Inferring Strain Mixture within Clinical Plasmodium falciparum Isolates from Genomic Sequence Data

PLoS Computational Biology

Volumn 12, Issue 6, 2016, Pages

  O’Brien, John D ^a   Iqbal, Zamin ^b   Wendler, Jason ^c   Amenga Etego, Lucas ^b,d  

^a BOWDOIN COLLEGE   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^d NAVRONGO HEALTH RESEARCH CENTRE   (Ghana)

Author keywords

[No Author keywords available]

Indexed keywords

GENES; OPEN SYSTEMS; STRAIN;

GENOME SEQUENCE DATA; GENOMIC-SEQUENCE DATA; LARGE DATASETS; OPEN-SOURCE; P. FALCIPARUM; PLASMODIUM FALCIPARUM; SIMULATION DATA; SOURCE CODES; STATISTIC MODELING; WHOLE GENOME SEQUENCES;

MIXTURES;

CLINICAL TRIAL; CONTROLLED STUDY; DNA STRUCTURE; GENOME; HOST SELECTION; HUMAN; PLASMODIUM FALCIPARUM; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; ALGORITHM; BAYES THEOREM; CHROMOSOMAL MAPPING; CLASSIFICATION; DNA SEQUENCE; GENETICS; PROCEDURES; SPECIES DIFFERENCE;

PROTOZOAL DNA;

ALGORITHMS; BAYES THEOREM; CHROMOSOME MAPPING; DNA, PROTOZOAN; PLASMODIUM FALCIPARUM; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS, DNA; SPECIES SPECIFICITY;

EID: 84978791332     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004824     Document Type: Article

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