Title |
HiGlass: web-based visual exploration and analysis of genome interaction maps
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Published in |
Genome Biology, August 2018
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DOI | 10.1186/s13059-018-1486-1 |
Pubmed ID | |
Authors |
Peter Kerpedjiev, Nezar Abdennur, Fritz Lekschas, Chuck McCallum, Kasper Dinkla, Hendrik Strobelt, Jacob M. Luber, Scott B. Ouellette, Alaleh Azhir, Nikhil Kumar, Jeewon Hwang, Soohyun Lee, Burak H. Alver, Hanspeter Pfister, Leonid A. Mirny, Peter J. Park, Nils Gehlenborg |
Abstract |
We present HiGlass, an open source visualization tool built on web technologies that provides a rich interface for rapid, multiplex, and multiscale navigation of 2D genomic maps alongside 1D genomic tracks, allowing users to combine various data types, synchronize multiple visualization modalities, and share fully customizable views with others. We demonstrate its utility in exploring different experimental conditions, comparing the results of analyses, and creating interactive snapshots to share with collaborators and the broader public. HiGlass is accessible online at http://higlass.io and is also available as a containerized application that can be run on any platform. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 64 | 36% |
United Kingdom | 15 | 9% |
Germany | 10 | 6% |
Australia | 6 | 3% |
Spain | 5 | 3% |
Canada | 3 | 2% |
Austria | 3 | 2% |
France | 3 | 2% |
Switzerland | 3 | 2% |
Other | 16 | 9% |
Unknown | 48 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 93 | 53% |
Members of the public | 79 | 45% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
United States | 1 | <1% |
Lithuania | 1 | <1% |
Unknown | 258 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 23% |
Researcher | 50 | 19% |
Student > Master | 27 | 10% |
Student > Bachelor | 24 | 9% |
Professor | 16 | 6% |
Other | 30 | 11% |
Unknown | 53 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 102 | 39% |
Agricultural and Biological Sciences | 46 | 18% |
Computer Science | 15 | 6% |
Medicine and Dentistry | 9 | 3% |
Mathematics | 5 | 2% |
Other | 18 | 7% |
Unknown | 66 | 25% |