期刊
PLOS COMPUTATIONAL BIOLOGY
卷 13, 期 5, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1005425
关键词
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资金
- NIH/ NHGRI [U41 HG005542]
- German Federal Ministry of Education and Research grant [031A538A de.NBI]
- Collaborative Research Centre 992 Medical Epigenetics grant [SFB 992/1 2012]
- Huck Institutes for the Life Sciences at Penn State
- Pennsylvania Department of Health using Tobacco Settlement Funds
What does it take to convert a heap of sequencing data into a publishable result? First, common tools are employed to reduce primary data (sequencing reads) to a form suitable for further analyses (i.e., the list of variable sites). The subsequent exploratory stage is much more ad hoc and requires the development of custom scripts and pipelines, making it problematic for biomedical researchers. Here, we describe a hybrid platform combining common analysis pathways with the ability to explore data interactively. It aims to fully encompass and simplify the raw data-to-publication pathway and make it reproducible.
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