MI-MAAP

MI-MAAP is a web-based tool for ranking ancestry informative markers (AIMs) within reference ancestral populations with maximum information content utilizing the 1000 Genomes Project, Human Genome Diversity Project, and other genomic resources. The MI-MAAP algorithm uses a novel allele frequency-based feature selection, Principal Component Analysis (PCA), Lancaster Estimator of Independence (LEI), Support Vector Machine (SVM), and Random Forest (RF) methods.

Topic

Mapping;Population genetics;Genotype and phenotype;DNA polymorphism;Genomics

Detail

  • Operation: Essential dynamics;Genotyping;Haplotype mapping;Principal component visualisation;Nucleic acid feature detection

  • Software interface: Web user interface

  • Language: -

  • License: Open access, some restrictions

  • Cost: Free

  • Version name: -

  • Credit: National Institutes of Health (NIH)

  • Input: -

  • Output: -

  • Contact: Siqi Chen chen2se@mail.uc.edu, Sudhir Ghandikota Sudhir.ghandikota@cchmc.org, Yadu Gautam yadu.gautam@cchmc.org, Tesfaye B. Mersha tesfaye.mersha@cchmc.org

  • Collection: -

  • Maturity: -

Publications

Download and documentation

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