Demo Data from EDBT 2026 / reviewers in the wild / expert
Héctor Sánchez-Iranzo
dblp:236/1395
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-2032-0231ORCID · reported
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 › biological database
gene expression database |
0.4 | 1 | 2019 | zfRegeneration: a database for gene expression profiling during regeneration · Bioinform. 2019 |
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis |
0.1 | 1 | 2019 | zfRegeneration: a database for gene expression profiling during regeneration · Bioinform. 2019 |
Bioinformatics and computational biology
transcriptomics |
0.1 | 1 | 2019 | zfRegeneration: a database for gene expression profiling during regeneration · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
differential expression analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | zfRegeneration: a database for gene expression profiling during regenerationabstractMOTIVATION: Zebrafish is a model organism with the ability to regenerate many different organs. Although RNA-Seq has been used extensively to study this process, there are no databases that allow easy access to data. RESULTS: Here we develop the first regeneration database that provides easy access to a large number of RNA-Seq datasets through custom-made plots of expression levels, differential expression analyses, correlations of genes and comparisons of the different datasets. zfRegeneration has a user-friendly web interface designed to enhance regeneration studies and to overcome the barriers between different research groups that study the regeneration of distinct organs. Using several case studies, we demonstrate that zfRegeneration provides a unique platform to analyse and understand gene expression during regeneration. AVAILABILITY AND IMPLEMENTATION: zfRegeneration is freely available at www.zfregeneration.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rocío Nieto-Arellano, Héctor Sánchez-Iranzo |
Bioinform. | 2 |