Pakket: r-bioc-grohmm (1.40.3-2)
Verwijzigingen voor r-bioc-grohmm
Debian bronnen:
Het bronpakket r-bioc-grohmm downloaden:
- [r-bioc-grohmm_1.40.3-2.dsc]
- [r-bioc-grohmm_1.40.3.orig.tar.gz]
- [r-bioc-grohmm_1.40.3-2.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
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- dep: r-bioc-rtracklayer (>= 1.39.7)
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- dep: r-bioc-s4vectors (>= 0.17.25)
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- dep: r-cran-mass
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- sug: r-bioc-biocstyle
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- sug: r-bioc-org.hs.eg.db
- genome-wide annotation for Human
r-bioc-grohmm downloaden
Platform | Pakketgrootte | Geïnstalleerde grootte | Bestanden |
---|---|---|---|
amd64 | 4.350,3 kB | 4.521,0 kB | [overzicht] |
arm64 | 4.348,4 kB | 4.529,0 kB | [overzicht] |
mips64el | 4.348,4 kB | 4.532,0 kB | [overzicht] |
ppc64el | 4.353,9 kB | 4.529,0 kB | [overzicht] |
riscv64 | 4.349,9 kB | 4.505,0 kB | [overzicht] |
s390x | 4.351,5 kB | 4.521,0 kB | [overzicht] |