Assembly Graph Browser: interactive visualization of assembly graphs
Abstract Summary Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Brows...
Saved in:
Published in | Bioinformatics Vol. 35; no. 18; pp. 3476 - 3478 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
15.09.2019
|
Online Access | Get full text |
Cover
Loading…
Abstract | Abstract
Summary
Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. Assembly Graph Browser includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e. the graphs obtained by collapsing a selected set of edges) and a new approach to visualizing large assembly graphs.
Availability and implementation
http://www.github.com/almiheenko/AGB.
Supplementary information
Supplementary data are available at Bioinformatics online. |
---|---|
AbstractList | Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. Assembly Graph Browser includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e. the graphs obtained by collapsing a selected set of edges) and a new approach to visualizing large assembly graphs.SUMMARYCurrently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. Assembly Graph Browser includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e. the graphs obtained by collapsing a selected set of edges) and a new approach to visualizing large assembly graphs.http://www.github.com/almiheenko/AGB.AVAILABILITY AND IMPLEMENTATIONhttp://www.github.com/almiheenko/AGB.Supplementary data are available at Bioinformatics online.SUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online. Abstract Summary Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. Assembly Graph Browser includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e. the graphs obtained by collapsing a selected set of edges) and a new approach to visualizing large assembly graphs. Availability and implementation http://www.github.com/almiheenko/AGB. Supplementary information Supplementary data are available at Bioinformatics online. Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an assembly. Since interactive visualization of large assembly graphs remains an open problem, we developed an Assembly Graph Browser (AGB) tool that visualizes large assembly graphs, extending the functionality of previously developed visualization approaches. AGB includes a number of novel functions including repeat analysis, construction of the contracted assembly graphs (i.e., the graphs obtained by collapsing a selected set of edges), and a new approach to visualizing large assembly graphs. http://www.github.com/almiheenko/AGB. Supplementary data are available at Bioinformatics online. |
Author | Kolmogorov, Mikhail Mikheenko, Alla |
Author_xml | – sequence: 1 givenname: Alla orcidid: 0000-0003-3400-9719 surname: Mikheenko fullname: Mikheenko, Alla email: a.mikheenko@spbu.ru organization: Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia – sequence: 2 givenname: Mikhail surname: Kolmogorov fullname: Kolmogorov, Mikhail organization: Department of Computer Science and Engineering, University of California, San Diego, CA, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30715194$$D View this record in MEDLINE/PubMed |
BookMark | eNqNkMtOwzAQRS1URB_wCaAs2YTazhtWpUBBqsQG1tHEGYNREgc7KWq_npS0SLCB1czinDuaOyaDSldIyCmjF4wm3jRTWlVSmxIaJew0azY04gdkxPyQupwGyaDbvTBy_Zh6QzK29o3SgPm-f0SGHo1YwBJ_RG5m1mKZFWtnYaB-da6N_rBoLh1VNWhANGqFzkrZFgq16U7pytHSgb30spXsMTmUUFg82c0Jeb67fZrfu8vHxcN8tnSFH3qNKxBAoGSZ5Mh5Eic-5AnmkcwDSQWlCBgBoPRCLjMMGTAe0EDGWRID30ZMyHmfWxv93qJt0lJZgUUBFerWppxFScC7p2mHnu3QNisxT2ujSjDrdP95BwQ9IIy21qD8RhhNtw2nPxtO-4Y77-qXJ1TzVUxjQBV_2rS3dVv_8-AnaAOc4w |
CitedBy_id | crossref_primary_10_1016_j_pbi_2019_12_009 crossref_primary_10_1146_annurev_genom_120219_080406 crossref_primary_10_1186_s13059_021_02566_x crossref_primary_10_3389_fmicb_2021_613791 crossref_primary_10_3390_biom13091403 crossref_primary_10_1186_s12870_021_03173_5 crossref_primary_10_1016_j_csbj_2024_04_060 crossref_primary_10_1186_s12859_019_3145_2 crossref_primary_10_1016_j_jare_2025_01_052 crossref_primary_10_1038_s41586_022_04601_8 crossref_primary_10_1094_MPMI_34_7 crossref_primary_10_1094_MPMI_01_21_0001_A crossref_primary_10_1146_annurev_arplant_080720_105454 crossref_primary_10_3389_fgene_2022_1042550 |
Cites_doi | 10.1101/247148 10.1093/bioinformatics/btv383 10.1109/TVCG.2009.116 10.1093/nar/gky726 10.1093/bioinformatics/btw379 10.1126/science.287.5461.2196 10.1093/bioinformatics/bty266 10.1073/pnas.171285098 10.1089/cmb.2012.0021 10.1038/nbt.1754 10.1101/gr.215087.116 10.1101/gr.126953.111 10.1002/1097-024X(200009)30:11<1203::AID-SPE338>3.0.CO;2-N 10.1089/cmb.2009.0238 10.1101/gr.228718.117 |
ContentType | Journal Article |
Copyright | The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2019 The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. |
Copyright_xml | – notice: The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2019 – notice: The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. |
DBID | AAYXX CITATION NPM 7X8 |
DOI | 10.1093/bioinformatics/btz072 |
DatabaseName | CrossRef PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 1460-2059 1367-4811 |
EndPage | 3478 |
ExternalDocumentID | 30715194 10_1093_bioinformatics_btz072 10.1093/bioinformatics/btz072 |
Genre | Journal Article |
GrantInformation_xml | – fundername: MCB-BSF grantid: 1715911 – fundername: NSF funderid: 10.13039/100000001 – fundername: St. Petersburg State University, St. Petersburg grantid: 28396291 |
GroupedDBID | -~X .2P 5GY AAMVS ABJNI ABPTD ACGFS ADZXQ ALMA_UNASSIGNED_HOLDINGS F5P HW0 Q5Y RD5 TLC TN5 TOX WH7 --- -E4 .DC .I3 0R~ 23N 2WC 4.4 48X 53G 5WA 70D AAIJN AAIMJ AAJKP AAKPC AAMDB AAOGV AAPQZ AAPXW AAUQX AAVAP AAVLN AAYXX ABEJV ABEUO ABGNP ABIXL ABNKS ABPQP ABQLI ABWST ABXVV ABZBJ ACIWK ACPRK ACUFI ACUXJ ACYTK ADBBV ADEYI ADEZT ADFTL ADGKP ADGZP ADHKW ADHZD ADMLS ADOCK ADPDF ADRDM ADRTK ADVEK ADYVW ADZTZ AECKG AEGPL AEJOX AEKKA AEKSI AELWJ AEMDU AENEX AENZO AEPUE AETBJ AEWNT AFFZL AFGWE AFIYH AFOFC AFRAH AGINJ AGKEF AGQXC AGSYK AHMBA AHXPO AIJHB AJEEA AJEUX AKHUL AKWXX ALTZX ALUQC AMNDL APIBT APWMN ARIXL ASPBG AVWKF AXUDD AYOIW AZVOD BAWUL BAYMD BHONS BQDIO BQUQU BSWAC BTQHN C45 CDBKE CITATION CS3 CZ4 DAKXR DIK DILTD DU5 D~K EBD EBS EE~ EMOBN F9B FEDTE FHSFR FLIZI FLUFQ FOEOM FQBLK GAUVT GJXCC GROUPED_DOAJ GX1 H13 H5~ HAR HZ~ IOX J21 JXSIZ KAQDR KOP KQ8 KSI KSN M-Z MK~ ML0 N9A NGC NLBLG NMDNZ NOMLY NU- O9- OAWHX ODMLO OJQWA OK1 OVD OVEED P2P PAFKI PEELM PQQKQ Q1. R44 RNS ROL RPM RUSNO RW1 RXO SV3 TEORI TJP TR2 W8F WOQ X7H YAYTL YKOAZ YXANX ZKX ~91 ~KM ADRIX AFXEN BCRHZ EJD M49 NPM ROX 7X8 |
ID | FETCH-LOGICAL-c463t-ceaacef1bf2e229894ad9ed7fd5f0c00eae7aaef362fbe61a12505f8b98a2c463 |
IEDL.DBID | TOX |
ISSN | 1367-4803 1367-4811 |
IngestDate | Fri Jul 11 01:38:57 EDT 2025 Wed Feb 19 02:34:18 EST 2025 Tue Jul 01 02:33:48 EDT 2025 Thu Apr 24 23:12:08 EDT 2025 Wed Apr 02 07:04:42 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 18 |
Language | English |
License | This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c463t-ceaacef1bf2e229894ad9ed7fd5f0c00eae7aaef362fbe61a12505f8b98a2c463 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0003-3400-9719 |
OpenAccessLink | https://academic.oup.com/bioinformatics/article-pdf/35/18/3476/30024589/btz072.pdf |
PMID | 30715194 |
PQID | 2179523670 |
PQPubID | 23479 |
PageCount | 3 |
ParticipantIDs | proquest_miscellaneous_2179523670 pubmed_primary_30715194 crossref_primary_10_1093_bioinformatics_btz072 crossref_citationtrail_10_1093_bioinformatics_btz072 oup_primary_10_1093_bioinformatics_btz072 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-09-15 |
PublicationDateYYYYMMDD | 2019-09-15 |
PublicationDate_xml | – month: 09 year: 2019 text: 2019-09-15 day: 15 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England |
PublicationTitle | Bioinformatics |
PublicationTitleAlternate | Bioinformatics |
PublicationYear | 2019 |
Publisher | Oxford University Press |
Publisher_xml | – name: Oxford University Press |
References | Mikheenko (2023020108350539300_btz072-B10) 2018; 34 Robinson (2023020108350539300_btz072-B15) 2011; 29 Pu (2023020108350539300_btz072-B14) 2018; 28 Pevzner (2023020108350539300_btz072-B13) 2001; 98 Nielsen (2023020108350539300_btz072-B12) 2009; 15 Gansner (2023020108350539300_btz072-B3) 2000; 30 Schmid (2023020108350539300_btz072-B16) 2018; 46 Jaffe (2023020108350539300_btz072-B4) 2012 Boisvert (2023020108350539300_btz072-B2) 2010; 17 Wick (2023020108350539300_btz072-B18) 2015; 31 Koren (2023020108350539300_btz072-B7) 2017; 27 Kolmogorov (2023020108350539300_btz072-B6) 2018 Mikheenko (2023020108350539300_btz072-B9) 2016; 32 Simpson (2023020108350539300_btz072-B17) 2012; 22 Bankevich (2023020108350539300_btz072-B1) 2012; 19 Kunyavskaya (2023020108350539300_btz072-B8) 2018 Myers (2023020108350539300_btz072-B11) 2000; 287 Karypis (2023020108350539300_btz072-B5) 1998 |
References_xml | – year: 2018 ident: 2023020108350539300_btz072-B6 article-title: Assembly of Long Error-Prone Reads Using Repeat Graphs doi: 10.1101/247148 – volume: 31 start-page: 3350 year: 2015 ident: 2023020108350539300_btz072-B18 article-title: Bandage: interactive visualization of de novo genome assemblies publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv383 – volume: 15 start-page: 881 year: 2009 ident: 2023020108350539300_btz072-B12 article-title: ABySS-Explorer: visualizing genome sequence assemblies publication-title: IEEE Trans. Vis. Comput. Graph doi: 10.1109/TVCG.2009.116 – volume: 46 start-page: 8953 year: 2018 ident: 2023020108350539300_btz072-B16 article-title: Pushing the limits of de novo genome assembly for complex prokaryotic genomes harboring very long, near identical repeats publication-title: Nucleic Acids Res doi: 10.1093/nar/gky726 – volume: 32 start-page: 3321 year: 2016 ident: 2023020108350539300_btz072-B9 article-title: Icarus: visualizer for de novo assembly evaluation publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw379 – volume: 287 start-page: 2196 year: 2000 ident: 2023020108350539300_btz072-B11 article-title: A whole-genome assembly of Drosophila publication-title: Science doi: 10.1126/science.287.5461.2196 – volume: 34 start-page: i142 year: 2018 ident: 2023020108350539300_btz072-B10 article-title: Versatile genome assembly evaluation with QUAST-LG publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty266 – start-page: 1 volume-title: Proceedings of the 1998 ACM/IEEE Conference on Supercomputing year: 1998 ident: 2023020108350539300_btz072-B5 – volume: 98 start-page: 9748 year: 2001 ident: 2023020108350539300_btz072-B13 article-title: An Eulerian path approach to DNA fragment assembly publication-title: PNAS doi: 10.1073/pnas.171285098 – volume: 19 start-page: 455 year: 2012 ident: 2023020108350539300_btz072-B1 article-title: SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing publication-title: J. Comput. Biol doi: 10.1089/cmb.2012.0021 – volume: 29 start-page: 24 year: 2011 ident: 2023020108350539300_btz072-B15 article-title: Integrative genomics viewer publication-title: Nat. Biotechnol doi: 10.1038/nbt.1754 – volume: 27 start-page: 722 year: 2017 ident: 2023020108350539300_btz072-B7 article-title: Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation publication-title: Genome Res doi: 10.1101/gr.215087.116 – volume: 22 start-page: 549 year: 2012 ident: 2023020108350539300_btz072-B17 article-title: Efficient de novo assembly of large genomes using compressed data structures publication-title: Genome Res doi: 10.1101/gr.126953.111 – year: 2012 ident: 2023020108350539300_btz072-B4 – volume: 30 start-page: 1203 year: 2000 ident: 2023020108350539300_btz072-B3 article-title: An open graph visualization system and its applications to software engineering publication-title: Softw. Pract. Exper doi: 10.1002/1097-024X(200009)30:11<1203::AID-SPE338>3.0.CO;2-N – year: 2018 ident: 2023020108350539300_btz072-B8 article-title: SGTK: a toolkit for visualization and assessment of scaffold graphs publication-title: Bioinformatics – volume: 17 start-page: 1519 year: 2010 ident: 2023020108350539300_btz072-B2 article-title: Ray: simultaneous assembly of reads from a mix of high-throughput sequencing technologies publication-title: J. Comput. Biol doi: 10.1089/cmb.2009.0238 – volume: 28 start-page: 901 year: 2018 ident: 2023020108350539300_btz072-B14 article-title: Detection and analysis of ancient segmental duplications in mammalian genomes publication-title: Genome Res doi: 10.1101/gr.228718.117 |
SSID | ssj0051444 ssj0005056 |
Score | 2.3790798 |
Snippet | Abstract
Summary
Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive... Currently, most genome assembly projects focus on contigs and scaffolds rather than assembly graphs that provide a more comprehensive representation of an... |
SourceID | proquest pubmed crossref oup |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 3476 |
Title | Assembly Graph Browser: interactive visualization of assembly graphs |
URI | https://www.ncbi.nlm.nih.gov/pubmed/30715194 https://www.proquest.com/docview/2179523670 |
Volume | 35 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA9jIPgifju_iOCLD3Vpm37EN1HnENSXDfZWkjSBwWzFdYP515tL2skUUR8LvStc0tzvuPx-h9B5HqUyTgPqSa0YFCihx31feTLWoL2pqRTAHX58ivtD-jCKRi1EGi7M1xY-C7tiXNYioiBc3BXVO0ng0DWJGMTyB8-jzzsdBJRh3INBAtSNtAVl75SEDX_nJ5crmWmF7fYNdNrk09tEGzVqxNdumbdQSxXbaM3NkVzsoFto3b6IyQLfg_40htrabK0rDGIQlgY1V3g-ngKB0tEucakxb4ysaPV0Fw17d4ObvlePR_AkjcPKk4pzqbQvdKACK6TOc6byROeRJpIQxVXCudImRWmhYp_7AHd0KljKA3Cxh9pFWagDhEXEDHKTfm6KQ8pSyUWYJ0QLadK5lCLqINqEJpO1djiMsJhkrocdZqsRzVxEO-hyafbqxDN-M7gwcf_ru2fN6mTml4A-By9UOZtmpspikVWm66B9t2xLl-ZIMxiH0cN_fOkIrRuYZG-W-dExaldvM3VioEglTu32-wB88OLA |
linkProvider | Oxford University Press |
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=Assembly+Graph+Browser%3A+interactive+visualization+of+assembly+graphs&rft.jtitle=Bioinformatics+%28Oxford%2C+England%29&rft.au=Mikheenko%2C+Alla&rft.au=Kolmogorov%2C+Mikhail&rft.date=2019-09-15&rft.issn=1367-4803&rft.eissn=1367-4811&rft.volume=35&rft.issue=18&rft.spage=3476&rft.epage=3478&rft_id=info:doi/10.1093%2Fbioinformatics%2Fbtz072&rft.externalDBID=n%2Fa&rft.externalDocID=10_1093_bioinformatics_btz072 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1367-4803&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1367-4803&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1367-4803&client=summon |