Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Galt P. Barber

dblp:92/2946 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genome visualization
genome browser visualization
0.322014
Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser · Bioinform. 2014
BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010
Bioinformatics and computational biology
genome annotation
0.212014
Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser · Bioinform. 2014
Bioinformatics and computational biology
genomics
0.112010
BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010
Bioinformatics and computational biology › sequence analysis › sequence visualization
high-throughput sequencing data visualization
0.112010
BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010
Storage systems
file systems
0.012010
BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010

Methods — techniques the papers use, named apart from their topics

r-tree · 0.2indexing · 0.2compression · 0.2remote data hosting · 0.2
YearPublicationVenuePosition
2014 Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser
abstract
SUMMARY: Track data hubs provide an efficient mechanism for visualizing remotely hosted Internet-accessible collections of genome annotations. Hub datasets can be organized, configured and fully integrated into the University of California Santa Cruz (UCSC) Genome Browser and accessed through the familiar browser interface. For the first time, individuals can use the complete browser feature set to view custom datasets without the overhead of setting up and maintaining a mirror. AVAILABILITY AND IMPLEMENTATION: Source code for the BigWig, BigBed and Genome Browser software is freely available for non-commercial use at http://hgdownload.cse.ucsc.edu/admin/jksrc.zip, implemented in C and supported on Linux. Binaries for the BigWig and BigBed creation and parsing utilities may be downloaded at http://hgdownload.cse.ucsc.edu/admin/exe/. Binary Alignment/Map (BAM) and Variant Call Format (VCF)/tabix utilities are available from http://samtools.sourceforge.net/ and http://vcftools.sourceforge.net/. The UCSC Genome Browser is publicly accessible at http://genome.ucsc.edu.
Brian J. Raney, Timothy R. Dreszer, Galt P. Barber, Hiram Clawson, Pauline A. Fujita, Ting Wang 0032, Ngan Nguyen, Benedict Paten, Ann S. Zweig, Donna Karolchik, W. James Kent
Bioinform.3
2010 BigWig and BigBed: enabling browsing of large distributed datasets
abstract
Abstract Summary: BigWig and BigBed files are compressed binary indexed files containing data at several resolutions that allow the high-performance display of next-generation sequencing experiment results in the UCSC Genome Browser. The visualization is implemented using a multi-layered software approach that takes advantage of specific capabilities of web-based protocols and Linux and UNIX operating systems files, R trees and various indexing and compression tricks. As a result, only the data needed to support the current browser view is transmitted rather than the entire file, enabling fast remote access to large distributed data sets. Availability and implementation: Binaries for the BigWig and BigBed creation and parsing utilities may be downloaded at http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/. Source code for the creation and visualization software is freely available for non-commercial use at http://hgdownload.cse.ucsc.edu/admin/jksrc.zip, implemented in C and supported on Linux. The UCSC Genome Browser is available at http://genome.ucsc.edu Contact: [email protected] Supplementary information: Supplementary byte-level details of the BigWig and BigBed file formats are available at Bioinformatics online. For an in-depth description of UCSC data file formats and custom tracks, see http://genome.ucsc.edu/FAQ/FAQformat.html and http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html
W. James Kent, Ann S. Zweig, Galt P. Barber, Angie S. Hinrichs, Donna Karolchik
Bioinform.3