ENCODE Data in the UCSC Genome Browser: year 5 update

Kate R. Rosenbloom(University of California, Santa Cruz), Cricket A. Sloan(University of California, Santa Cruz), Venkat S. Malladi(University of California, Santa Cruz), Timothy R. Dreszer(University of California, Santa Cruz), Katrina Learned(University of California, Santa Cruz), Vanessa M. Kirkup(University of California, Santa Cruz), Matthew C. Wong(University of California, Santa Cruz), Morgan Maddren(University of California, Santa Cruz), Ruihua Fang(University of California, Santa Cruz), Steven G. Heitner(University of California, Santa Cruz), Brian T. Lee(University of California, Santa Cruz), Galt P Barber(University of California, Santa Cruz), Rachel Harte(University of California, Santa Cruz), Mark Diekhans(University of California, Santa Cruz), Jeffrey C. Long(University of California, Santa Cruz), Steven P. Wilder(European Bioinformatics Institute), Ann S. Zweig(University of California, Santa Cruz), Donna Karolchik(University of California, Santa Cruz), Robert M. Kuhn(University of California, Santa Cruz), David Haussler(Howard Hughes Medical Institute), W. James Kent(University of California, Santa Cruz)
Nucleic Acids Research
November 26, 2012
Cited by 806Open Access
Full Text

Abstract

The Encyclopedia of DNA Elements (ENCODE), http://encodeproject.org, has completed its fifth year of scientific collaboration to create a comprehensive catalog of functional elements in the human genome, and its third year of investigations in the mouse genome. Since the last report in this journal, the ENCODE human data repertoire has grown by 898 new experiments (totaling 2886), accompanied by a major integrative analysis. In the mouse genome, results from 404 new experiments became available this year, increasing the total to 583, collected during the course of the project. The University of California, Santa Cruz, makes this data available on the public Genome Browser http://genome.ucsc.edu for visual browsing and data mining. Download of raw and processed data files are all supported. The ENCODE portal provides specialized tools and information about the ENCODE data sets.


Related Papers

No related papers found

Powered by citation graph analysis