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High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution

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Published on: May 5, 2023

HAPLOFIND: a new method for high-throughput mtDNA haplogroup assignment.

Dario Vianello¹, Federica Sevini, Gastone Castellani

¹Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna 40126, Italy. dario.vianello@unibo.it

|May 23, 2013

Summary

This study introduces HaploFind, a new computational pipeline for analyzing mitochondrial DNA (mtDNA) sequences. HaploFind efficiently classifies mtDNA data and annotates mutations, improving upon existing tools for large-scale genomic studies.

Keywords:

NGS Web service haplogroup haplogroup assignment mtDNA

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Deep sequencing is transforming DNA analysis, leading to an increase in sequenced mitochondrial DNA (mtDNA) samples.
Existing mtDNA analysis tools lack throughput and ease of use for the growing volume of data.

Purpose of the Study:

To develop a high-throughput, user-friendly pipeline for analyzing and classifying mitochondrial DNA sequences.
To create an updated PhyloTree-based weighted tree incorporating haplogroup pattern conservation.

Main Methods:

Developed a novel pipeline integrating existing nuclear genomic algorithms with a new classification algorithm.
Utilized a highly efficient aligner and asynchronous parallel processing for high-throughput analysis.
Annotated detected mutations using publicly available databases and created a PhyloTree-based weighted tree from GenBank sequences.

Main Results:

The HaploFind pipeline efficiently and easily classifies new mtDNA sequences according to PhyloTree nomenclature.
Generated a PhyloTree-based weighted tree reflecting haplogroup pattern conservation.
The pipeline is designed for high-throughput analysis and can be readily updated.

Conclusions:

HaploFind offers a significant advancement in mtDNA sequence analysis, addressing limitations of current tools.
The pipeline facilitates efficient classification and annotation, supporting large-scale genomic research.
HaploFind is freely accessible, promoting broader adoption in the scientific community.