Pakket: r-bioc-grohmm (1.38.0-1)
Verwijzigingen voor r-bioc-grohmm
Debian bronnen:
Het bronpakket r-bioc-grohmm downloaden:
- [r-bioc-grohmm_1.38.0-1.dsc]
- [r-bioc-grohmm_1.38.0.orig.tar.gz]
- [r-bioc-grohmm_1.38.0-1.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [bioconductor.org]
Vergelijkbare pakketten:
GRO-seq Analysis Pipeline
This BioConductor package provides a pipeline for the analysis of GRO- seq data. Among the more advanced features, r-bioc-grohmm predicts the boundaries of transcriptional activity across the genome de novo using a two-state hidden Markov model (HMM).
The used model essentially divides the genome into transcribed and non- transcribed regions in a strand specific manner. HMMs are used to identify the leading edge of Pol II at genes activated by a stimulus in GRO-seq time course data. This approach allows the genome-wide interrogation of transcription rates in cells.
Andere aan r-bioc-grohmm gerelateerde pakketten
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- dep: libc6 (>= 2.17) [arm64, ppc64el]
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.4) [amd64, mips64el, s390x]
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- dep: r-api-4.0
- virtueel pakket geboden door r-base-core
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- dep: r-api-bioc-3.19
- virtueel pakket geboden door r-bioc-biocgenerics
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- dep: r-bioc-genomeinfodb (>= 1.40.1)
- BioConductor utilities for manipulating chromosome identifiers
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- dep: r-bioc-genomicalignments (>= 1.40.0)
- BioConductor representation and manipulation of short genomic alignments
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- dep: r-bioc-genomicranges (>= 1.56.1)
- BioConductor representation and manipulation of genomic intervals
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- dep: r-bioc-iranges (>= 2.38.1)
- GNU R low-level containers for storing sets of integer ranges
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- dep: r-bioc-rtracklayer (>= 1.64.0)
- GNU R interface to genome browsers and their annotation tracks
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- dep: r-bioc-s4vectors (>= 0.42.1)
- BioConductor S4 implementation of vectors and lists
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- sug: r-bioc-biocstyle (>= 2.32.1)
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-edger (>= 4.2.1)
- Empirical analysis of digital gene expression data in R
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- sug: r-bioc-genomicfeatures (>= 1.56.0)
- GNU R tools for making and manipulating transcript centric annotations
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- sug: r-bioc-org.hs.eg.db (>= 3.19.1)
- genome-wide annotation for Human
r-bioc-grohmm downloaden
Platform | Pakketgrootte | Geïnstalleerde grootte | Bestanden |
---|---|---|---|
amd64 | 4.344,9 kB | 4.515,0 kB | [overzicht] |
arm64 | 4.342,8 kB | 4.523,0 kB | [overzicht] |
mips64el | 4.342,9 kB | 4.526,0 kB | [overzicht] |
ppc64el | 4.348,2 kB | 4.523,0 kB | [overzicht] |
riscv64 | 4.344,5 kB | 4.499,0 kB | [overzicht] |
s390x | 4.346,0 kB | 4.515,0 kB | [overzicht] |