graph

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

• 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
• Rhtslib HTSlib high-throughput sequencing library as an R package
• 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
• preprocessCore A collection of pre-processing functions