Orchestrating high-throughput genomic analysis with Bioconductor.
| Title | Orchestrating high-throughput genomic analysis with Bioconductor. |
| Publication Type | Journal Article |
| Authors | Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HCorrada, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M |
| 2015 | |
| Journal | Nat Methods |
| Volume | 12 |
| Issue | 2 |
| Pages | 115-21 |
| Computational Biology, Gene Expression Profiling, Genomics, High-Throughput Screening Assays, Programming Languages, software, User-Computer Interface | |
Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors. | |
| 10.1038/nmeth.3252 | |
| PubMed ID | 25633503 |
| PubMed Central ID | PMC4509590 |
| Grant List | P41 HG004059 / HG / NHGRI NIH HHS / United States U41 HG004059 / HG / NHGRI NIH HHS / United States U41HG004059 / HG / NHGRI NIH HHS / United States |