Beifang Niu

TL;DR: A new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets to reduce sequence redundancy and improve the performance of other sequence analyses is developed.

TL;DR: A comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project is described and a molecular classification dividing gastric cancer into four subtypes is proposed.

TL;DR: Data and analytical results for point mutations and small insertions/deletions from 3,281 tumours across 12 tumour types are presented as part of the TCGA Pan-Cancer effort, and clinical association analysis identifies genes having a significant effect on survival.

TL;DR: A new web server, CD-HIT Suite, is developed for clustering a user-uploaded sequence dataset or comparing it to another dataset at different identity levels and users can now interactively explore the clusters within web browsers.

TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.