Big Data: Astronomical or Genomical?
Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estim...
Saved in:
| Published in | PLoS biology Vol. 13; no. 7; p. e1002195 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
01.07.2015
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a "four-headed beast"--it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the "genomical" challenges of the next decade. |
|---|---|
| AbstractList | Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a "four-headed beast"--it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the "genomical" challenges of the next decade. Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a "four-headed beast"--it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the "genomical" challenges of the next decade. Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a "four-headed beast"--it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the "genomical" challenges of the next decade.Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a "four-headed beast"--it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the "genomical" challenges of the next decade. Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a “four-headed beast”—it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the “genomical” challenges of the next decade. This perspective considers the growth of genomics over the next ten years and assesses the computational needs that we will face relative to other "Big Data" activities such as astronomy, YouTube, and Twitter. |
| Author | Zhai, Chengxiang Efron, Miles J. Robinson, Gene E. Stephens, Zachary D. Campbell, Roy H. Sinha, Saurabh Schatz, Michael C. Lee, Skylar Y. Iyer, Ravishankar Faghri, Faraz |
| AuthorAffiliation | 3 Carl R. Woese Institute for Genomic Biology & Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America 2 Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America 6 Carl R. Woese Institute for Genomic Biology, Department of Entomology, and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America 5 Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America 1 Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America 4 School of Library and Information Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America |
| AuthorAffiliation_xml | – name: 4 School of Library and Information Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America – name: 2 Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America – name: 3 Carl R. Woese Institute for Genomic Biology & Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America – name: 5 Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America – name: 6 Carl R. Woese Institute for Genomic Biology, Department of Entomology, and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America – name: 1 Coordinated Science Laboratory and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America |
| Author_xml | – sequence: 1 givenname: Zachary D. surname: Stephens fullname: Stephens, Zachary D. – sequence: 2 givenname: Skylar Y. surname: Lee fullname: Lee, Skylar Y. – sequence: 3 givenname: Faraz surname: Faghri fullname: Faghri, Faraz – sequence: 4 givenname: Roy H. surname: Campbell fullname: Campbell, Roy H. – sequence: 5 givenname: Chengxiang surname: Zhai fullname: Zhai, Chengxiang – sequence: 6 givenname: Miles J. surname: Efron fullname: Efron, Miles J. – sequence: 7 givenname: Ravishankar surname: Iyer fullname: Iyer, Ravishankar – sequence: 8 givenname: Michael C. surname: Schatz fullname: Schatz, Michael C. – sequence: 9 givenname: Saurabh surname: Sinha fullname: Sinha, Saurabh – sequence: 10 givenname: Gene E. surname: Robinson fullname: Robinson, Gene E. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26151137$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kUtPAyEUhYnR-P4HRrtw4aYVGBjAhca3JiZudE0Y5k6loUOFqYn_3hk7NdaFKy7w3XMunB20XocaEDogeEQyQU4nYR5r40ezwoURwZgSxdfQNuGMD4WUfP1XvYV2Upq0DFVUbqItmhNOWpVtdHzlxoMb05izwWVqYqjD1FnjByEO7qHfXOyhjcr4BPv9uote725frh-GT8_3j9eXT0PLlGyGZUULapWyZSVYIWnOFBAK1GbAMXDLGC4YVlmpbFdIxQFTpgzHhZIZY9kuOlroznxIun9g0kRgjrngqiMeF0QZzETPopua-KmDcfr7IMSxNrFx1oNmODNUFgpoWTICuTRgiRCVkIpURVa2Wue927yYQmmhbqLxK6KrN7V70-PwoRlTTOa8FTjpBWJ4n0Nq9NQlC96bGsK8nTtXnAhOOW7Rw99ePybLIFqALQAbQ0oRqh-EYN3lvfwO3eWt-7zbtrM_bdY1pnGhm9j5_5u_AKvfsjc |
| CitedBy_id | crossref_primary_10_1016_j_ygeno_2018_11_014 crossref_primary_10_3389_fgene_2019_00049 crossref_primary_10_3390_su131810018 crossref_primary_10_1139_gen_2015_0121 crossref_primary_10_1186_s12859_022_04944_z crossref_primary_10_1016_j_gpb_2020_01_002 crossref_primary_10_1109_TIT_2020_2999909 crossref_primary_10_1371_journal_pbio_3002988 crossref_primary_10_1016_j_bdr_2021_100253 crossref_primary_10_1089_hs_2023_0076 crossref_primary_10_1007_s42514_021_00081_w crossref_primary_10_1109_TCBB_2018_2864564 crossref_primary_10_12688_f1000research_9667_2 crossref_primary_10_12688_f1000research_9667_1 crossref_primary_10_1186_s12859_016_1281_5 crossref_primary_10_1016_j_csbj_2022_08_019 crossref_primary_10_1007_s00439_016_1658_6 crossref_primary_10_2174_1389201024666230411091057 crossref_primary_10_3390_ht7010008 crossref_primary_10_1093_bib_bbae513 crossref_primary_10_1155_2020_5929584 crossref_primary_10_15406_jabb_2023_10_00332 crossref_primary_10_1139_gen_2019_0141 crossref_primary_10_1038_s41467_022_34435_x crossref_primary_10_1186_s12859_017_1646_4 crossref_primary_10_1186_s40793_022_00425_1 crossref_primary_10_12688_f1000research_9511_1 crossref_primary_10_1016_j_bpa_2018_07_001 crossref_primary_10_1186_s12920_018_0423_1 crossref_primary_10_1371_journal_pone_0169605 crossref_primary_10_1373_clinchem_2018_289512 crossref_primary_10_1063_1_4977487 crossref_primary_10_7554_eLife_90061_3 crossref_primary_10_1016_j_ijrobp_2020_06_066 crossref_primary_10_1051_medsci_2021001 crossref_primary_10_1089_cmb_2022_0424 crossref_primary_10_13181_mji_rev_204250 crossref_primary_10_1016_j_drudis_2017_01_014 crossref_primary_10_1093_gigascience_gix120 crossref_primary_10_1093_bib_bbac205 crossref_primary_10_1007_s11227_021_03965_4 crossref_primary_10_1002_prot_26235 crossref_primary_10_1186_s12859_018_2077_6 crossref_primary_10_1002_jgm_2963 crossref_primary_10_12688_f1000research_10964_1 crossref_primary_10_12688_f1000research_10964_2 crossref_primary_10_3390_ijms242115858 crossref_primary_10_1093_bioinformatics_btx412 crossref_primary_10_33590_emj_22C9259 crossref_primary_10_1103_PhysRevResearch_2_043385 crossref_primary_10_1177_1178223420974665 crossref_primary_10_1177_0306312716681210 crossref_primary_10_3389_fpls_2023_1112973 crossref_primary_10_1186_s13040_021_00274_7 crossref_primary_10_1038_hortres_2016_56 crossref_primary_10_1371_journal_pbio_3000583 crossref_primary_10_1016_j_meegid_2024_105666 crossref_primary_10_2217_bmm_2021_0476 crossref_primary_10_1016_j_cell_2023_02_018 crossref_primary_10_1016_j_procir_2021_11_279 crossref_primary_10_1093_nar_gkw042 crossref_primary_10_1038_s41598_024_51381_4 crossref_primary_10_1109_TBDATA_2016_2608848 crossref_primary_10_1093_molbev_msac070 crossref_primary_10_1038_s41588_019_0483_y crossref_primary_10_1016_j_eswa_2024_125126 crossref_primary_10_1109_TC_2024_3365931 crossref_primary_10_1371_journal_pbio_1002418 crossref_primary_10_1371_journal_pone_0204937 crossref_primary_10_3389_feduc_2021_711512 crossref_primary_10_1371_journal_pcbi_1005755 crossref_primary_10_26508_lsa_201900546 crossref_primary_10_1080_14789450_2023_2265062 crossref_primary_10_1371_journal_pbio_3000333 crossref_primary_10_3389_fdata_2021_656553 crossref_primary_10_1111_cas_14377 crossref_primary_10_1371_journal_pone_0249410 crossref_primary_10_1111_pbi_13583 crossref_primary_10_1186_s12911_023_02392_0 crossref_primary_10_1093_bioinformatics_bty619 crossref_primary_10_1186_s12864_018_4508_1 crossref_primary_10_1093_database_baac062 crossref_primary_10_1101_gr_211748_116 crossref_primary_10_1109_JSSC_2020_3023822 crossref_primary_10_1186_s12859_022_05052_8 crossref_primary_10_1109_TCBB_2021_3118018 crossref_primary_10_1016_j_inffus_2025_103083 crossref_primary_10_1016_j_tips_2019_11_002 crossref_primary_10_1109_TC_2018_2854880 crossref_primary_10_1101_gr_276607_122 crossref_primary_10_1093_bib_bbz064 crossref_primary_10_12688_f1000research_16015_1 crossref_primary_10_1093_mictod_qaae062 crossref_primary_10_1109_ACCESS_2022_3175573 crossref_primary_10_1016_S2589_7500_23_00266_2 crossref_primary_10_1186_s12859_021_04521_w crossref_primary_10_1016_j_molp_2021_03_005 crossref_primary_10_1093_nar_gkaa332 crossref_primary_10_1186_s13059_019_1724_1 crossref_primary_10_1089_dna_2021_0501 crossref_primary_10_1016_j_pbi_2019_12_004 crossref_primary_10_1002_yea_3689 crossref_primary_10_1093_bioinformatics_bty632 crossref_primary_10_3389_fpls_2019_01046 crossref_primary_10_1093_ptj_pzy069 crossref_primary_10_1109_TCBB_2016_2535251 crossref_primary_10_1109_TCBB_2023_3264514 crossref_primary_10_1371_journal_pcbi_1004842 crossref_primary_10_7717_peerj_9470 crossref_primary_10_3389_fsci_2024_1298248 crossref_primary_10_1101_cshperspect_a025783 crossref_primary_10_3389_fmicb_2022_627892 crossref_primary_10_1038_nmeth_3654 crossref_primary_10_1038_s12276_021_00680_1 crossref_primary_10_1002_asi_24226 crossref_primary_10_1016_S1473_3099_21_00585_5 crossref_primary_10_1186_s12864_023_09859_4 crossref_primary_10_1016_j_jiec_2019_05_036 crossref_primary_10_1186_s12284_019_0276_z crossref_primary_10_1186_s12859_019_3121_x crossref_primary_10_1038_s41598_021_99288_8 crossref_primary_10_1002_adbi_202100535 crossref_primary_10_1002_wics_1617 crossref_primary_10_1007_s00417_023_06052_x crossref_primary_10_1109_TBDATA_2016_2643683 crossref_primary_10_1016_j_plabm_2020_e00168 crossref_primary_10_1093_bioinformatics_btac639 crossref_primary_10_52547_jipm_37_2_617 crossref_primary_10_1093_gigascience_giy017 crossref_primary_10_1111_exsy_12301 crossref_primary_10_1109_TKDE_2024_3381192 crossref_primary_10_1177_1729881420917293 crossref_primary_10_3390_biom11081245 crossref_primary_10_1002_mgg3_281 crossref_primary_10_1136_bmjgh_2019_001550 crossref_primary_10_1038_s42003_024_06249_8 crossref_primary_10_1109_TPDS_2023_3309462 crossref_primary_10_1093_aje_kww224 crossref_primary_10_1186_s13059_022_02743_6 crossref_primary_10_1038_s41398_020_00957_5 crossref_primary_10_1038_s41431_023_01303_1 crossref_primary_10_3389_fgene_2017_00094 crossref_primary_10_1093_bioinformatics_btx562 crossref_primary_10_1093_femsre_fuad003 crossref_primary_10_1111_jwip_12151 crossref_primary_10_1016_j_molp_2019_05_005 crossref_primary_10_1371_journal_pone_0249850 crossref_primary_10_1016_j_copbio_2019_03_004 crossref_primary_10_3389_fdata_2024_1466391 crossref_primary_10_1016_j_yamp_2018_06_002 crossref_primary_10_1142_S0219720022500135 crossref_primary_10_1007_s11673_017_9809_6 crossref_primary_10_1007_s13127_015_0236_4 crossref_primary_10_1093_bioinformatics_bty205 crossref_primary_10_3390_applbiosci2020020 crossref_primary_10_1186_s40537_023_00838_w crossref_primary_10_1016_j_cois_2017_12_003 crossref_primary_10_3390_fi14100273 crossref_primary_10_7717_peerj_8592 crossref_primary_10_1093_bioinformatics_btw385 crossref_primary_10_1093_nar_gkw1236 crossref_primary_10_1016_j_drudis_2020_10_002 crossref_primary_10_1007_s42979_019_0005_0 crossref_primary_10_1159_000481682 crossref_primary_10_1109_ACCESS_2021_3128757 crossref_primary_10_1098_rspb_2022_1113 crossref_primary_10_1016_j_jbi_2021_103815 crossref_primary_10_1093_nar_gkab341 crossref_primary_10_1186_s12967_024_04911_7 crossref_primary_10_1007_s00453_023_01186_0 crossref_primary_10_1089_bio_2022_0042 crossref_primary_10_1093_jamia_ocaa068 crossref_primary_10_1093_nar_gkw1101 crossref_primary_10_3389_fgene_2019_00675 crossref_primary_10_1177_20552076221114225 crossref_primary_10_1038_srep31699 crossref_primary_10_1016_j_hjdsi_2016_09_004 crossref_primary_10_1080_28338073_2022_2162202 crossref_primary_10_1139_gen_2020_0096 crossref_primary_10_1016_j_future_2024_01_011 crossref_primary_10_1109_TNB_2016_2631406 crossref_primary_10_1093_bioinformatics_btab330 crossref_primary_10_1093_bioinformatics_btz763 crossref_primary_10_1093_database_bay098 crossref_primary_10_1093_bioinformatics_btab696 crossref_primary_10_1371_journal_pone_0172187 crossref_primary_10_1109_TCBB_2019_2959273 crossref_primary_10_4103_NRR_NRR_D_24_00532 crossref_primary_10_4236_ns_2018_109033 crossref_primary_10_1016_j_newast_2018_06_006 crossref_primary_10_1109_TETC_2022_3153613 crossref_primary_10_7717_peerj_6046 crossref_primary_10_3390_ijms23094645 crossref_primary_10_1007_s42770_024_01496_7 crossref_primary_10_1093_bib_bbx071 crossref_primary_10_1093_nar_gkv1310 crossref_primary_10_1016_j_ins_2018_12_033 crossref_primary_10_1016_j_tree_2021_12_007 crossref_primary_10_1186_s12859_022_04559_4 crossref_primary_10_1016_j_biotechadv_2024_108376 crossref_primary_10_1038_ncomms15586 crossref_primary_10_1186_s13073_016_0388_7 crossref_primary_10_1371_journal_pone_0209331 crossref_primary_10_1016_j_future_2019_10_038 crossref_primary_10_3389_fnins_2021_591122 crossref_primary_10_1093_molbev_msz177 crossref_primary_10_1186_s13326_017_0129_x crossref_primary_10_1093_bioinformatics_btx135 crossref_primary_10_1186_s12859_020_3429_6 crossref_primary_10_1016_j_pneurobio_2016_03_008 crossref_primary_10_1186_s13326_022_00266_4 crossref_primary_10_1038_s41598_021_88321_5 crossref_primary_10_1016_j_cels_2016_04_004 crossref_primary_10_1080_14786435_2018_1529442 crossref_primary_10_3390_genes10121017 crossref_primary_10_1186_s12859_019_2827_0 crossref_primary_10_1186_s13059_016_0997_x crossref_primary_10_1021_acsmacrolett_0c00885 crossref_primary_10_1007_s11082_022_03903_5 crossref_primary_10_1371_journal_pcbi_1009291 crossref_primary_10_1016_j_gene_2024_148235 crossref_primary_10_3390_biomedinformatics2020021 crossref_primary_10_1007_s10493_018_0288_1 crossref_primary_10_1186_s13321_020_0416_x crossref_primary_10_1053_j_seminoncol_2020_02_006 crossref_primary_10_3390_genes16010034 crossref_primary_10_1093_synbio_ysae010 crossref_primary_10_1097_MOH_0000000000000536 crossref_primary_10_51483_IJDSBDA_1_3_2021_6_14 crossref_primary_10_1093_bioinformatics_btx001 crossref_primary_10_1158_0008_5472_CAN_16_2346 crossref_primary_10_1145_3563044 crossref_primary_10_1016_j_bpa_2020_07_004 crossref_primary_10_1093_gigascience_giad031 crossref_primary_10_1038_s41592_021_01254_9 crossref_primary_10_3390_laws4030515 crossref_primary_10_1101_gr_191684_115 crossref_primary_10_1109_ACCESS_2022_3181147 crossref_primary_10_1038_nrg_2016_69 crossref_primary_10_1071_IS16059 crossref_primary_10_1093_bioinformatics_bty128 crossref_primary_10_1186_s12859_022_04712_z crossref_primary_10_1007_s41060_018_0104_3 crossref_primary_10_1016_j_compbiomed_2024_109276 crossref_primary_10_1089_omi_2019_0057 crossref_primary_10_1093_biomethods_bpae040 crossref_primary_10_3389_fevo_2021_660941 crossref_primary_10_1007_s00216_017_0628_8 crossref_primary_10_3389_fmicb_2021_705233 crossref_primary_10_1109_TCBB_2021_3106311 crossref_primary_10_1109_TCBB_2019_2943856 crossref_primary_10_3389_fgene_2021_636429 crossref_primary_10_3934_microbiol_2017_3_383 crossref_primary_10_1109_TCBB_2021_3108843 crossref_primary_10_4045_tidsskr_15_1262 crossref_primary_10_1038_s41598_017_13259_6 crossref_primary_10_1371_journal_pcbi_1008383 crossref_primary_10_1093_bib_bbw078 crossref_primary_10_1097_CIN_0000000000000488 crossref_primary_10_1200_CCI_20_00072 crossref_primary_10_1016_j_cels_2021_05_014 crossref_primary_10_1016_j_crmicr_2022_100159 crossref_primary_10_1186_s12859_022_04922_5 crossref_primary_10_1073_pnas_2109409118 crossref_primary_10_1177_2050312120934839 crossref_primary_10_1007_s41781_018_0018_8 crossref_primary_10_1109_MM_2020_3013728 crossref_primary_10_3389_fpls_2018_00361 crossref_primary_10_13169_prometheus_36_2_0116 crossref_primary_10_1093_biosci_biy068 crossref_primary_10_1109_TC_2018_2875733 crossref_primary_10_1016_j_cub_2016_09_030 crossref_primary_10_1073_pnas_1802244115 crossref_primary_10_1093_nar_gkv1352 crossref_primary_10_1371_journal_pcbi_1009581 crossref_primary_10_1080_23808993_2016_1157686 crossref_primary_10_3389_fbinf_2021_693836 crossref_primary_10_1016_j_cmpbup_2021_100009 crossref_primary_10_1186_s13059_019_1841_x crossref_primary_10_1002_advs_202408705 crossref_primary_10_1007_s11042_019_7368_z crossref_primary_10_1016_j_compbiolchem_2018_03_024 crossref_primary_10_1016_j_crbiot_2022_02_004 crossref_primary_10_2217_pme_2018_0035 crossref_primary_10_3390_e21111074 crossref_primary_10_1002_wcms_1408 crossref_primary_10_1093_bioinformatics_btz472 crossref_primary_10_1093_jigpal_jzaa034 crossref_primary_10_3897_mbmg_1_14791 crossref_primary_10_1093_synbio_ysad014 crossref_primary_10_1093_nar_gkw1137 crossref_primary_10_1093_bioinformatics_bty023 crossref_primary_10_3390_ijms232214418 crossref_primary_10_1099_mgen_0_000398 crossref_primary_10_4103_ijmr_IJMR_576_21 crossref_primary_10_1057_s41599_019_0283_0 crossref_primary_10_1016_j_tpb_2017_01_004 crossref_primary_10_1093_bib_bbv087 crossref_primary_10_1016_j_ijrobp_2015_10_060 crossref_primary_10_1186_s12859_019_2969_0 crossref_primary_10_1186_s12864_018_5194_8 crossref_primary_10_2217_pgs_2016_0152 crossref_primary_10_1007_s00335_023_09992_1 crossref_primary_10_1111_nyas_14930 crossref_primary_10_18699_vjgb_24_101 crossref_primary_10_31083_j_fbl2901007 crossref_primary_10_1093_bib_bby106 crossref_primary_10_1287_opre_2018_1748 crossref_primary_10_1097_PPO_0000000000000318 crossref_primary_10_1515_ci_2017_0309 crossref_primary_10_1093_gji_ggw319 crossref_primary_10_1142_S0219720020500316 crossref_primary_10_3389_fphys_2018_00700 crossref_primary_10_3390_biom9080299 crossref_primary_10_1021_acscatal_8b03613 crossref_primary_10_1109_TKDE_2018_2871031 crossref_primary_10_1101_gr_207464_116 crossref_primary_10_1007_s40484_017_0114_5 crossref_primary_10_1016_j_future_2022_08_005 crossref_primary_10_1016_j_euroneuro_2019_09_008 crossref_primary_10_3389_fitd_2023_1151336 crossref_primary_10_1186_s13104_024_06964_9 crossref_primary_10_3389_fgene_2020_00152 crossref_primary_10_1101_gr_206870_116 crossref_primary_10_3389_fgene_2022_1045450 crossref_primary_10_36401_IDDB_21_04 crossref_primary_10_1111_eva_12860 crossref_primary_10_1002_prot_25800 crossref_primary_10_1007_s12687_017_0331_7 crossref_primary_10_1016_j_jpain_2019_05_008 crossref_primary_10_1109_TCBB_2016_2576447 crossref_primary_10_1093_gigascience_giaa077 crossref_primary_10_1016_j_plantsci_2019_03_020 crossref_primary_10_1038_s41396_020_00777_x crossref_primary_10_1091_mbc_E17_10_0606 crossref_primary_10_1093_bioinformatics_btac010 crossref_primary_10_3389_fdata_2021_582468 crossref_primary_10_1038_s41586_020_2817_4 crossref_primary_10_1002_cpbi_29 crossref_primary_10_18699_VJGB_23_03 crossref_primary_10_1038_s41540_018_0054_3 crossref_primary_10_1186_s40066_021_00287_9 crossref_primary_10_1215_22011919_11327348 crossref_primary_10_1093_bioinformatics_btz375 crossref_primary_10_1016_j_imu_2022_101024 crossref_primary_10_1371_journal_pcbi_1007134 crossref_primary_10_1016_j_ymben_2020_10_005 crossref_primary_10_1093_gigascience_giz095 crossref_primary_10_3389_fbioe_2018_00112 crossref_primary_10_1093_bib_bbx125 crossref_primary_10_1093_gigascience_giz092 crossref_primary_10_1016_j_datak_2024_102370 crossref_primary_10_1093_biosci_biab107 crossref_primary_10_1111_age_12655 crossref_primary_10_1038_s10038_019_0684_3 crossref_primary_10_1038_s41596_018_0103_9 crossref_primary_10_1038_s41598_025_91781_8 crossref_primary_10_1053_j_semnuclmed_2020_09_003 crossref_primary_10_1186_s12859_024_05776_9 crossref_primary_10_1016_j_comnet_2018_08_005 crossref_primary_10_1007_s40291_017_0264_1 crossref_primary_10_1093_database_bax046 crossref_primary_10_5808_gi_21056 crossref_primary_10_1038_s43588_021_00089_w crossref_primary_10_1093_nar_gkw992 crossref_primary_10_1186_s12859_020_03565_8 crossref_primary_10_1111_1755_0998_12569 crossref_primary_10_7717_peerj_6562 crossref_primary_10_1513_AnnalsATS_201810_716WS crossref_primary_10_1007_s00018_019_03378_w crossref_primary_10_1007_s13167_018_0130_1 crossref_primary_10_1182_blood_2019_01_896076 crossref_primary_10_3233_SW_200374 crossref_primary_10_1016_j_scitotenv_2019_135906 crossref_primary_10_2298_CSIS210314062D crossref_primary_10_1109_JPROC_2021_3082027 crossref_primary_10_1016_j_iot_2020_100307 crossref_primary_10_1002_cpbi_45 crossref_primary_10_1016_j_atg_2015_10_004 crossref_primary_10_1146_annurev_genom_083115_022545 crossref_primary_10_1186_s12920_020_0720_3 crossref_primary_10_1093_bioinformatics_btad243 crossref_primary_10_1093_bioinformatics_btae452 crossref_primary_10_1093_bioinformatics_btz272 crossref_primary_10_1038_s43588_023_00519_x crossref_primary_10_1145_3358211 crossref_primary_10_1002_widm_1394 crossref_primary_10_1089_big_2019_0144 crossref_primary_10_3389_feduc_2024_1455173 crossref_primary_10_3390_biomedinformatics1030010 crossref_primary_10_1093_bib_bbx102 crossref_primary_10_3390_microorganisms11071830 crossref_primary_10_1007_s13167_020_00213_2 crossref_primary_10_1016_j_coisb_2017_07_011 crossref_primary_10_1186_s12920_018_0399_x crossref_primary_10_54097_hset_v11i_1262 crossref_primary_10_1093_bib_bbae098 crossref_primary_10_3390_genes13101732 crossref_primary_10_1093_gigascience_giab018 crossref_primary_10_1002_cpbi_54 crossref_primary_10_1002_ppp3_10186 crossref_primary_10_1038_s41597_020_0541_4 crossref_primary_10_1186_s13059_019_1838_5 crossref_primary_10_1038_nrg_2017_113 crossref_primary_10_1159_000494131 crossref_primary_10_1007_s11427_018_9278_3 crossref_primary_10_1093_gigascience_giaa042 crossref_primary_10_1093_bioinformatics_btab077 crossref_primary_10_1145_3426473 crossref_primary_10_1093_gbe_evae229 crossref_primary_10_1371_journal_pone_0232942 crossref_primary_10_5334_dsj_2017_049 crossref_primary_10_1109_JPROC_2015_2494198 crossref_primary_10_1109_ACCESS_2022_3158305 crossref_primary_10_3390_ijms18020412 crossref_primary_10_1186_s12859_023_05240_0 crossref_primary_10_1186_s12859_024_05907_2 crossref_primary_10_1259_bjr_20180856 crossref_primary_10_1007_s10586_017_0874_8 crossref_primary_10_1186_s12864_022_08510_y crossref_primary_10_1016_j_smim_2019_101301 crossref_primary_10_1002_cpe_4037 crossref_primary_10_3390_s24185890 crossref_primary_10_1080_1051144X_2017_1404800 crossref_primary_10_1111_tan_15549 crossref_primary_10_1038_s41437_020_0303_2 crossref_primary_10_2139_ssrn_3802771 crossref_primary_10_1093_nar_gkw540 crossref_primary_10_36401_IDDB_24_5 crossref_primary_10_1186_s40537_019_0217_0 crossref_primary_10_1109_MC_2024_3408526 crossref_primary_10_1371_journal_pcbi_1008661 crossref_primary_10_1177_1176934319889974 crossref_primary_10_1371_journal_pcbi_1009631 crossref_primary_10_1093_gigascience_giad025 crossref_primary_10_1177_1094342016654214 crossref_primary_10_1126_science_aav3751 crossref_primary_10_2139_ssrn_2979349 crossref_primary_10_1093_bib_bbad183 crossref_primary_10_1186_s12859_021_04516_7 crossref_primary_10_1109_ACCESS_2019_2910180 crossref_primary_10_1093_bioinformatics_btac066 crossref_primary_10_1002_cpe_70025 crossref_primary_10_1016_j_drudis_2024_103990 crossref_primary_10_1093_nar_gky977 crossref_primary_10_3389_fpubh_2018_00068 crossref_primary_10_3847_1538_4365_aaadb2 crossref_primary_10_1109_TCSI_2024_3362354 crossref_primary_10_1136_rmdopen_2020_001324 crossref_primary_10_1186_s40537_019_0183_6 crossref_primary_10_1038_gt_2017_77 crossref_primary_10_1109_TNSM_2018_2873831 crossref_primary_10_1007_s10791_017_9297_7 crossref_primary_10_1371_journal_pone_0211608 crossref_primary_10_1145_3434399 crossref_primary_10_3390_s23156787 crossref_primary_10_1093_gigascience_giad014 crossref_primary_10_1016_j_xgen_2021_100085 crossref_primary_10_1038_nrg_2016_86 crossref_primary_10_1186_s12859_016_1211_6 crossref_primary_10_1109_ACCESS_2018_2888601 crossref_primary_10_1016_j_patter_2020_100093 crossref_primary_10_1016_j_sbi_2015_11_003 crossref_primary_10_1002_cpbi_84 crossref_primary_10_1186_s12864_023_09643_4 crossref_primary_10_1016_j_jclinane_2020_109738 crossref_primary_10_1371_journal_pone_0178195 crossref_primary_10_1109_TCBB_2022_3219114 crossref_primary_10_1109_ACCESS_2020_3034793 crossref_primary_10_1073_pnas_1720115115 crossref_primary_10_1177_1176935119835546 crossref_primary_10_1093_gigascience_giab064 crossref_primary_10_1016_j_is_2020_101668 crossref_primary_10_1109_TIT_2020_3042746 crossref_primary_10_1093_pnasnexus_pgaf008 crossref_primary_10_1111_1755_0998_12577 crossref_primary_10_7554_eLife_90061 crossref_primary_10_1007_s11265_019_01452_x crossref_primary_10_1038_s41540_024_00351_7 crossref_primary_10_1111_cgf_13705 crossref_primary_10_1016_j_csbj_2020_11_049 crossref_primary_10_1080_17460441_2017_1319356 crossref_primary_10_1128_microbiolspec_RWR_0033_2018 crossref_primary_10_1007_s40258_019_00474_7 crossref_primary_10_1016_j_ab_2019_113516 crossref_primary_10_1111_nyas_13207 crossref_primary_10_1016_j_omtn_2023_102085 crossref_primary_10_3390_d14080647 crossref_primary_10_1109_TCBB_2022_3140873 crossref_primary_10_3389_fgene_2019_00736 crossref_primary_10_1016_j_tifs_2022_04_015 crossref_primary_10_1088_1742_6596_898_3_032009 crossref_primary_10_1126_science_aaw1280 crossref_primary_10_1016_j_patter_2022_100548 crossref_primary_10_1039_D1NP00006C crossref_primary_10_1371_journal_pcbi_1010622 crossref_primary_10_1109_TCBB_2022_3231466 crossref_primary_10_1186_s12864_021_07657_4 crossref_primary_10_1098_rsif_2017_0387 crossref_primary_10_1007_s11916_024_01264_0 crossref_primary_10_1093_bioinformatics_btz192 crossref_primary_10_1101_gr_262261_120 crossref_primary_10_1007_s11227_018_2714_x crossref_primary_10_1186_s12863_023_01111_y crossref_primary_10_1016_j_cnur_2024_12_002 crossref_primary_10_1177_11779322231171779 crossref_primary_10_1371_journal_pcbi_1010749 crossref_primary_10_1109_TCBB_2020_3043979 crossref_primary_10_1007_s11517_023_02837_8 crossref_primary_10_3390_sym14091911 crossref_primary_10_1109_TBDATA_2019_2934475 crossref_primary_10_1109_TCBB_2023_3240196 crossref_primary_10_1016_j_cois_2015_12_002 crossref_primary_10_1089_cbr_2018_2758 crossref_primary_10_1186_s12864_018_5221_9 crossref_primary_10_1109_ACCESS_2018_2872686 crossref_primary_10_1021_acs_analchem_4c04355 crossref_primary_10_1016_j_mec_2020_e00149 crossref_primary_10_1007_s12041_024_01485_7 crossref_primary_10_1007_s00180_021_01116_0 crossref_primary_10_3390_ani11102833 crossref_primary_10_3390_chips2020005 crossref_primary_10_53941_aim_2024_100006 crossref_primary_10_5370_KIEE_2016_65_7_1236 crossref_primary_10_1016_j_ymeth_2016_09_002 crossref_primary_10_1158_0008_5472_CAN_22_0100 crossref_primary_10_1155_2019_3108950 crossref_primary_10_1093_gigascience_giaa119 crossref_primary_10_1145_2957324 crossref_primary_10_3389_fgene_2022_1042550 crossref_primary_10_1186_s13040_021_00280_9 crossref_primary_10_1093_bib_bbae352 crossref_primary_10_1093_nar_gkab902 crossref_primary_10_1158_0008_5472_CAN_19_0585 crossref_primary_10_1039_D0AN00272K crossref_primary_10_1038_s42256_023_00618_4 crossref_primary_10_1093_bib_bbab087 crossref_primary_10_1093_gigascience_giz135 crossref_primary_10_1038_s41386_020_00795_5 crossref_primary_10_2174_0929867325666180904113616 crossref_primary_10_1007_s10462_024_10910_3 crossref_primary_10_3389_fgene_2022_865182 crossref_primary_10_1093_gbe_evac111 crossref_primary_10_4000_revss_411 crossref_primary_10_1038_s41598_019_51284_9 crossref_primary_10_1146_annurev_anchem_071015_041734 crossref_primary_10_1093_jmicro_dfaf013 crossref_primary_10_1109_ACCESS_2019_2891948 crossref_primary_10_1093_bib_bbad051 crossref_primary_10_1016_j_jmgm_2025_109011 crossref_primary_10_1007_s00253_022_12039_1 crossref_primary_10_1109_TVCG_2020_3030340 crossref_primary_10_1021_acsphyschemau_4c00003 crossref_primary_10_1038_s41598_020_57452_6 crossref_primary_10_3389_fmed_2018_00013 crossref_primary_10_1016_j_csbj_2017_07_004 crossref_primary_10_1038_s12276_024_01243_w crossref_primary_10_1093_gigascience_gix091 crossref_primary_10_1126_science_abl3533 crossref_primary_10_1145_3340286 crossref_primary_10_2215_CJN_14661119 crossref_primary_10_1186_s13326_023_00301_y crossref_primary_10_1186_s12859_023_05548_x crossref_primary_10_3390_e20060393 crossref_primary_10_1007_s10460_023_10417_7 crossref_primary_10_1038_s41525_021_00229_1 crossref_primary_10_18632_oncotarget_22345 crossref_primary_10_1016_j_jcpo_2017_12_008 crossref_primary_10_1088_1742_6596_898_11_112001 crossref_primary_10_3390_app131910580 crossref_primary_10_1002_widm_1414 crossref_primary_10_1186_s13104_019_4256_6 crossref_primary_10_1093_gigascience_giz044 crossref_primary_10_1093_bfgp_elae050 crossref_primary_10_3390_biology13090697 crossref_primary_10_1016_j_ymeth_2018_10_017 crossref_primary_10_1016_j_taap_2019_114707 crossref_primary_10_1111_tpj_14179 crossref_primary_10_1016_j_dam_2018_03_035 crossref_primary_10_1016_j_sbi_2019_04_004 crossref_primary_10_1007_s00109_016_1478_0 crossref_primary_10_2217_pme_15_44 crossref_primary_10_1109_MPULS_2019_2899747 crossref_primary_10_1186_s12910_024_01050_y crossref_primary_10_1111_imb_12599 crossref_primary_10_1186_s13326_017_0146_9 crossref_primary_10_1007_s00259_022_06056_5 crossref_primary_10_1038_s41467_020_18008_4 crossref_primary_10_1145_3375890 crossref_primary_10_1016_j_conb_2019_03_012 crossref_primary_10_1371_journal_pone_0179462 crossref_primary_10_3390_genes10010018 crossref_primary_10_1186_s12920_017_0282_1 crossref_primary_10_7717_peerj_cs_155 crossref_primary_10_1038_s41587_020_0699_5 crossref_primary_10_1161_CIRCGEN_119_002746 crossref_primary_10_3389_fonc_2021_712505 crossref_primary_10_1089_cmb_2019_0324 crossref_primary_10_1093_bioinformatics_btw505 crossref_primary_10_1093_bioadv_vbae210 crossref_primary_10_1142_S0129054118430086 crossref_primary_10_1177_0165551518789880 crossref_primary_10_3389_fcell_2023_1260507 crossref_primary_10_3389_fmicb_2021_642543 crossref_primary_10_1093_bioinformatics_btx702 crossref_primary_10_1128_jmbe_v21i1_2005 crossref_primary_10_1186_s12859_017_1840_4 crossref_primary_10_1016_j_ymeth_2016_08_014 crossref_primary_10_1186_s13326_017_0136_y crossref_primary_10_1007_s11042_019_08358_7 crossref_primary_10_1016_S2155_8256_16_31007_9 crossref_primary_10_1016_j_coisb_2018_01_003 crossref_primary_10_31857_S0320972521120071 crossref_primary_10_1186_s12859_019_3049_1 crossref_primary_10_1186_s12864_016_2629_y crossref_primary_10_1007_s00799_023_00350_9 crossref_primary_10_3390_mps5020027 crossref_primary_10_1073_pnas_1821201116 crossref_primary_10_1007_s00521_019_04051_w crossref_primary_10_1089_cmb_2019_0333 crossref_primary_10_2174_1389202919666181026101326 crossref_primary_10_1038_nature_2015_17912 crossref_primary_10_1007_s11390_020_0825_3 crossref_primary_10_1111_vox_13035 crossref_primary_10_1016_j_tig_2020_03_005 crossref_primary_10_1016_j_bmc_2017_07_012 crossref_primary_10_1093_gbe_evaa217 crossref_primary_10_1016_j_cels_2018_05_012 crossref_primary_10_1002_widm_1476 crossref_primary_10_1093_bioadv_vbad144 crossref_primary_10_1093_bioinformatics_btx737 crossref_primary_10_1016_j_ejca_2017_07_028 crossref_primary_10_3389_feduc_2024_1342378 crossref_primary_10_1093_bib_bbaa091 crossref_primary_10_3389_fbioe_2021_612893 crossref_primary_10_7717_peerj_12130 crossref_primary_10_1080_08927022_2018_1448976 crossref_primary_10_3389_fdigh_2018_00013 crossref_primary_10_1111_1755_0998_12745 crossref_primary_10_1080_17474124_2020_1815533 crossref_primary_10_1109_ACCESS_2022_3182714 crossref_primary_10_1016_j_ic_2023_105088 crossref_primary_10_1002_bdra_23592 crossref_primary_10_1016_j_gpb_2016_01_005 crossref_primary_10_1109_JPROC_2016_2615052 crossref_primary_10_1016_j_cmpb_2018_08_007 |
| Cites_doi | 10.1109/eScienceW.2010.13 10.1109/ICTON.2013.6602704 10.1186/2047-217X-3-8 10.1016/j.cell.2012.02.009 10.1038/nature11632 10.1186/gb-2013-14-8-129 10.1186/gb-2009-10-11-r134 10.1186/gb-2012-13-11-177 10.1371/journal.pbio.0050082 10.1038/msb.2012.61 10.1126/science.aaa6432 10.1038/488448a 10.1016/j.mib.2014.11.014 10.1038/nbt0710-691 10.1038/nm.2323 10.1109/ISCA.2008.15 10.1093/bioinformatics/btn582 10.1038/nmeth0710-495 10.1371/journal.pbio.1001127 10.1186/gm303 10.1186/gb-2011-12-8-125 10.1101/gr.114819.110 10.1371/journal.pbio.1001377 10.1126/science.331.6023.1386 10.1038/ng.3243 10.1038/nbt.2862 10.1186/gb-2004-5-2-r12 10.1038/nmeth.2410 |
| ContentType | Journal Article |
| Copyright | 2015 Stephens et al 2015 Stephens et al 2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Stephens ZD, Lee SY, Faghri F, Campbell RH, Zhai C, Efron MJ, et al. (2015) Big Data: Astronomical or Genomical? PLoS Biol 13(7): e1002195. doi:10.1371/journal.pbio.1002195 |
| Copyright_xml | – notice: 2015 Stephens et al 2015 Stephens et al – notice: 2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Stephens ZD, Lee SY, Faghri F, Campbell RH, Zhai C, Efron MJ, et al. (2015) Big Data: Astronomical or Genomical? PLoS Biol 13(7): e1002195. doi:10.1371/journal.pbio.1002195 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM DOA CZG |
| DOI | 10.1371/journal.pbio.1002195 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals PLoS Biology |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1545-7885 |
| ExternalDocumentID | 1705057594 oai_doaj_org_article_403a28b9e2dd41e68aec177f7891fb3d PMC4494865 26151137 10_1371_journal_pbio_1002195 |
| Genre | Research Support, U.S. Gov't, Non-P.H.S Comparative Study Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: NIGMS NIH HHS grantid: U54 GM114838 – fundername: NIGMS NIH HHS grantid: 1U54GM114838 – fundername: NHGRI NIH HHS grantid: R01 HG006677 – fundername: NHGRI NIH HHS grantid: R01-HG006677 |
| GroupedDBID | --- 123 29O 2WC 36B 53G 5VS 7X7 7XC 88E 8FE 8FH 8FI 8FJ AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABUWG ACGFO ACIHN ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AFXKF AHMBA AKRSQ ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS ATCPS B0M BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI BWKFM CCPQU CITATION CS3 DIK DU5 E3Z EAD EAP EAS EBD EBS EJD EMB EMK EMOBN EPL ESX F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAG IAO IGS IHR IOV ISE ISN ISR ITC KQ8 LK8 M1P M48 M7P O5R O5S OK1 OVT P2P PATMY PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO PV9 PYCSY QF4 QN7 RNS RPM RZL SJN SV3 TR2 TUS UKHRP WOW XSB YZZ ~8M .GJ ADXHL C1A CGR CUY CVF ECM EIF IPNFZ NPM PJZUB PPXIY PQGLB RIG WOQ 7X8 5PM PUEGO - 3V. AAPBV ABFLS ABPTK ADACO AGJBV BBAFP CZG M~E PQEST PQUKI PRINS ZA5 |
| ID | FETCH-LOGICAL-c498t-df2b2c99cdf74b82649e12e2c3e50e5c440b4093d9c0b40895e0249a50b983443 |
| IEDL.DBID | M48 |
| ISSN | 1545-7885 1544-9173 |
| IngestDate | Fri Nov 26 17:13:15 EST 2021 Wed Aug 27 01:23:57 EDT 2025 Thu Aug 21 18:22:11 EDT 2025 Fri Jul 11 00:57:23 EDT 2025 Mon Jul 21 05:54:10 EDT 2025 Tue Jul 01 00:46:08 EDT 2025 Thu Apr 24 23:06:43 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Language | English |
| License | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. Creative Commons Attribution License |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c498t-df2b2c99cdf74b82649e12e2c3e50e5c440b4093d9c0b40895e0249a50b983443 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 The authors have declared that no competing interests exist. |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pbio.1002195 |
| PMID | 26151137 |
| PQID | 1695175250 |
| PQPubID | 23479 |
| ParticipantIDs | plos_journals_1705057594 doaj_primary_oai_doaj_org_article_403a28b9e2dd41e68aec177f7891fb3d pubmedcentral_primary_oai_pubmedcentral_nih_gov_4494865 proquest_miscellaneous_1695175250 pubmed_primary_26151137 crossref_primary_10_1371_journal_pbio_1002195 crossref_citationtrail_10_1371_journal_pbio_1002195 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2015-07-01 |
| PublicationDateYYYYMMDD | 2015-07-01 |
| PublicationDate_xml | – month: 07 year: 2015 text: 2015-07-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Francisco, CA USA |
| PublicationTitle | PLoS biology |
| PublicationTitleAlternate | PLoS Biol |
| PublicationYear | 2015 |
| Publisher | Public Library of Science Public Library of Science (PLoS) |
| Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
| References | ref13 ref12 ref14 S. Kumar (ref41) 2014 M.C. Schatz (ref47) 2010; 28 ref52 ref11 R. Patro (ref31) 2014; 32 ref10 D. Gevers (ref19) 2012; 10 P.-R. Loh (ref28) 2012; 30 S. Koren (ref29) 2015; 23C L. Chin (ref4) 2011; 17 A. Sboner (ref36) 2011; 12 C. Mora (ref15) 2011; 9 J.Y. Li (ref16) 2014; 3 A. Golden (ref32) 2013; 8 ref51 ref50 J. Giles (ref6) 2012; 488 ref46 ref45 ref48 R. Chen (ref26) 2012; 148 C.H. Djoerd Hiemstra (ref33) 2012; 89 ref49 ref8 O. Trelles (ref44) 2011; 12 ref7 ref9 J. Zhu (ref17) 2012; 4 ref5 ref40 ref35 ref34 ref37 M. Baker (ref38) 2010; 7 G.R. Abecasis (ref3) 2012; 491 M. Hsi-Yang Fritz (ref27) 2011; 21 ref1 W.W. Soon (ref25) 2013; 9 S. Christley (ref30) 2009; 25 ref24 ref23 J.A. Eisen (ref18) 2007; 5 ref20 ref21 P. Sulem (ref22) 2015; 47 Y. Erlich (ref39) 2014; 15 B. Langmead (ref42) 2009; 10 S. Kurtz (ref43) 2004; 5 G.E. Robinson (ref2) 2011; 18 |
| References_xml | – ident: ref1 – ident: ref5 – ident: ref20 – volume: 30 start-page: 627 year: 2012 ident: ref28 article-title: Nature Biotechnology publication-title: Nature Biotechnology – ident: ref24 – ident: ref40 doi: 10.1109/eScienceW.2010.13 – ident: ref46 doi: 10.1109/ICTON.2013.6602704 – ident: ref9 – volume: 15 start-page: 409 issue: 6 year: 2014 ident: ref39 article-title: Routes for breaching and protecting genetic privacy. Nature reviews publication-title: Genetics – volume: 3 start-page: 8 year: 2014 ident: ref16 article-title: The 3,000 rice genomes project: new opportunities and challenges for future rice research publication-title: GigaScience doi: 10.1186/2047-217X-3-8 – volume: 148 start-page: 1293 issue: 6 year: 2012 ident: ref26 article-title: Personal omics profiling reveals dynamic molecular and medical phenotypes publication-title: Cell doi: 10.1016/j.cell.2012.02.009 – ident: ref11 – ident: ref34 – volume: 89 start-page: 31 year: 2012 ident: ref33 article-title: Brute Force Information Retrieval Experiments using MapReduce' publication-title: ERCIM News – volume: 491 start-page: 56 issue: 7422 year: 2012 ident: ref3 article-title: An integrated map of genetic variation from 1,092 human genomes publication-title: Nature doi: 10.1038/nature11632 – ident: ref13 – volume: 8 start-page: 129 year: 2013 ident: ref32 article-title: Astrogenomics: big data, old problems, old solutions? publication-title: Genome Biology doi: 10.1186/gb-2013-14-8-129 – volume: 10 start-page: R134 issue: 11 year: 2009 ident: ref42 article-title: Searching for SNPs with cloud computing publication-title: Genome Biol doi: 10.1186/gb-2009-10-11-r134 – volume: 12 start-page: 224 issue: 3 year: 2011 ident: ref44 article-title: Big data, but are we ready? Nature reviews publication-title: Genetics – ident: ref49 doi: 10.1186/gb-2012-13-11-177 – volume: 5 start-page: e82 issue: 3 year: 2007 ident: ref18 article-title: Environmental shotgun sequencing: its potential and challenges for studying the hidden world of microbes publication-title: PLoS Biology doi: 10.1371/journal.pbio.0050082 – ident: ref50 – year: 2014 ident: ref41 – volume: 9 start-page: 640 year: 2013 ident: ref25 article-title: High-throughput sequencing for biology and medicine publication-title: Molecular systems biology doi: 10.1038/msb.2012.61 – ident: ref23 doi: 10.1126/science.aaa6432 – ident: ref12 – volume: 488 start-page: 448 issue: 7412 year: 2012 ident: ref6 article-title: Computational social science: Making the links publication-title: Nature doi: 10.1038/488448a – volume: 23C start-page: 110 year: 2015 ident: ref29 article-title: One chromosome, one contig: complete microbial genomes from long-read sequencing and assembly publication-title: Current opinion in microbiology doi: 10.1016/j.mib.2014.11.014 – volume: 28 start-page: 691 issue: 7 year: 2010 ident: ref47 article-title: Cloud computing and the DNA data race publication-title: Nature biotechnology doi: 10.1038/nbt0710-691 – volume: 17 start-page: 297 issue: 3 year: 2011 ident: ref4 article-title: Cancer genomics: from discovery science to personalized medicine publication-title: Nature medicine doi: 10.1038/nm.2323 – ident: ref7 – ident: ref45 doi: 10.1109/ISCA.2008.15 – volume: 25 start-page: 274 issue: 2 year: 2009 ident: ref30 article-title: Human genomes as email attachments publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn582 – volume: 7 start-page: 495 year: 2010 ident: ref38 article-title: Next-generation sequencing: adjusting to data overload publication-title: Nature Methods doi: 10.1038/nmeth0710-495 – ident: ref51 – ident: ref48 – volume: 9 start-page: e1001127 year: 2011 ident: ref15 article-title: How Many Species Are There on Earth and in the Ocean? publication-title: PLoS Biology doi: 10.1371/journal.pbio.1001127 – volume: 4 start-page: 4 issue: 1 year: 2012 ident: ref17 article-title: A year of great leaps in genome research publication-title: Genome medicine doi: 10.1186/gm303 – volume: 12 start-page: 125 year: 2011 ident: ref36 article-title: The real cost of sequencing: higher than you think! publication-title: Genome Biology doi: 10.1186/gb-2011-12-8-125 – volume: 21 start-page: 734 issue: 5 year: 2011 ident: ref27 article-title: Efficient storage of high throughput DNA sequencing data using reference-based compression publication-title: Genome research doi: 10.1101/gr.114819.110 – volume: 10 start-page: e1001377 issue: 8 year: 2012 ident: ref19 article-title: The Human Microbiome Project: a community resource for the healthy human microbiome publication-title: PLoS Biology doi: 10.1371/journal.pbio.1001377 – volume: 18 start-page: 1386 year: 2011 ident: ref2 article-title: Creating a Buzz About Insect Genomes publication-title: Science doi: 10.1126/science.331.6023.1386 – volume: 47 start-page: 448 year: 2015 ident: ref22 article-title: Identification of a large set of rare complete human knockouts publication-title: Nature genetics doi: 10.1038/ng.3243 – volume: 32 start-page: 462 issue: 5 year: 2014 ident: ref31 article-title: Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms publication-title: Nature biotechnology doi: 10.1038/nbt.2862 – ident: ref21 – volume: 5 start-page: R12 issue: 2 year: 2004 ident: ref43 article-title: Versatile and open software for comparing large genomes publication-title: Genome Biol doi: 10.1186/gb-2004-5-2-r12 – ident: ref52 – ident: ref8 – ident: ref37 doi: 10.1038/nmeth.2410 – ident: ref10 – ident: ref35 – ident: ref14 |
| SSID | ssj0022928 |
| Score | 2.6578028 |
| Snippet | Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data... Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data... |
| SourceID | plos doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e1002195 |
| SubjectTerms | Astronomy Astronomy - trends Big Data Cancer Consortia Deoxyribonucleic acid DNA Genomes Genomics - trends Information Storage and Retrieval Initiatives Laboratories Science Social Media - trends Social networks Statistics as Topic |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS-UwFD6IILgRdXxUnaEDbqvNq2ncDDrqyICuFNyVJD3VC9KK97rw35vT5l7uFcGNuz5Smpxz0nwnSb8P4NA7dFI2mDWsaDIpnMtMoZrMceVKUoPPLc13XN8UV3fy_726n5P6oj1hAz3wYLhjmQvLS2eQ17VkWJQWPdO60aVhjRM1fX3DmDdNpmKqxU2vqkpUM6E7axF_mhOaHUcfHT27UdcTkDLSlpgblHrufuI6ferGn-HOj9sn58ajy3VYi0AyPR0asAFL2G7CyiAt-fYDDs9GD-m5ndiT9HRM091dzwuQdi_pP4wnf7bg7vLi9u9VFhURMi9NOcnqhjvujfF1o6ULmYE0yDhyL1DlqLyUuQsJm6iNp4PSKCRKQKtyZ0hQQ2zDctu1uAtpbQsfPjDOceElZ4VVEpEzy3PLdY51AmJqkspHunBSrXiq-jUwHdKGoaEVGbKKhkwgmz31PNBlfFH-jKw9K0tk1_2FEAJVDIHqqxBIYJd8NX3BuCKKIMKhRibwe-q_KvQbWgyxLXavoUwRsKWmRd0EdgZ_zmrBCeaFOiegFzy9UM3FO-3osefmlkS3U6i972jXPqwGeKaGzcEHsDx5ecWfAQJN3K8-2t8BhCEC3w priority: 102 providerName: Directory of Open Access Journals |
| Title | Big Data: Astronomical or Genomical? |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/26151137 https://www.proquest.com/docview/1695175250 https://pubmed.ncbi.nlm.nih.gov/PMC4494865 https://doaj.org/article/403a28b9e2dd41e68aec177f7891fb3d http://dx.doi.org/10.1371/journal.pbio.1002195 |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Za9wwEB5yUOhL6R33WFzIq4MlS5YVKCHbJg0tCW3pwr4ZSR6nC4ud7m4g-ffVyPaSLSmFvhgfki2PNJ4Zjfx9APvOohWixqRmeZ2IzNpE57JOLJe2IDb41NB8x_lFfjYRn6dyugUDZ2svwOW9oR3xSU0W84ObX7dHXuHfB9YGxYZKB1d21gZIUablNux626SI0-BcrPMKnOvAtkoQNF7NVdb_TPe3uxBUMJl8RjTpd-xWgPcnONR5u7zPNf1zheUdk3X6GB71vmZ83A2OJ7CFzVN40LFP3j6D_fHsMv5oVuYwPl7SjHgboAPidhF_wv7g6DlMTk9-fDhLetKExAldrJKq5pY7rV1VK2F98CA0Mo7cZShTlE6I1PqYLqu0o51CSyTUQCNTq4lzI3sBO03b4B7Elcmd_wZZyzMnOMuNFIicGZ4arlKsIsgGkZSuRxQnYot5GdJkykcW3YuWJNOyl2kEybrWVYeo8Y_yY5L2uizhYYcT7eKy7NWrFGlmeGE18qoSDPPCoGNK1arQrLaZb-oe9dXwgGVJKELkqmoRwbuh_0qvWpQvMQ22175M7t1PRXnfCF52_bluxTAsIlAbPb3RzM0rzexngO8WhMiTy1f_XfM1PPRum-wWDb-BndXiGt9612hlR7CtpmoEu-OTi6_fR2GCwW-_fCtGQQ9-A74IEVs |
| linkProvider | Scholars Portal |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Big+Data%3A+Astronomical+or+Genomical%3F&rft.jtitle=PLoS+biology&rft.au=Stephens%2C+Zachary+D.&rft.au=Lee%2C+Skylar+Y.&rft.au=Faghri%2C+Faraz&rft.au=Campbell%2C+Roy+H.&rft.date=2015-07-01&rft.pub=Public+Library+of+Science&rft.issn=1544-9173&rft.eissn=1545-7885&rft.volume=13&rft.issue=7&rft_id=info:doi/10.1371%2Fjournal.pbio.1002195&rft_id=info%3Apmid%2F26151137&rft.externalDocID=PMC4494865 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1545-7885&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1545-7885&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1545-7885&client=summon |