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E. Pascual-Carreras

dblp:261/4571 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-9577-840XORCID · 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 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics
biological network analysis
0.412020
PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020
Bioinformatics and computational biology
gene expression analysis
0.412020
PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020
Bioinformatics and computational biology › biological network › network biology
genetic interaction prediction
0.412020
PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020
Bioinformatics and computational biology › single-cell analysis › single-cell RNA sequencing
single-cell RNA-seq analysis
0.412020
PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020
Bioinformatics and computational biology › transcriptomics
transcriptomic data visualization
0.412020
PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

network visualization · 0.4expression mapping · 0.4
YearPublicationVenuePosition
2020 PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources
abstract
MOTIVATION: There is an increasing amount of transcriptomic and genomic data available for planarians with the advent of both traditional and single-cell RNA sequencing technologies. Therefore, exploring, visualizing and making sense of all these data in order to understand planarian regeneration and development can be challenging. RESULTS: In this work, we present PlanExp, a web-application to explore and visualize gene expression data from different RNA-seq experiments (both traditional and single-cell RNA-seq) for the planaria Schmidtea mediterranea. PlanExp provides tools for creating different interactive plots, such as heatmaps, scatterplots, etc. and links them with the current sequence annotations both at the genome and the transcript level thanks to its integration with the PlanNET web application. PlanExp also provides a full gene/protein network editor, a prediction of genetic interactions from single-cell RNA-seq data, and a network expression mapper that will help researchers to close the gap between systems biology and planarian regeneration. AVAILABILITY AND IMPLEMENTATION: PlanExp is freely available at https://compgen.bio.ub.edu/PlanNET/planexp. The source code is available at https://compgen.bio.ub.edu/PlanNET/downloads. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sergio Castillo-Lara, E. Pascual-Carreras, Josep F. Abril
Bioinform.2