Phy-Mer

Phy-Mer classifies mitochondrial haplogroups using an alignment-free, reference-independent k-mer method for assigning haplogroups from mitochondrial genomes and next-generation sequencing (NGS) data.

Key Features:

• Alignment-Free Approach: Uses a k-mer based algorithm to classify mitochondrial genomes without sequence alignment.
• Reference Independence: Operates without comparing sequences to a reference genome, enabling classification across diverse mitochondrial variation.
• Compatibility with High-Throughput Sequencing Data: Accepts next-generation sequencing (NGS) data as input.
• Performance and Accuracy: Achieves performance comparable to HaploGrep while avoiding variant preparation and notation conversion steps.

Scientific Applications:

• Population genetics: Classification of mitochondrial haplogroups for population-level genetic analyses.
• Evolutionary biology: Classification of mitochondrial haplogroups to inform evolutionary and phylogenetic investigations.
• Forensic analyses: Assignment of mitochondrial haplogroups for forensic comparison and analysis.
• Large-scale genomic studies: Direct handling of sequencing data to support large-scale genomic projects where alignment-based methods may be impractical or error-prone.

Methodology:

Uses a k-mer approach that decomposes sequences into overlapping substrings of length k and compares these k-mers against a database of haplogroup-defining polymorphisms to classify mitochondrial genomes without sequence alignment or reference-based variant detection.