套件：r-bioc-bitseq（1.34.0+dfsg-1）

[ 原始碼： r-bioc-bitseq  ]

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.

其他與 r-bioc-bitseq 有關的套件

• dep: libc6 (>= 2.29)

  GNU C 函式庫：共用函式庫
  同時作為一個虛擬套件由這些套件填實： libc6-udeb

• dep: libcurl4 (>= 7.18.0)

  easy-to-use client-side URL transfer library (OpenSSL flavour)

• dep: libgcc-s1 (>= 3.0) [amd64, s390x]

  GCC 支援函式庫

  dep: libgcc-s1 (>= 3.4.4) [ppc64el]

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

  dep: libgcc-s1 (>= 4.2) [arm64, i386, mips64el, mipsel]

• dep: libgomp1 (>= 6)

  GCC OpenMP (GOMP) support library

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-api-bioc-3.12

  本虛擬套件由這些套件填實： r-bioc-biocgenerics

• dep: r-base-core (>= 4.0.3-1)

  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

• sug: r-bioc-deseq

  GNU R differential gene expression analysis

• sug: r-bioc-edger

  Empirical analysis of digital gene expression data in R

下載 r-bioc-bitseq

下載可用於所有硬體架構的

硬體架構	套件大小	安裝後大小	檔案
amd64	1，104。1 kB	5，998。0 kB	[檔案列表]
arm64	1，062。4 kB	5，890。0 kB	[檔案列表]
armel	1，041。0 kB	5，838。0 kB	[檔案列表]
armhf	1，047。6 kB	5，594。0 kB	[檔案列表]
i386	1，135。7 kB	6，077。0 kB	[檔案列表]
mips64el	1，066。9 kB	6，107。0 kB	[檔案列表]
mipsel	1，070。9 kB	6，055。0 kB	[檔案列表]
ppc64el	1，132。8 kB	6，254。0 kB	[檔案列表]
s390x	1，065。5 kB	6，029。0 kB	[檔案列表]