GOseq is a method for Gene Ontology analysis of RNA-seq data that takes into account the length bias inherent in RNA-seq.

Huge advances in the field of genomics along with the continued rise of open access has made the past ten years an exciting time to be a biologist.

The use of low coverage genomes in comparative evolutionary analyses to determine gene gain and loss events skews genome estimates.

A genome-wide study of X chromosome genetic diversity in human populations shows the impact of social organization and local adaptation.

Genomic data together with sequencing of tissue specific small RNA libraries reveals insights into the genome content, small RNA repertoire and evolutionary origins of the grass Miscanthus x giganteus.

Mapping global protein binding in the E. coli genome reveals extended domains of high protein occupancy.

An analysis of X-linked genetic variation in human populations provides insights into population structure and demographic patterns.