URL: http://www4a.biotec.or.th/GI/tools/ippca
Proper Citation: ipPCA (RRID:SCR_001262)
Description: Software implementing a population structure analysis algorithm which assigns individuals to subpopulations and infers the total number of subpopulations present. Additional functions have been included that result in improved population assignment accuracy. # Universal genotype data encoding scheme which allows the population analysis of all types of genetic markers; Single Nucleotide Polymorphism (SNP), Short Tandem Repeat (STR) and RFLP. # New termination criterion called ?EigenDev? which is more robust to population sampling, thus provides the better estimation of number of assigned subpopulations (K) and higher accuracy for the analysis of large complex population datasets.
Abbreviations: ipPCA, i2pPCA
Synonyms: i2pPCA, Iterative pruning Principal Component Analysis
Resource Type: software resource
Defining Citation: PMID:21699684, PMID:19930644
Keywords: principal component analysis, population, genetic marker, single nucleotide polymorphism, short tandem repeat, rflp
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