Evidence map›Paper›PMID 38844845›Full record

ArticleBMC bioinformatics2024

dgfr: an R package to assess sequence diversity of gene families.

Laila Viana Almeida, João Luís Reis-Cunha, Daniella C Bartholomeu

Abstract read
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Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Laila Viana AlmeidaDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
João Luís Reis-CunhaDepartment of Biology, York Biomedical Research Institute, University of York, York, UK.
Daniella C BartholomeuDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. daniellaufmg@gmail.com.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 310531/2023-3Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-01822-18MRC New Investigator Research Grant MR/T016019/1
6 · The paper itself

Abstract

backgroundGene families are groups of homologous genes that often have similar biological functions. These families are formed by gene duplication events throughout evolution, resulting in multiple copies of an ancestral gene. Over time, these copies can acquire mutations and structural variations, resulting in members that may vary in size, motif ordering and sequence. Multigene families have been described in a broad range of organisms, from single-celled bacteria to complex multicellular organisms, and have been linked to an array of phenomena, such as host-pathogen interactions, immune evasion and embryonic development. Despite the importance of gene families, few approaches have been developed for estimating and graphically visualizing their diversity patterns and expression profiles in genome-wide studies.

resultsHere, we introduce an R package named dgfr, which estimates and enables the visualization of sequence divergence within gene families, as well as the visualization of secondary data such as gene expression. The package takes as input a multi-fasta file containing the coding sequences (CDS) or amino acid sequences from a multigene family, performs a pairwise alignment among all sequences, and estimates their distance, which is subjected to dimension reduction, optimal cluster determination, and gene assignment to each cluster. The result is a dataset that allows for the visualization of sequence divergence and expression within the gene family, an approximation of the number of clusters present in the family.

conclusionsdgfr provides a way to estimate and study the diversity of gene families, as well as visualize the dispersion and secondary profile of the sequences. The dgfr package is available at https://github.com/lailaviana/dgfr under the GPL-3 license.

Indexed as

Genetic VariationMultigene FamilySoftwareSequence AlignmentClusteringGene familiesSequence diversity

Identifiers

PMID38844845
PMCPMC11155016

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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.