Demo Data from EDBT 2026 / reviewers in the wild / expert
Timothy J. C. Anderson
dblp:48/5101-j
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genomic variant analysis |
0.1 | 1 | 2012 | VarB: a variation browsing and analysis tool for variants derived from next-generation sequencing data · Bioinform. 2012 |
Bioinformatics and computational biology
population genetics |
0.1 | 1 | 2012 | VarB: a variation browsing and analysis tool for variants derived from next-generation sequencing data · Bioinform. 2012 |
Bioinformatics and computational biology › population genetics
selection detection |
0.1 | 1 | 2012 | VarB: a variation browsing and analysis tool for variants derived from next-generation sequencing data · Bioinform. 2012 |
Bioinformatics and computational biology › genomics › genome visualization
variant visualization |
0.1 | 1 | 2012 | VarB: a variation browsing and analysis tool for variants derived from next-generation sequencing data · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
variant call format parsing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | VarB: a variation browsing and analysis tool for variants derived from next-generation sequencing dataabstractSUMMARY: There is an immediate need for tools to both analyse and visualize in real-time single-nucleotide polymorphisms, insertions and deletions, and other structural variants from new sequence file formats. We have developed VarB software that can be used to visualize variant call format files in real time, as well as identify regions under balancing selection and informative markers to differentiate user-defined groups (e.g. populations). We demonstrate its utility using sequence data from 50 Plasmodium falciparum isolates comprising two different continents and confirm known signals from genomic regions that contain important antigenic and anti-malarial drug-resistance genes. AVAILABILITY AND IMPLEMENTATION: The C++-based software VarB and user manual are available from www.pathogenseq.org/varb. CONTACT: [email protected] Mark D. Preston, Magnus Manske, Neil R. Horner, Samuel A. Assefa, Susana G. Campino, Sarah Auburn, Issaka Zongo, Jean-Bosco Ouedraogo, Francois Nosten, Timothy J. C. Anderson, Taane G. Clark |
Bioinform. | 10 |