Rhtslib

Extra Credit builds an outline of Rhtslib's docs the first time your work uses it. Until then, start at the official documentation.

• annotate Annotation for microarrays
• flowCore flowCore: Basic structures for flow cytometry data
• DESeq2 Differential gene expression analysis based on the negative binomial distribution
• edgeR Empirical Analysis of Digital Gene Expression Data in R
• GenomicFeatures Query the gene models of a given organism/assembly
• genefilter genefilter: methods for filtering genes from high-throughput experiments
• graph graph: A package to handle graph data structures
• rhdf5 R Interface to HDF5
• BiocFileCache Manage Files Across Sessions
• S4Arrays Foundation of array-like containers in Bioconductor
• SparseArray High-performance sparse data representation and manipulation in R
• Rhdf5lib hdf5 library as an R package