An efficient test for comparing sequence diversity between two populations

Journal of Computational Biology

Volumn 8, Issue 2, 2001, Pages 123-139

  Gilbert, P B ^a   Novitsky, V A ^b   Montano, M A ^b   Essex, M ^b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b Harvard AIDS Institute   (United States)

Author keywords

HIV genetic diversity; HIV vaccine design; Statistical hypothesis testing; Two sample test; U statistic

Indexed keywords

AFRICA; ARTICLE; CONSENSUS SEQUENCE; CONTROLLED STUDY; GENE REPLICATION; GENETIC CODE; GENETIC DISTANCE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; NONHUMAN; NUCLEOTIDE SEQUENCE; PATIENT; POPULATION; PRIORITY JOURNAL; SAMPLE; SEQUENCE ANALYSIS; STANDARDIZATION; STATISTICAL ANALYSIS; TECHNIQUE; VIRUS ISOLATION;

AFRICA, SOUTHERN; ALGORITHMS; EUROPE; GENE PRODUCTS, GAG; HIV INFECTIONS; HIV LONG TERMINAL REPEAT; HIV-1; MODELS, GENETIC; MODELS, STATISTICAL; MOLECULAR SEQUENCE DATA; NORTH AMERICA; VARIATION (GENETICS);

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 0034917220     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/106652701300312904     Document Type: Article

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