Demo Data from EDBT 2026 / reviewers in the wild / expert
Ganesh Panzade
dblp:255/6705
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-3940-6724ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
functional genomics |
0.8 | 1 | 2024 | DAVID Ortholog: an integrative tool to enhance functional analysis through orthologs · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
ortholog mapping · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | DAVID Ortholog: an integrative tool to enhance functional analysis through orthologsabstractMOTIVATION: The Database for Annotation, Visualization, and Integrated Discovery (DAVID) is a web-based bioinformatics system for the functional interpretation of large lists of genes/proteins generated from high-throughput assays. It has been cited in 72 287 papers since its debut in 2003 as of 23 July 2024. The analysis is usually limited to the species of study. However, the knowledge of genes may be incomplete or unavailable for some species. Model organisms have been studied more extensively and analyzing gene lists in the context of these species can offer valuable insights, helping users better understand the genes and biological themes in their species of interest. RESULTS: We developed DAVID Ortholog for the conversion of gene lists between species. We utilized the ortholog data downloaded from Orthologous MAtrix (OMA) and Ensembl Compara as the base for the conversion. The OMA ortholog IDs and Ensembl gene IDs were converted to DAVID gene IDs and the pairing information of these IDs from these two sources was integrated into the DAVID Knowledgebase. DAVID Ortholog can convert the user's source gene list to an ortholog list of a desired species and the downstream DAVID analysis, in the context of that species, can be continued seamlessly, allowing users to further understand the biological meaning of their gene list based on the functional annotation found for the orthologs. AVAILABILITY AND IMPLEMENTATION: https://davidbioinformatics.nih.gov/ortholog.jsp. Brad T. Sherman, Ganesh Panzade, Tomozumi Imamichi, Weizhong Chang |
Bioinform. | 2 |