Evidence map›Paper›PMID 34416914›Full record

ArticleGenome biology2021

ExOrthist: a tool to infer exon orthologies at any evolutionary distance.

Yamile Márquez, Federica Mantica, Luca Cozzuto, Demian Burguera, Antonio Hermoso-Pulido, Julia Ponomarenko, Scott W Roy, Manuel Irimia

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  9. Specialization of the photoreceptor transcriptome byProceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yamile Márquez *Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain. ymarquez1710@gmail.com.
Federica Mantica *Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
Luca CozzutoCentre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
Demian BurgueraCentre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
Antonio Hermoso-PulidoCentre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
Julia PonomarenkoCentre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
Scott W RoySan Francisco State University, 1600 Holloway Ave, San Francisco, CA, 94132, USA.
Manuel IrimiaCentre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain. mirimia@gmail.com.ORCID 0000-0002-2179-2567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several bioinformatic tools have been developed for genome-wide identification of orthologous and paralogous genes. However, no corresponding tool allows the detection of exon homology relationships. Here, we present ExOrthist, a fully reproducible Nextflow-based software enabling inference of exon homologs and orthogroups, visualization of evolution of exon-intron structures, and assessment of conservation of alternative splicing patterns. ExOrthist evaluates exon sequence conservation and considers the surrounding exon-intron context to derive genome-wide multi-species exon homologies at any evolutionary distance. We demonstrate its use in different evolutionary scenarios: whole genome duplication in frogs and convergence of Nova-regulated splicing networks ( https://github.com/biocorecrg/ExOrthist ).

Indexed as

Computational BiologyEvolution, MolecularExonsSoftwareAlternative SplicingAnimalsConserved SequenceGenomeHumansIntronsMiceAlternative splicingIntron-exon structuresOrthologyParalogy

Identifiers

PMID34416914
PMCPMC8379844

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.