Bioconductor is an open-source, open-development software project for the analysis and
comprehension of high-throughput data in genomics and molecular biology. The project aims …

Epidemiological studies have found an inverse association between coffee consumption and
the risk of certain types of cancers such as colorectal cancers. Animal data support such a …

Recent technological advancements have enabled the profiling of a large number of genome-wide
features in individual cells. However, single-cell data present unique challenges that …

We introduce a statistical model for microarray gene expression data that comprises data
calibration, the quantification of differential expression, and the quantification of measurement …

… Availability: A free open-source R/Biondonductor software package, called "DESeq", is
available from "http://www-huber.embl.de/users/anders/DESeq":http://www-huber.embl.de/users/…

… Availability and implementation: HTSeq is released as an open-source software under the
GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the …

In comparative high-throughput sequencing assays, a fundamental task is the analysis of
count data, such as read counts per gene in RNA-seq, for evidence of systematic changes …

The Bioconductor project is an initiative for the collaborative creation of extensible software
for computational biology and bioinformatics. The goals of the project include: fostering …

We describe Bioconductor infrastructure for representing and computing on annotated genomic
ranges and integrating genomic data with the statistical computing features of R and its …

Bioconductor is a widely used open source and open development software project for the
analysis and comprehension of data arising from high-throughput experimentation in …