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Braulio Valdebenito-Maturana

dblp:195/2765 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7361-2329ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.312018
TEcandidates: prediction of genomic origin of expressed transposable elements using RNA-seq data · Bioinform. 2018
Bioinformatics and computational biology › genomics › transposable elements
transposable element analysis
0.312018
TEcandidates: prediction of genomic origin of expressed transposable elements using RNA-seq data · Bioinform. 2018

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

read mapping · 0.3de novo transcriptome assembly · 0.3
YearPublicationVenuePosition
2018 TEcandidates: prediction of genomic origin of expressed transposable elements using RNA-seq data
abstract
Motivation: In recent years, Transposable Elements (TEs) have been related to gene regulation. However, estimating the origin of expression of TEs through RNA-seq is complicated by multi-mapping reads coming from their repetitive sequences. Current approaches that address multi-mapping reads are focused in expression quantification and not in finding the origin of expression. Addressing the genomic origin of expressed TEs could further aid in understanding the role that TEs might have in the cell. Results: We have developed a new pipeline called TEcandidates, based on de novo transcriptome assembly to assess the instances of TEs being expressed, along with their location, to include in downstream DE analysis. TEcandidates takes as input the RNA-seq data, the genome sequence and the TE annotation file and returns a list of coordinates of candidate TEs being expressed, the TEs that have been removed and the genome sequence with removed TEs as masked. This masked genome is suited to include TEs in downstream expression analysis, as the ambiguity of reads coming from TEs is significantly reduced in the mapping step of the analysis. Availability and implementation: The script which runs the pipeline can be downloaded at http://www.mobilomics.org/tecandidates/downloads or http://github.com/TEcandidates/TEcandidates. Supplementary information: Supplementary data are available at Bioinformatics online.
Braulio Valdebenito-Maturana, Gonzalo Riadi
Bioinform.1