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Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1473 software packages. And an active user community. Bioconductor is also available as an AMI. Orchestrating high-throughput genomic analysis with.
Is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R. Programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis.
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