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[ 源代码: r-bioc-bitseq  ]

软件包: r-bioc-bitseq (1.38.0+dfsg-1)

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.

其他与 r-bioc-bitseq 有关的软件包

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  • dep: libc6 (>= 2.34)
    GNU C Library: Shared libraries
    同时作为一个虚包由这些包填实: libc6-udeb
  • dep: libcurl4 (>= 7.18.0)
    easy-to-use client-side URL transfer library (OpenSSL flavour)
  • dep: libgcc-s1 (>= 3.0)
    GCC support library
  • dep: libgomp1 (>= 6)
    GCC OpenMP (GOMP) support library
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    本虚包由这些包填实: r-base-core
  • dep: r-api-bioc-3.14
    本虚包由这些包填实: r-bioc-biocgenerics
  • dep: r-base-core (>= 4.1.2-1ubuntu1)
    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
  • sug: r-bioc-biocstyle
    standard styles for vignettes and other Bioconductor documents

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amd64 1,162.1 kB5975 kB [文件列表]