Ontology highlight
ABSTRACT:
SUBMITTER: Rolland T
PROVIDER: S-EPMC4266588 | biostudies-literature | 2014 Nov
REPOSITORIES: biostudies-literature
Rolland Thomas T Taşan Murat M Charloteaux Benoit B Pevzner Samuel J SJ Zhong Quan Q Sahni Nidhi N Yi Song S Lemmens Irma I Fontanillo Celia C Mosca Roberto R Kamburov Atanas A Ghiassian Susan D SD Yang Xinping X Ghamsari Lila L Balcha Dawit D Begg Bridget E BE Braun Pascal P Brehme Marc M Broly Martin P MP Carvunis Anne-Ruxandra AR Convery-Zupan Dan D Corominas Roser R Coulombe-Huntington Jasmin J Dann Elizabeth E Dreze Matija M Dricot Amélie A Fan Changyu C Franzosa Eric E Gebreab Fana F Gutierrez Bryan J BJ Hardy Madeleine F MF Jin Mike M Kang Shuli S Kiros Ruth R Lin Guan Ning GN Luck Katja K MacWilliams Andrew A Menche Jörg J Murray Ryan R RR Palagi Alexandre A Poulin Matthew M MM Rambout Xavier X Rasla John J Reichert Patrick P Romero Viviana V Ruyssinck Elien E Sahalie Julie M JM Scholz Annemarie A Shah Akash A AA Sharma Amitabh A Shen Yun Y Spirohn Kerstin K Tam Stanley S Tejeda Alexander O AO Wanamaker Shelly A SA Twizere Jean-Claude JC Vega Kerwin K Walsh Jennifer J Cusick Michael E ME Xia Yu Y Barabási Albert-László AL Iakoucheva Lilia M LM Aloy Patrick P De Las Rivas Javier J Tavernier Jan J Calderwood Michael A MA Hill David E DE Hao Tong T Roth Frederick P FP Vidal Marc M
Cell 20141101 5
Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand genotype-phenotype relationships. Here, we describe a systematic map of ?14,000 high-quality human binary protein-protein interactions. At equal quality, this map is ?30% larger than what is available from small-scale studies published in the literature in the last few decades. While currently available information is highly biased and only covers a relati ...[more]