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The bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data As bioinformaticians you will most likely operate within bioconductor universe. We foster an inclusive and collaborative community of developers and data scientists.
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It primarily utilizes the r programming language and offers a wide range of packages for bioinformatics and computational biology. Bioconductor is similar to cran as an interface to access r packages, but contains packages that are more biology oriented and curated by the team of experts Launched in 2001, it has grown into a major repository with over 2,000 r packages tailored to various bioinformatics tasks.
Built on the r programming language, bioconductor can offer a wide range of packages for bioinformatics computational biology, and computational biology.
Its aim is to enable interdisciplinary research through collaborative and rapid development of scientific software. The bioconductor project provides software for associating microarray and other genomic data in real time with biological metadata from web databases such as genbank, entrez genes and pubmed (annotate package).
