Anton J. Enright

TL;DR: The miRBase database aims to provide integrated interfaces to comprehensive microRNA sequence data, annotation and predicted gene targets, and acts as an independent arbiter of microRNA gene nomenclature.

TL;DR: The overlap of miRNA sequences with annotated transcripts, both protein- and non-coding, are described and graphical views of the locations of a wide range of genomic features in model organisms allow for the first time the prediction of the likely boundaries of many miRNA primary transcripts.

TL;DR: This work has predicted target sites on the 3′ untranslated regions of human gene transcripts for all currently known 218 mammalian miRNAs to facilitate focused experiments and suggests that miRNA genes, which are about 1% of all human genes, regulate protein production for 10% or more of allhuman genes.

TL;DR: A high-quality sequence assembly of the zebrafish genome is generated, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map, providing a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebra fish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.

TL;DR: This work presents a novel approach called TRIBE-MCL for rapid and accurate clustering of protein sequences into families based on precomputed sequence similarity information that has been rigorously tested and validated on a number of very large databases.