Demo Data from EDBT 2026 / reviewers in the wild / expert
Jason R. Myers
dblp:65/10932
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved
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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
next-generation sequencing |
0.1 | 1 | 2012 | ART: a next-generation sequencing read simulator · Bioinform. 2012 |
Bioinformatics and computational biology
sequencing simulation |
0.1 | 1 | 2012 | ART: a next-generation sequencing read simulator · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
read error model · 0.1quality profile · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | ART: a next-generation sequencing read simulatorabstractUNLABELLED: ART is a set of simulation tools that generate synthetic next-generation sequencing reads. This functionality is essential for testing and benchmarking tools for next-generation sequencing data analysis including read alignment, de novo assembly and genetic variation discovery. ART generates simulated sequencing reads by emulating the sequencing process with built-in, technology-specific read error models and base quality value profiles parameterized empirically in large sequencing datasets. We currently support all three major commercial next-generation sequencing platforms: Roche's 454, Illumina's Solexa and Applied Biosystems' SOLiD. ART also allows the flexibility to use customized read error model parameters and quality profiles. AVAILABILITY: Both source and binary software packages are available at http://www.niehs.nih.gov/research/resources/software/art. Weichun Huang, Leping Li, Jason R. Myers, Gabor T. Marth |
Bioinform. | 3 |