An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability - Dean, Aldana Alexandra Cepeda; Berná, Luisa; Robello, Carlos; Buscaglia, Carlos Andrés; Balouz, Virginia (BMC genomics, 2025)
Keywords: Algorithms; Analysis; Animal Genetics and Genomics; Annotations; Anopheles; Biomedical and Life Sciences; Care and treatment; Chagas disease; Chimeras; Classification; Comparative analysis; Computational Biology - methods; Diagnosis; Disease transmission; DNA sequencing; Gene families; Genes; Genetic aspects; Genetic variability; Genetic Variation; Genome annotation; Genome, Protozoan; Genomes; Genomics; Glycoproteins; Hidden Markov Models (HMM); Life Sciences; Mannose-binding protein-associated serine proteinase; Markov processes; Membrane Proteins - genetics; Microarrays; Microbial Genetics and Genomics; Molecular Sequence Annotation; Molecular signatures; Mucin; Mucin-associated surface proteins (MASP); Mucins; Mucins - genetics; Multigene Family; Neuraminidase; Nucleotide sequencing; Omics of Parasites 2; Parasites; Phylogeny; Plant Genetics and Genomics; Proteins; Proteomics; Protozoa; Protozoan Proteins - chemistry; Protozoan Proteins - classification; Protozoan Proteins - genetics; Pseudogenes; Robustness; Trypanosoma cruzi; Trypanosoma cruzi - classification; Trypanosoma cruzi - genetics; Vector-borne diseases; Virulence (Microbiology); Brazil; Genome annotation; Mucin-associated surface proteins (MASP); Hidden Markov Models (HMM); Molecular signatures; Trypanosoma cruzi