cbcbSEQ: hpgltools: a suite of tools to make our analyses easier
In kokrah/cbcbSEQ: RNAseq analysis pipeline for UMD CBCB collaborators with batch effect assessment and correction
Description
This provides a series of helpers for working with sequencing data
Details
It falls under a few main topics
Data exploration, look for trends in sequencing data and identify batch effects or skewed distributions
Differential expression analyses, use DESeq2/limma/EdgeR in a hopefully robust and flexible fashion
Ontology analyses, use goseq/clusterProfiler/topGO/GOStats in hopefully robust ways
To see examples of this inaction, check out the vignettes:
browseVignettes(package = 'hpgltools')
kokrah/cbcbSEQ documentation built on May 20, 2019, 12:54 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This provides a series of helpers for working with sequencing data
Details
It falls under a few main topics
Data exploration, look for trends in sequencing data and identify batch effects or skewed distributions
Differential expression analyses, use DESeq2/limma/EdgeR in a hopefully robust and flexible fashion
Ontology analyses, use goseq/clusterProfiler/topGO/GOStats in hopefully robust ways
To see examples of this inaction, check out the vignettes:
browseVignettes(package = 'hpgltools')
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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