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.