Title |
Rainbow: a tool for large-scale whole-genome sequencing data analysis using cloud computing
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Published in |
BMC Genomics, June 2013
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DOI | 10.1186/1471-2164-14-425 |
Pubmed ID | |
Authors |
Shanrong Zhao, Kurt Prenger, Lance Smith, Thomas Messina, Hongtao Fan, Edward Jaeger, Susan Stephens |
Abstract |
Technical improvements have decreased sequencing costs and, as a result, the size and number of genomic datasets have increased rapidly. Because of the lower cost, large amounts of sequence data are now being produced by small to midsize research groups. Crossbow is a software tool that can detect single nucleotide polymorphisms (SNPs) in whole-genome sequencing (WGS) data from a single subject; however, Crossbow has a number of limitations when applied to multiple subjects from large-scale WGS projects. The data storage and CPU resources that are required for large-scale whole genome sequencing data analyses are too large for many core facilities and individual laboratories to provide. To help meet these challenges, we have developed Rainbow, a cloud-based software package that can assist in the automation of large-scale WGS data analyses. |
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Switzerland | 1 | 5% |
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Demographic breakdown
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Members of the public | 8 | 38% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
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Germany | 2 | 2% |
Colombia | 1 | <1% |
Turkey | 1 | <1% |
Switzerland | 1 | <1% |
Brazil | 1 | <1% |
Netherlands | 1 | <1% |
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Student > Bachelor | 11 | 11% |
Other | 8 | 8% |
Professor > Associate Professor | 6 | 6% |
Other | 17 | 17% |
Unknown | 12 | 12% |
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Medicine and Dentistry | 3 | 3% |
Other | 9 | 9% |
Unknown | 16 | 16% |