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Updated: May 26, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Identification of conserved gene clusters in multiple genomes based on synteny and homology
Anasua Sarkar1, Hayssam Soueidan, Macha Nikolski
1LaBRI, CNRS/Université Bordeaux 1, 351 crs Libération, 33405 Talence, France. sarkar@LaBRI.U-Bordeaux.FR
Background:
Uncovering the relationship between the conserved chromosomal segments and the functional relatedness of elements within these segments is an important question in computational genomics. We build upon the series of works on gene teams and homology teams.
Results:
Our primary contribution is a local sliding-window SYNS (SYNtenic teamS) algorithm that refines an existing family structure into orthologous sub-families by analyzing the neighborhoods around the members of a given family with a locally sliding window. The neighborhood analysis is done by computing conserved gene clusters. We evaluate our algorithm on the existing homologous families from the Genolevures database over five genomes of the Hemyascomycete phylum.
Conclusions:
The result is an efficient algorithm that works on multiple genomes, considers paralogous copies of genes and is able to uncover orthologous clusters even in distant genomes. Resulting orthologous clusters are comparable to those obtained by manual curation.
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