Title |
The UCSC Genome Browser database: 2017 update
|
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Published in |
Nucleic Acids Research, January 2016
|
DOI | 10.1093/nar/gkw1134 |
Pubmed ID | |
Authors |
Cath Tyner, Galt P. Barber, Jonathan Casper, Hiram Clawson, Mark Diekhans, Christopher Eisenhart, Clayton M. Fischer, David Gibson, Jairo Navarro Gonzalez, Luvina Guruvadoo, Maximilian Haeussler, Steve Heitner, Angie S. Hinrichs, Donna Karolchik, Brian T. Lee, Christopher M. Lee, Parisa Nejad, Brian J. Raney, Kate R. Rosenbloom, Matthew L. Speir, Chris Villarreal, John Vivian, Ann S. Zweig, David Haussler, Robert M. Kuhn, W. James Kent |
Abstract |
Since its 2001 debut, the University of California, Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu/) team has provided continuous support to the international genomics and biomedical communities through a web-based, open source platform designed for the fast, scalable display of sequence alignments and annotations landscaped against a vast collection of quality reference genome assemblies. The browser's publicly accessible databases are the backbone of a rich, integrated bioinformatics tool suite that includes a graphical interface for data queries and downloads, alignment programs, command-line utilities and more. This year's highlights include newly designed home and gateway pages; a new 'multi-region' track display configuration for exon-only, gene-only and custom regions visualization; new genome browsers for three species (brown kiwi, crab-eating macaque and Malayan flying lemur); eight updated genome assemblies; extended support for new data types such as CRAM, RNA-seq expression data and long-range chromatin interaction pairs; and the unveiling of a new supported mirror site in Japan. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 50% |
Spain | 1 | 8% |
France | 1 | 8% |
Australia | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 5 | 42% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 10% |
Unknown | 19 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 24% |
Student > Ph. D. Student | 4 | 19% |
Student > Bachelor | 2 | 10% |
Other | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Other | 2 | 10% |
Unknown | 4 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 38% |
Biochemistry, Genetics and Molecular Biology | 5 | 24% |
Neuroscience | 2 | 10% |
Design | 1 | 5% |
Unknown | 5 | 24% |