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Package: r-bioc-bitseq (1.30.0+dfsg-1build1)

transcript expression inference and analysis for RNA-seq data

The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNA-seq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNA-seq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, Log-Normal model of the estimates is used for inferring the condition mean transcript expression and ranking the transcripts based on the likelihood of differential expression.

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libcurl4 (>= 7.18.0)
    easy-to-use client-side URL transfer library (OpenSSL flavour)
  • dep: libgcc-s1 (>= 3.0) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libgomp1 (>= 6)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-3.5
    virtual package provided by r-base-core
  • dep: r-api-bioc-3.10
    virtual package provided by r-bioc-biocgenerics
  • dep: r-base-core (>= 3.6.2.20200221-1build1)
    GNU R core of statistical computation and graphics system
  • dep: r-bioc-iranges
    GNU R low-level containers for storing sets of integer ranges
  • dep: r-bioc-rhtslib (>= 1.15.5)
    HTSlib high-throughput sequencing library as GNU R package
  • dep: r-bioc-rsamtools (>= 1.99.3)
    GNU R binary alignment (BAM), variant call (BCF), or tabix file import
  • dep: r-bioc-s4vectors
    BioConductor S4 implementation of vectors and lists

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Architecture Package Size Installed Size Files
amd64 1,115.2 kB5986 kB [list of files]
armhf 1,062.1 kB5604 kB [list of files]