Demo Data from EDBT 2026 / reviewers in the wild / expert
Jaroslaw Surkont
dblp:197/8466
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein function prediction
protein classification |
0.3 | 1 | 2017 | Rabifier2: an improved bioinformatic classifier of Rab GTPases · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
bioinformatic pipeline · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Rabifier2: an improved bioinformatic classifier of Rab GTPasesabstractSummary: The Rab family of small GTPases regulates and provides specificity to the endomembrane trafficking system; each Rab subfamily is associated with specific pathways. Thus, characterization of Rab repertoires provides functional information about organisms and evolution of the eukaryotic cell. Yet, the complex structure of the Rab family limits the application of existing methods for protein classification. Here, we present a major redesign of the Rabifier, a bioinformatic pipeline for detection and classification of Rab GTPases. It is more accurate, significantly faster than the original version and is now open source, both the code and the data, allowing for community participation. Availability and Implementation: Rabifier and RabDB are freely available through the web at http://rabdb.org . The Rabifier package can be downloaded from the Python Package Index at https://pypi.python.org/pypi/rabifier , the source code is available at Github https://github.com/evocell/rabifier . Contact: [email protected] or [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Jaroslaw Surkont, Yoan Diekmann, José B. Pereira-Leal |
Bioinform. | 1 |