دورية أكاديمية
Genome Modeling System: A Knowledge Management Platform for Genomics.
| العنوان: | Genome Modeling System: A Knowledge Management Platform for Genomics. |
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| المؤلفون: | Malachi Griffith, Obi L Griffith, Scott M Smith, Avinash Ramu, Matthew B Callaway, Anthony M Brummett, Michael J Kiwala, Adam C Coffman, Allison A Regier, Ben J Oberkfell, Gabriel E Sanderson, Thomas P Mooney, Nathaniel G Nutter, Edward A Belter, Feiyu Du, Robert L Long, Travis E Abbott, Ian T Ferguson, David L Morton, Mark M Burnett, James V Weible, Joshua B Peck, Adam Dukes, Joshua F McMichael, Justin T Lolofie, Brian R Derickson, Jasreet Hundal, Zachary L Skidmore, Benjamin J Ainscough, Nathan D Dees, William S Schierding, Cyriac Kandoth, Kyung H Kim, Charles Lu, Christopher C Harris, Nicole Maher, Christopher A Maher, Vincent J Magrini, Benjamin S Abbott, Ken Chen, Eric Clark, Indraniel Das, Xian Fan, Amy E Hawkins, Todd G Hepler, Todd N Wylie, Shawn M Leonard, William E Schroeder, Xiaoqi Shi, Lynn K Carmichael, Matthew R Weil, Richard W Wohlstadter, Gary Stiehr, Michael D McLellan, Craig S Pohl, Christopher A Miller, Daniel C Koboldt, Jason R Walker, James M Eldred, David E Larson, David J Dooling, Li Ding, Elaine R Mardis, Richard K Wilson |
| المصدر: | PLoS Computational Biology, Vol 11, Iss 7, p e1004274 (2015) |
| بيانات النشر: | Public Library of Science (PLoS), 2015. |
| سنة النشر: | 2015 |
| المجموعة: | LCC:Biology (General) |
| مصطلحات موضوعية: | Biology (General), QH301-705.5 |
| الوصف: | In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395) and matched lymphoblastoid line (HCC1395BL). These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1553-734X 1553-7358 |
| Relation: | https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
| DOI: | 10.1371/journal.pcbi.1004274 |
| URL الوصول: | https://doaj.org/article/8bd43ecac4d44f7cbb8d1a284c28cdab |
| رقم الأكسشن: | edsdoj.8bd43ecac4d44f7cbb8d1a284c28cdab |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1553734X 15537358 |
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| DOI: | 10.1371/journal.pcbi.1004274 |