Hervé Pagès

TL;DR: This work describes Bioconductor infrastructure for representing and computing on annotated genomic ranges and integrating genomic data with the statistical computing features of R and its extensions, including those for sequence analysis, differential expression analysis and visualization.

TL;DR: An overview of Bioconductor, an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology, which comprises 934 interoperable packages contributed by a large, diverse community of scientists.

TL;DR: ChIPpeakAnno enables batch annotation of the binding sites identified from ChIP-seq, Chip-chip, CAGE or any technology that results in a large number of enriched genomic regions within the statistical programming environment R.

TL;DR: ShortRead is a package for input, quality assessment, manipulation and output of high-throughput sequencing data, provided in the R and Bioconductor environments, allowing ready access to additional facilities for advanced statistical analysis, data transformation, visualization and integration with diverse genomic resources.

TL;DR: This Perspective highlights open-source software for single-cell analysis released as part of the Bioconductor project, providing an overview for users and developers.