Quantitative Biology and Statistics
| biomaRt | A bridge from R to BioMart databases – for instance Ensembl |
| cellHTS2 | Analysis of cell-based high-throughput screens |
| DESeq | Testing for differential expression in RNA-Seq and other count data |
| DEXSeq | Inference of differential exon usage in RNA-Seq |
| EBImage | Image processing and analysis toolkit for R |
| genomeIntervals | Operations on genomic intervals such as merging, overlap detection, or computing distances between intervals |
| HilbertVis | Visualize long vectors of data by means of Hilbert curves |
| imageHTS | Analysis of high-throughput microscopy-based screens |
| rhdf5 | HDF5 interface to R |
| Ringo | Analysis of ChIP-chip data |
| tilingArray | Transcript mapping with high-density oligonucleotide tiling arrays |
| vsn | Normalization and variance stabilizing transformation of microarray data. |
| HTSeq | A Python package for processing and analysing data from high-throughput sequencing assays |
| HilbertVis | Visualization of genomic data with the Hilbert curv |