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Mesa et al., 2016 - Google Patents

Hidden Markov models for gene sequence classification: Classifying the VSG gene in the Trypanosoma brucei genome

Mesa et al., 2016

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Document ID
6956960708863802090
Author
Mesa A
Basterrech S
Guerberoff G
Alvarez-Valin F
Publication year
Publication venue
Pattern Analysis and Applications

External Links

Snippet

The article presents an application of hidden Markov models (HMMs) for pattern recognition on genome sequences. We apply HMM for identifying genes encoding the variant surface glycoprotein (VSG) in the genomes of Trypanosoma brucei (T. brucei) and other African …
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Classifications

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    • G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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