Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data. The project was started in the Fall of 2001. The Bioconductor core team is based primarily at the Biostatistics Unit of the Dana Farber Cancer Institute at the Harvard Medical School/Harvard School of Public Health. Other members come from various US and international institutions. Bioconductor Packages. Although initial efforts focused primarily on DNA microarray data analysis, many of the software tools are general and can be used broadly for the analysis of genomic data, such as SAGE, sequence, or SNP data. Goals of the Bioconductor Project. The broad goals of the projects are to: a) provide access to a wide range of powerful statistical and graphical methods for the analysis of genomic data; b) facilitate the integration of biological metadata in the analysis of experimental data: e.g. literature data from PubMed, annotation data from LocusLink; c) allow the rapid development of extensible, scalable, and interoperable software; d) promote high-quality documentation and reproducible research; and e) provide training in computational and statistical methods for the analysis of genomic data. This has been added to Biological Informatics Subject Tracer™ Information Blog.
posted by Marcus Zillman |
4:10 AM
