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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.
r-bioc-biocgenerics (0.2.0-1) unstable; urgency=low * Initial release (Closes: #677311) -- Andreas Tille <firstname.lastname@example.org> Wed, 13 Jun 2012 09:09:41 +0200
o Functions defined in base R that would need to be explicitly promoted to generics in the BiocGenerics package (currently they are implicitly made generics by the IRanges package): From package base: - as.data.frame(): implicit generic dispatches on (x, row.names, optional). Explicit generic should dispatch on (x) only. - append(): implicit generic dispatches on (x, values, a more»
Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0/ Upstream-Name: BiocGenerics Source: http://www.bioconductor.org/packages/release/bioc/src/contrib/BiocGenerics_0.2.0.tar.gz Files: * Copyright: 2010-2012 The Bioconductor Dev Team License: Artistic-2.0 Preamble . This license establishes the terms under which a given free software Package may be copied, modified, distri more»