Demo Data from EDBT 2026 / reviewers in the wild / expert
Dmitry A. Filatov
dblp:60/7591
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
0000-0001-8077-5452ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 › population genetics › genetic variation analysis
DNA polymorphism analysis |
0.1 | 1 | 2009 | Processing and population genetic analysis of multigenic datasets with ProSeq3 software · Bioinform. 2009 |
Bioinformatics and computational biology
population genetics |
0.1 | 1 | 2009 | Processing and population genetic analysis of multigenic datasets with ProSeq3 software · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
sequence alignment editing · 0.1relational database · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Processing and population genetic analysis of multigenic datasets with ProSeq3 softwareabstractMOTIVATION: The current tendency in molecular population genetics is to use increasing numbers of genes in the analysis. Here I describe a program for handling and population genetic analysis of DNA polymorphism data collected from multiple genes. The program includes a sequence/alignment editor and an internal relational database that simplify the preparation and manipulation of multigenic DNA polymorphism datasets. The most commonly used DNA polymorphism analyses are implemented in ProSeq3, facilitating population genetic analysis of large multigenic datasets. Extensive input/output options make ProSeq3 a convenient hub for sequence data processing and analysis. AVAILABILITY: The program is available free of charge from http://dps.plants.ox.ac.uk/sequencing/proseq.htm. Dmitry A. Filatov |
Bioinform. | 1 |