loading page

Variant Interpretation: UCSC Genome Browser Recommended Track Sets
  • +12
  • Anna Benet-Pagès,
  • Kate Rosenbloom,
  • Luis Nassar,
  • Christopher Lee,
  • Brian Raney,
  • Hiram Clawson,
  • Daniel Schmelter,
  • Jonathan Casper,
  • Jairo Navarro Gonzalez,
  • Gerardo Perez,
  • Brian Lee,
  • Ann Zweig,
  • W James Kent,
  • Maximillian Haeussler,
  • Robert Kuhn
Anna Benet-Pagès
University of California Santa Cruz

Corresponding Author:[email protected]

Author Profile
Kate Rosenbloom
University of California Santa Cruz
Author Profile
Luis Nassar
University of California Santa Cruz
Author Profile
Christopher Lee
University of California Santa Cruz
Author Profile
Brian Raney
University of California Santa Cruz
Author Profile
Hiram Clawson
University of California Santa Cruz
Author Profile
Daniel Schmelter
University of California Santa Cruz
Author Profile
Jonathan Casper
University of California Santa Cruz
Author Profile
Jairo Navarro Gonzalez
University of California Santa Cruz
Author Profile
Gerardo Perez
University of California Santa Cruz
Author Profile
Brian Lee
University of California Santa Cruz
Author Profile
Ann Zweig
University of California Santa Cruz
Author Profile
W James Kent
University of California Santa Cruz
Author Profile
Maximillian Haeussler
University of California Santa Cruz
Author Profile
Robert Kuhn
University of California Santa Cruz
Author Profile

Abstract

The UCSC Genome Browser has been an important tool for genomics and clinical genetics since the sequence of the human genome was first released in 2000. As it has grown in scope to display more types of data it has also grown more complicated. The data, which are dispersed at many locations worldwide, are collected into one view on the Browser, where the graphical interface presents the data in one location. This supports the expertise of the researcher to interpret variants in the genome. Because the analysis of Single Nucleotide Variants (SNVs) and Copy Number Variants (CNVs) require interpretation of data at very different genomic scales, different data resources are required. We present here several Recommended Track Sets designed to facilitate the interpretation of variants in the clinic, offering quick access to datasets relevant to the appropriate scale.
22 May 2021Submitted to Human Mutation
24 May 2021Submission Checks Completed
24 May 2021Assigned to Editor
05 Jul 2021Reviewer(s) Assigned
20 Jul 2021Review(s) Completed, Editorial Evaluation Pending
07 Aug 2021Editorial Decision: Revise Minor
16 Nov 20211st Revision Received
01 Dec 2021Submission Checks Completed
01 Dec 2021Assigned to Editor
17 Dec 2021Reviewer(s) Assigned
11 Jan 2022Review(s) Completed, Editorial Evaluation Pending
25 Jan 2022Editorial Decision: Accept
Aug 2022Published in Human Mutation volume 43 issue 8 on pages 998-1011. 10.1002/humu.24335