Big Data access and infrastructure for modern biology: case studies in data repository utility
Big Data is no longer solely the purview of big organizations with big resources. Today's routine tools and experimental methods can generate large slices of data. For example, high‐throughput sequencing can quickly interrogate biological systems for the expression levels of thousands of differ...
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Published in | Annals of the New York Academy of Sciences Vol. 1387; no. 1; pp. 112 - 123 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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01.01.2017
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Abstract | Big Data is no longer solely the purview of big organizations with big resources. Today's routine tools and experimental methods can generate large slices of data. For example, high‐throughput sequencing can quickly interrogate biological systems for the expression levels of thousands of different RNAs, examine epigenetic marks throughout the genome, and detect differences in the genomes of individuals. Multichannel electrophysiology platforms produce gigabytes of data in just a few minutes of recording. Imaging systems generate videos capturing biological behaviors over the course of days. Thus, any researcher now has access to a veritable wealth of data. However, the ability of any given researcher to utilize that data is limited by her/his own resources and skills for downloading, storing, and analyzing the data. In this paper, we examine the necessary resources required to engage Big Data, survey the state of modern data analysis pipelines, present a few data repository case studies, and touch on current institutions and programs supporting the work that relies on Big Data. |
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AbstractList | Big Data is no longer solely the purview of big organizations with big resources. Today's routine tools and experimental methods can generate large slices of data. For example, high-throughput sequencing can quickly interrogate biological systems for the expression levels of thousands of different RNAs, examine epigenetic marks throughout the genome, and detect differences in the genomes of individuals. Multichannel electrophysiology platforms produce gigabytes of data in just a few minutes of recording. Imaging systems generate videos capturing biological behaviors over the course of days. Thus, any researcher now has access to a veritable wealth of data. However, the ability of any given researcher to utilize that data is limited by her/his own resources and skills for downloading, storing, and analyzing the data. In this paper, we examine the necessary resources required to engage Big Data, survey the state of modern data analysis pipelines, present a few data repository case studies, and touch on current institutions and programs supporting the work that relies on Big Data. |
Author | Bergeron, Charles Kiehl, Thomas R. Boles, Nathan C. Stone, Tyler |
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Cites_doi | 10.1038/nnano.2012.265 10.1186/1471-2202-7-11 10.1007/s12021-012-9151-4 10.1007/s12021-009-9048-z 10.1038/nmeth.3252 10.1186/gb-2004-5-10-r80 10.1371/journal.pone.0140829 10.1371/journal.pone.0107400 10.1093/bioinformatics/btt199 10.1377/hlthaff.2014.0038 10.1186/1471-2202-10-93 10.1093/nar/gks1050 10.1186/gb4161 10.1186/1471-2202-14-38 10.1016/j.neuro.2010.04.001 10.1007/978-3-642-23740-9_1 10.1101/gr.4086505 10.1093/nar/gkv1275 10.3389/fnins.2014.00423 10.1007/s00216-010-3968-1 10.1097/PHH.0000000000000127 10.1007/s12021-008-9009-y 10.1093/nar/gkq1184 10.1371/journal.pone.0083899 10.1093/bioinformatics/btt637 10.1186/1471-2202-14-22 10.1038/ng.2764 10.1371/journal.pone.0003355 |
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SubjectTerms | Access to Information Animals Big Data Biomedical Research - methods Biomedical Research - trends Case studies cloud computing Cloud Computing - trends Computer Communication Networks - instrumentation Computer Communication Networks - trends data analysis Data Mining - methods Data Mining - trends Decision Making, Computer-Assisted electrophysiology gene expression Genomics - methods Genomics - trends Humans Image Processing, Computer-Assisted Internet Researchers Software Systems Biology - instrumentation Systems Biology - methods Systems Biology - trends |
Title | Big Data access and infrastructure for modern biology: case studies in data repository utility |
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