Nature Communications (Jul 2020)

An integrative ENCODE resource for cancer genomics

  • Jing Zhang,
  • Donghoon Lee,
  • Vineet Dhiman,
  • Peng Jiang,
  • Jie Xu,
  • Patrick McGillivray,
  • Hongbo Yang,
  • Jason Liu,
  • William Meyerson,
  • Declan Clarke,
  • Mengting Gu,
  • Shantao Li,
  • Shaoke Lou,
  • Jinrui Xu,
  • Lucas Lochovsky,
  • Matthew Ung,
  • Lijia Ma,
  • Shan Yu,
  • Qin Cao,
  • Arif Harmanci,
  • Koon-Kiu Yan,
  • Anurag Sethi,
  • Gamze Gürsoy,
  • Michael Rutenberg Schoenberg,
  • Joel Rozowsky,
  • Jonathan Warrell,
  • Prashant Emani,
  • Yucheng T. Yang,
  • Timur Galeev,
  • Xiangmeng Kong,
  • Shuang Liu,
  • Xiaotong Li,
  • Jayanth Krishnan,
  • Yanlin Feng,
  • Juan Carlos Rivera-Mulia,
  • Jessica Adrian,
  • James R Broach,
  • Michael Bolt,
  • Jennifer Moran,
  • Dominic Fitzgerald,
  • Vishnu Dileep,
  • Tingting Liu,
  • Shenglin Mei,
  • Takayo Sasaki,
  • Claudia Trevilla-Garcia,
  • Su Wang,
  • Yanli Wang,
  • Chongzhi Zang,
  • Daifeng Wang,
  • Robert J. Klein,
  • Michael Snyder,
  • David M. Gilbert,
  • Kevin Yip,
  • Chao Cheng,
  • Feng Yue,
  • X. Shirley Liu,
  • Kevin P. White,
  • Mark Gerstein

DOI
https://doi.org/10.1038/s41467-020-14743-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

Read online

ENCODE is a resource comprising thousands of functional genomic datasets. Here, the authors present custom annotation within ENCODE for cancer, highlighting a workflow that can help prioritise key elements in oncogenesis.