Demo Data from VLDB 2026 / reviewers in the wild / expert
Galt P. Barber
dblp:92/2946
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › genome visualization
genome browser visualization |
0.3 | 2 | 2014 | 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 |
0.2 | 1 | 2014 | Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser · Bioinform. 2014 |
Bioinformatics and computational biology
genomics |
0.1 | 1 | 2010 | BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010 |
Bioinformatics and computational biology › sequence analysis › sequence visualization
high-throughput sequencing data visualization |
0.1 | 1 | 2010 | BigWig and BigBed: enabling browsing of large distributed datasets · Bioinform. 2010 |
Storage systems
file systems |
0.0 | 1 | 2010 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome BrowserabstractSUMMARY: 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 datasetsabstractAbstract 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 |