Demo Data from VLDB 2026 / reviewers in the wild / expert
Steven P. Wilder
dblp:29/7243
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-8049-2559ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › genome analysis
genome-wide analysis |
0.2 | 1 | 2014 | WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis · Bioinform. 2014 |
Bioinformatics and computational biology › sequence analysis › sequencing data processing
high-throughput sequencing data processing |
0.1 | 1 | 2014 | WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
multi-threaded processing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysisabstractMOTIVATION: Using high-throughput sequencing, researchers are now generating hundreds of whole-genome assays to measure various features such as transcription factor binding, histone marks, DNA methylation or RNA transcription. Displaying so much data generally leads to a confusing accumulation of plots. We describe here a multithreaded library that computes statistics on large numbers of datasets (Wiggle, BigWig, Bed, BigBed and BAM), generating statistical summaries within minutes with limited memory requirements, whether on the whole genome or on selected regions. AVAILABILITY AND IMPLEMENTATION: The code is freely available under Apache 2.0 license at www.github.com/Ensembl/Wiggletools Daniel R. Zerbino, Nathan Johnson, Thomas Juettemann, Steven P. Wilder, Paul Flicek |
Bioinform. | 4 |