CEESIt: A computational tool for the interpretation of STR mixtures

Forensic Science International: Genetics

Volumn 22, Issue , 2016, Pages 149-160

  Swaminathan, Harish ^a   Garg, Abhishek ^a   Grgicak, Catherine M ^b   Medard, Muriel ^c   Lun, Desmond S ^a,d,e  

^a RUTGERS UNIVERSITY   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d RUTGERS UNIVERSITY   (United States)

^e UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

DNA analysis; Likelihood ratio; LR distribution; Mixture interpretation; p Value

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; CALCULATION; CALIBRATION; CEESIT METHOD; DNA DETERMINATION; DNA TEMPLATE; EMPIRICISM; GENE FREQUENCY; GENOTYPE; NOISE; PRIORITY JOURNAL; STATISTICAL SIGNIFICANCE; ANALYSIS; BIOLOGICAL MODEL; DNA FINGERPRINTING; DRUG MIXTURE; GENETICS; HUMAN; PROCEDURES; STATISTICAL MODEL;

DNA; DRUG MIXTURE; MICROSATELLITE DNA;

COMPLEX MIXTURES; DNA; DNA FINGERPRINTING; GENOTYPE; HUMANS; LIKELIHOOD FUNCTIONS; MICROSATELLITE REPEATS; MODELS, GENETIC; MODELS, STATISTICAL;

EID: 84959568019     PISSN: 18724973     EISSN: 18780326     Source Type: Journal    
DOI: 10.1016/j.fsigen.2016.02.005     Document Type: Article

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