Demo Data from VLDB 2026 / reviewers in the wild / expert
Vladimir Suvorov
dblp:153/3874
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment |
0.2 | 1 | 2016 | rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
transcriptome assembly |
0.2 | 1 | 2016 | rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016 |
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis |
0.1 | 1 | 2016 | rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
quality metrics · 0.2benchmarking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | rnaQUAST: a quality assessment tool for de novo transcriptome assembliesabstractUNLABELLED: Ability to generate large RNA-Seq datasets created a demand for both de novo and reference-based transcriptome assemblers. However, while many transcriptome assemblers are now available, there is still no unified quality assessment tool for RNA-Seq assemblies. We present rnaQUAST-a tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. rnaQUAST calculates various metrics that demonstrate completeness and correctness levels of the assembled transcripts, and outputs them in a user-friendly report. AVAILABILITY AND IMPLEMENTATION: rnaQUAST is implemented in Python and is freely available at http://bioinf.spbau.ru/en/rnaquast CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Elena Bushmanova, Dmitry Antipov, Alla L. Lapidus, Vladimir Suvorov, Andrey D. Prjibelski |
Bioinform. | 4 |