The Bioconductor project provides an open resource for the development and distribution of innovative reliable software for computational biology and bioinformatics. The range of available software is broad and rapidly growing as are both the user community and the developer community. The project maintains a web portal for delivering software and documentation to end users as well as an active mailing list. Additional services for developers include a software archive, mailing list and assistance and advice program development and design ? ? We propose an active development strategy designed to meet new challenges while simultaneously providing user and developer support for existing tools and methods. In particular we emphasize a design strategy that accommodates the imperfect, yet evolving nature of biological knowledge and the relatively rapid development of new experimental technologies. Software solutions must be able to rapidly adapt and to facilitate new problems when they arise. ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Biotechnology Resource Grants (P41)
Project #
5P41HG004059-03
Application #
7495201
Study Section
Special Emphasis Panel (ZHG1-HGR-N (M2))
Program Officer
Bonazzi, Vivien
Project Start
2006-09-28
Project End
2011-07-31
Budget Start
2008-08-01
Budget End
2009-07-31
Support Year
3
Fiscal Year
2008
Total Cost
$805,222
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Pasolli, Edoardo; Schiffer, Lucas; Manghi, Paolo et al. (2017) Accessible, curated metagenomic data through ExperimentHub. Nat Methods 14:1023-1024
Huber, Wolfgang; Carey, Vincent J; Gentleman, Robert et al. (2015) Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods 12:115-21
Lawrence, Michael; Huber, Wolfgang; Pages, Herve et al. (2013) Software for computing and annotating genomic ranges. PLoS Comput Biol 9:e1003118
Gurtowski, James; Schatz, Michael C; Langmead, Ben (2012) Genotyping in the cloud with Crossbow. Curr Protoc Bioinformatics Chapter 15:Unit15.3
Le Meur, Nolwenn; Gentleman, Robert (2012) Analyzing biological data using R: methods for graphs and networks. Methods Mol Biol 804:343-73
Frazee, Alyssa C; Langmead, Ben; Leek, Jeffrey T (2011) ReCount: a multi-experiment resource of analysis-ready RNA-seq gene count datasets. BMC Bioinformatics 12:449
Cao, Yi; Yao, Zizhen; Sarkar, Deepayan et al. (2010) Genome-wide MyoD binding in skeletal muscle cells: a potential for broad cellular reprogramming. Dev Cell 18:662-74
Carvalho, Benilton S; Irizarry, Rafael A (2010) A framework for oligonucleotide microarray preprocessing. Bioinformatics 26:2363-7
Langmead, Ben; Hansen, Kasper D; Leek, Jeffrey T (2010) Cloud-scale RNA-sequencing differential expression analysis with Myrna. Genome Biol 11:R83
Langmead, Ben (2010) Aligning short sequencing reads with Bowtie. Curr Protoc Bioinformatics Chapter 11:Unit 11.7

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