A digital Signal Processing-based Bioinformatics Approach to Identifying the Origins of HIV-1 non B subtypes infecting US Army Personnel Serving Abroad

Current HIV Research

Volumn 11, Issue 4, 2013, Pages 271-280

  Nwankwo, Norbert ^a,b  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

^b NONE   (Nigeria)

Author keywords

Digital signal processing; HIV surface protein; HIV 1 non B subtype; Informational spectrum method; Phylogenetic tree

Indexed keywords

CD4 ANTIGEN; GLYCOPROTEIN GP 120;

AMINO ACID SEQUENCE; ARMY; ARTICLE; BIOINFORMATICS; CHIMPANZEE; DEMOCRATIC REPUBLIC CONGO; FOURIER TRANSFORMATION; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC ORIGIN; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; INFORMATIONAL SPECTRUM METHOD; NIGERIA; NONHUMAN; NUCLEOTIDE SEQUENCE; PHYLOGENETIC TREE; SIGNAL PROCESSING; VIRUS STRAIN; VIRUS TRANSMISSION;

AMINO ACID SEQUENCE; ANIMALS; ANTIGENS, CD4; COMPUTATIONAL BIOLOGY; DEMOCRATIC REPUBLIC OF THE CONGO; HIV INFECTIONS; HIV-1; HUMANS; MILITARY PERSONNEL; NIGERIA; PAN TROGLODYTES; PEPTIDE FRAGMENTS; PHYLOGENY; SIGNAL PROCESSING, COMPUTER-ASSISTED; UNITED STATES;

EID: 84886050296     PISSN: 1570162X     EISSN: 18734251     Source Type: Journal    
DOI: 10.2174/1570162X113119990046     Document Type: Article

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