R
Richard Durbin
Researcher at University of Cambridge
Publications - 337
Citations - 247542
Richard Durbin is an academic researcher from University of Cambridge. The author has contributed to research in topics: Genome & Population. The author has an hindex of 125, co-authored 319 publications receiving 207192 citations. Previous affiliations of Richard Durbin include Wellcome Trust Sanger Institute & University of Manchester.
Papers
More filters
Journal ArticleDOI
Using reference-free compressed data structures to analyze sequencing reads from thousands of human genomes.
Dirk-Dominic Dolle,Zhicheng Liu,Zhicheng Liu,Matthew Cotten,Jared T. Simpson,Zamin Iqbal,Richard Durbin,Shane A. McCarthy,Thomas M. Keane,Thomas M. Keane +9 more
TL;DR: The concept of a population BWT is introduced and used to store and index the sequencing reads of 2705 samples from the 1000 Genomes Project and it is shown that the vast majority of variant alleles can be uniquely described by overlapping 31-mers.
Journal ArticleDOI
A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.).
Tomas N Generalovic,Shane A. McCarthy,Shane A. McCarthy,Ian A. Warren,Jonathan Wood,James Torrance,Ying Sims,Michael A. Quail,Kerstin Howe,Miha Pipan,Richard Durbin,Richard Durbin,Chris D. Jiggins +12 more
TL;DR: In this article, a high-quality chromosome-scale genome assembly of the Black Soldier fly (BSF) using Pacific Bioscience, 10X Genomics linked read and high-throughput chromosome conformation capture sequencing technology is presented.
Journal ArticleDOI
Enhanced protein domain discovery using taxonomy.
TL;DR: By incorporating the understanding of the taxonomic distribution of specific protein domains, the method can enhance domain recognition in protein sequences and incorporate other context-specific domain distributions – such as domain co-occurrence and protein localisation.
Journal ArticleDOI
Gene expression and development databases forC. elegans
TL;DR: An accessory program ‘Angler’ can be used to browse sectional Nomarski images of the worm embryo during early development, and to relate these images to overlaid cell lineage data and 3-D schematic views of cell positions.