henhaobio
Sign in

PLoS Computational BiologyBioinformaticsPeer-reviewed journal article

HaploCart: Human mtDNA Haplogroup Classification Using a Pangenomic Reference Graph

Joshua Daniel RubiniD, Nicola Alexandra VogeliD, Shyam GopalakrishnaniD, Peter Wad SackettiD, Gabriel RenaudiD

PDFDOIPreprintCode

Abstract

Current mitochondrial DNA (mtDNA) haplogroup classification tools map reads to a single reference genome and perform inference based on the detected mutations to this reference. This approach biases haplogroup assignments towards the reference and prohibits accurate calculations of the uncertainty in assignment. We present HaploCart, an mtDNA haplogroup classifier which uses VGs pangenomic reference graph framework together with principles of Bayesian inference. We demonstrate that our approach significantly outperforms available tools by being more robust to lower coverage or incomplete consensus sequences and producing phylogenetically-aware confidence scores that are unbiased towards any haplogroup. HaploCart is available both as a command-line tool and through a user-friendly web interface. The program written in C++ accepts as input consensus FASTA, FASTQ, or GAM files, and outputs a text file with the haplogroup assignments along with confidence estimates. Our work considerably reduces the amount of data required to obtain a confident mitochondrial haplogroup assignment. HaploCart is available as a command-line tool at https://github.com/grenaud/vgan and as a web server at https://services.healthtech.dtu.dk/service. php?HaploCart.

Citations
27
FWCI
2.40
Field percentile
top 10%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGarcía‐Oliv '21Kim '20Bajić '24Weißenstein '21Hardie '26Maier '26
70% semantic matchGenomics
Víctor García‐Olivares, Adrián Muñoz‐Barrera, Jose Miguel Lorenzo-Salazar+7 more·Scientific Reports·Oct 15, 2021· 10 citations