An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability

An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability

Abstract Background Trypanosoma cruzi, the protozoan causing Chagas disease, is responsible for a neglected tropical disease affecting millions in Latin America. Its genome contains rapidly evolving multigene families, such as mucins (TcMUC), trans-sialidases (TS), and mucin-associated surface prote...

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Bibliographic Details
Main Authors: Aldana Alexandra Cepeda Dean, Luisa Berná, Carlos Robello, Carlos Andrés Buscaglia, Virginia Balouz
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Genomics
Subjects:
Trypanosoma cruzi
Mucin-associated surface proteins (MASP)
Hidden Markov Models (HMM)
Molecular signatures
Genome annotation
Online Access:https://doi.org/10.1186/s12864-025-11384-5
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https://doi.org/10.1186/s12864-025-11384-5

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