The potential of family-free rearrangements towards gene orthology inference

Author:

Rubert Diego P.1,Doerr Daniel2,Braga Marília D. V.3

Affiliation:

1. Faculdade de Computação, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil

2. Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

3. Faculty of Technology and CeBiTec, Bielefeld University, Bielefeld, Germany

Abstract

Recently, we proposed an efficient ILP formulation [Rubert DP, Martinez FV, Braga MDV, Natural family-free genomic distance, Algorithms Mol Biol 16:4, 2021] for exactly computing the rearrangement distance of two genomes in a family-free setting. In such a setting, neither prior classification of genes into families, nor further restrictions on the genomes are imposed. Given two genomes, the mentioned ILP computes an optimal matching of the genes taking into account simultaneously local mutations, given by gene similarities, and large-scale genome rearrangements. Here, we explore the potential of using this ILP for inferring groups of orthologs across several species. More precisely, given a set of genomes, our method first computes all pairwise optimal gene matchings, which are then integrated into gene families in the second step. Our approach is implemented into a pipeline incorporating the pre-computation of gene similarities. It can be downloaded from gitlab.ub.uni-bielefeld.de/gi/FFGC. We obtained promising results with experiments on both simulated and real data.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Science Applications,Molecular Biology,Biochemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recombinations, chains and caps: resolving problems with the DCJ-indel model;Algorithms for Molecular Biology;2024-02-27

2. Family-Free Genome Comparison;Methods in Molecular Biology;2024

3. Efficient gene orthology inference via large-scale rearrangements;Algorithms for Molecular Biology;2023-09-28

4. Introduction to the Special Issue of the 18th Annual International RECOMB Satellite Workshop on Comparative Genomics;Journal of Bioinformatics and Computational Biology;2021-12

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