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Maria Bessa

dblp:188/4820 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
alternative polyadenylation analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › gene expression analysis
differential expression analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene ontology analysis
0.212024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024

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

differential expression analysis · 0.8correlation analysis · 0.8
YearPublicationVenuePosition
2024 APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data
abstract
SUMMARY: APAtizer is a tool designed to analyze alternative polyadenylation events on RNA-sequencing data. The tool handles different file formats, including BAM, htseq, and DaPars bedGraph files. It provides a user-friendly interface that allows users to generate informative visualizations, including Volcano plots, heatmaps, and gene lists. These outputs allow the user to retrieve useful biological insights such as the occurrence of polyadenylation events when comparing two biological conditions. In addition, it can perform differential gene expression, gene ontology analysis, visualization of Venn diagram intersections, and correlation analysis. AVAILABILITY AND IMPLEMENTATION: Source code and example case studies for APAtizer are available at https://github.com/GeneRegulationi3S/APAtizer/.
Bruno Sousa, Maria Bessa, Filipa L. de Mendonça, Pedro G. Ferreira, Alexandra Moreira, Isabel Pereira-Castro
Bioinform.2