Пакет-източник: r-bioc-dexseq (1.50.0+dfsg-1)
Връзки за r-bioc-dexseq
Ресурси за Debian:
Отговорници:
Външни препратки:
Следните двоични пакети са компилирани от този пакет-източник:
- r-bioc-dexseq
- GNU R inference of differential exon usage in RNA-Seq
Други пакети, свързани с r-bioc-dexseq
- зависимости при компилиране
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- зависимости при компилиране (архитектурно-независими)
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- adep:
debhelper-compat
(= 13)
- Пакетът не е наличен
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- adep:
dh-r
- Debian helper tools for packaging R libraries
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- adep:
r-base-dev
- GNU R installation of auxiliary GNU R packages
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- adep:
r-bioc-biocparallel
(>= 1.38.0)
- BioConductor facilities for parallel evaluation
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- adep:
r-bioc-biobase
(>= 2.64.0)
- base functions for Bioconductor
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- adep:
r-bioc-summarizedexperiment
(>= 1.34.0)
- BioConductor assay container
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- adep:
r-bioc-iranges
(>= 2.38.1)
- GNU R low-level containers for storing sets of integer ranges
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- adep:
r-bioc-genomicranges
(>= 1.56.1)
- BioConductor representation and manipulation of genomic intervals
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- adep:
r-bioc-deseq2
(>= 1.44.0)
- R package for RNA-Seq Differential Expression Analysis
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- adep:
r-bioc-annotationdbi
(>= 1.66.0)
- GNU R Annotation Database Interface for BioConductor
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- adep:
r-cran-rcolorbrewer
- GNU R package providing suitable color palettes
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- adep:
r-bioc-s4vectors
(>= 0.42.1)
- BioConductor S4 implementation of vectors and lists
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- adep:
r-bioc-biocgenerics
(>= 0.50.0)
- generic functions for Bioconductor
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- adep:
r-bioc-biomart
(>= 2.60.1)
- GNU R Interface to BioMart databases (Ensembl, COSMIC, Wormbase and Gramene)
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- adep:
r-cran-hwriter
- HTML Writer - Outputs R objects in HTML format
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- adep:
r-cran-stringr
- Make it easier to work with strings
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- adep:
r-bioc-rsamtools
(>= 2.20.0)
- GNU R binary alignment (BAM), variant call (BCF), or tabix file import
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- adep:
r-cran-statmod
- GNU R package providing algorithms and functions for statistical modeling
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- adep:
r-bioc-geneplotter
(>= 1.82.0)
- R package of functions for plotting genomic data
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- adep:
r-bioc-genefilter
(>= 1.86.0)
- methods for filtering genes from microarray experiments
