scholarly journals The UCSC Genome Browser database: 2016 update

2015 ◽  
Author(s):  
Matthew L. Speir ◽  
Ann S. Zweig ◽  
Kate R. Rosenbloom ◽  
Brian J. Raney ◽  
Benedict Paten ◽  
...  

ABSTRACTFor the past 15 years, the UCSC Genome Browser (http://genome.ucsc.edu/) has served the international research community by offering an integrated platform for viewing and analyzing information from a large database of genome assemblies and their associated annotations. The UCSC Genome Browser has been under continuous development since its inception with new data sets and software features added frequently. Some release highlights of this year include new and updated genome browsers for various assemblies, including bonobo and zebrafish; new gene annotation sets; improvements to track and assembly hub support; and a new interactive tool, the “Data Integrator”, for intersecting data from multiple tracks. We have greatly expanded the data sets available on the most recent human assembly, hg38/GRCh38, to include updated gene prediction sets from GENCODE, more phenotype- and disease-associated variants from ClinVar and ClinGen, more genomic regulatory data, and a new multiple genome alignment.

2017 ◽  
Vol 46 (D1) ◽  
pp. D762-D769 ◽  
Author(s):  
Jonathan Casper ◽  
Ann S Zweig ◽  
Chris Villarreal ◽  
Cath Tyner ◽  
Matthew L Speir ◽  
...  

Abstract The UCSC Genome Browser (https://genome.ucsc.edu) provides a web interface for exploring annotated genome assemblies. The assemblies and annotation tracks are updated on an ongoing basis—12 assemblies and more than 28 tracks were added in the past year. Two recent additions are a display of CRISPR/Cas9 guide sequences and an interactive navigator for gene interactions. Other upgrades from the past year include a command-line version of the Variant Annotation Integrator, support for Human Genome Variation Society variant nomenclature input and output, and a revised highlighting tool that now supports multiple simultaneous regions and colors.


2013 ◽  
Vol 29 (23) ◽  
pp. 3003-3006 ◽  
Author(s):  
Brent S. Pedersen ◽  
Ivana V. Yang ◽  
Subhajyoti De

2014 ◽  
Vol 43 (D1) ◽  
pp. D670-D681 ◽  
Author(s):  
Kate R. Rosenbloom ◽  
Joel Armstrong ◽  
Galt P. Barber ◽  
Jonathan Casper ◽  
Hiram Clawson ◽  
...  

2009 ◽  
Vol 37 (Database) ◽  
pp. D755-D761 ◽  
Author(s):  
R. M. Kuhn ◽  
D. Karolchik ◽  
A. S. Zweig ◽  
T. Wang ◽  
K. E. Smith ◽  
...  

2015 ◽  
Vol 44 (D1) ◽  
pp. D717-D725 ◽  
Author(s):  
Matthew L. Speir ◽  
Ann S. Zweig ◽  
Kate R. Rosenbloom ◽  
Brian J. Raney ◽  
Benedict Paten ◽  
...  

2011 ◽  
Vol 40 (D1) ◽  
pp. D918-D923 ◽  
Author(s):  
T. R. Dreszer ◽  
D. Karolchik ◽  
A. S. Zweig ◽  
A. S. Hinrichs ◽  
B. J. Raney ◽  
...  

2012 ◽  
Vol 41 (D1) ◽  
pp. D64-D69 ◽  
Author(s):  
Laurence R. Meyer ◽  
Ann S. Zweig ◽  
Angie S. Hinrichs ◽  
Donna Karolchik ◽  
Robert M. Kuhn ◽  
...  

2009 ◽  
Vol 38 (Database) ◽  
pp. D613-D619 ◽  
Author(s):  
B. Rhead ◽  
D. Karolchik ◽  
R. M. Kuhn ◽  
A. S. Hinrichs ◽  
A. S. Zweig ◽  
...  

F1000Research ◽  
2016 ◽  
Vol 3 ◽  
pp. 53
Author(s):  
Anil S. Thanki ◽  
Rafael C. Jimenez ◽  
Gemy G. Kaithakottil ◽  
Manuel Corpas ◽  
Robert P. Davey

Summary: wigExplorer is a BioJS component whose main purpose is to provide a platform for visualisation of wig-formatted data. Wig files are extensively used by genome browsers such as the UCSC Genome Browser. wigExplorer follows the BioJS standard specification, requiring a simple configuration and installation. wigExplorer provides an easy way to navigate the visible region of the canvas and allows interaction with other components via predefined events. Availability: http://biojs.io/d/biojs-vis-wigexplorer;http://dx.doi.org/10.5281/zenodo.8516


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