Genome-wide transcriptome studies such as FANTOM and ENCODE have shown that mammalian genomes are pervasively transcribed, generating a wide variety of transcript isoforms, many of which do not code for proteins. Though in most cases the specific biological function of such non-coding RNAs is unknown, their cell-type specific expression patterns suggest that they play essential roles in establishing cell type identity. The Genomics Algorithms Development Unit develops and applies bioinformatics methods to analyze genome-wide data generated using next-generation sequencers for the purpose of categorizing and functionally understanding RNA molecules, their role in biological ne

RIKEN IMS Division of Genomic Medicine