Demo Data from EDBT 2026 / reviewers in the wild / expert
E. Pascual-Carreras
dblp:261/4571
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › network bioinformatics
biological network analysis |
0.4 | 1 | 2020 | PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020 |
Bioinformatics and computational biology
gene expression analysis |
0.4 | 1 | 2020 | 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 |
0.4 | 1 | 2020 | 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 |
0.4 | 1 | 2020 | PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources · Bioinform. 2020 |
Bioinformatics and computational biology › transcriptomics
transcriptomic data visualization |
0.4 | 1 | 2020 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resourcesabstractMOTIVATION: 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 |