MitoIMP

MitoIMP imputes missing nucleotides in human mitochondrial DNA to reconstruct complete mtDNA sequences for downstream population genetic, evolutionary, and phylogenetic analyses.


Key Features:

  • High Precision Imputation: Imputes missing nucleotides with accuracy rates of 0.99 or higher across most human mitochondrial DNA lineages.
  • Global Application: Applied to worldwide mitochondrial haplogroup lineages, enabling analysis across diverse population datasets.
  • Correction of Multidimensional Scaling Analysis: Adjusts positional arrangements from multidimensional scaling of low-coverage mtDNA sequences by aligning samples to their mitochondrial DNA lineages.

Scientific Applications:

  • Reconstruction of partial mtDNA: Fills in missing nucleotides in fragmented or low-coverage human mitochondrial genome sequences to enable comprehensive comparisons among genomic datasets.
  • Population genetics: Supports haplogroup-based diversity and comparative analyses across populations.
  • Evolutionary and phylogenetic analyses: Provides more complete mtDNA sequences for phylogenetic tree construction and evolutionary inference.
  • Multidimensional scaling refinement: Improves interpretability of multidimensional scaling plots by correcting sample positions according to mitochondrial lineages.

Methodology:

MitoIMP leverages existing mitochondrial haplogroup lineage data in a computational imputation process to predict missing nucleotides with high accuracy and to refine positional relationships in multidimensional scaling analyses.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python
Added:
11/14/2019
Last Updated:
12/29/2020

Operations

Publications

Ishiya K, Mizuno F, Wang L, Ueda S. MitoIMP: A Computational Framework for Imputation of Missing Data in Low-Coverage Human Mitochondrial Genome. Bioinformatics and Biology Insights. 2019;13. doi:10.1177/1177932219873884. PMID:31523131. PMCID:PMC6732850.