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Héctor Sánchez-Iranzo

dblp:236/1395 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
gene expression database
0.412019
zfRegeneration: a database for gene expression profiling during regeneration · Bioinform. 2019
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.112019
zfRegeneration: a database for gene expression profiling during regeneration · Bioinform. 2019
Bioinformatics and computational biology
transcriptomics
0.112019
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
YearPublicationVenuePosition
2019 zfRegeneration: a database for gene expression profiling during regeneration
abstract
MOTIVATION: 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