Sequence Alignment and Phylogenetic Tree Construction of Malarial Parasites | Zendy

Sk. Mujaffor | Zendy; Tripti Swarnkar | Zendy; Raktima Bandyopadhyay | Zendy

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Sequence Alignment and Phylogenetic Tree Construction of Malarial Parasites

Author(s) -

Sk. Mujaffor,

Tripti Swarnkar,

Raktima Bandyopadhyay

Publication year - 2010

Publication title -

international journal of computer and communication technology

Language(s) - English

Resource type - Journals

eISSN - 2231-0371

pISSN - 0975-7449

DOI - 10.47893/ijcct.2010.1042

Subject(s) - phylogenetic tree , multiple sequence alignment , hidden markov model , tree (set theory) , sequence (biology) , computational biology , markov chain , domain (mathematical analysis) , sequence alignment , phylogenetics , computer science , sequence analysis , biology , alignment free sequence analysis , artificial intelligence , gene , machine learning , genetics , mathematics , peptide sequence , combinatorics , mathematical analysis

Sequence alignment is one of the basic problems in computational biology that has helped researchers analyze biological sequences. The analysis has helped biologists to detect pathogens ;to develop drugs, and to predict the secondary and tertiary structure of a protein and identity common genes. The objective of the Phylogenetic tree is to determine the branch length and to figure out how the evolutionary tree has been generated . One way to tackle MSA is to use Hidden Markov Models (HMMs), which are known to be very powerful in the related problem domain of speech recognition. The fully trained model is applied to draw a valid conclusion about the evaluation of malarial parasites. KeywordsSequence alignment; Phylogenetic tree; HMM; MSA; ClustalW; Merozoite surface protein; BioEdit

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