Metagenome SNP calling via read-colored de Bruijn graphs
Author(s) -
Bahar Alipanahi,
Martin D. Muggli,
Musa A. Jundi,
Noelle Noyes,
Christina Boucher
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa081
Subject(s) - metagenomics , resistome , de bruijn graph , computational biology , biology , microbiome , genome , de bruijn sequence , single nucleotide polymorphism , snp , genetics , gene , mobile genetic elements , genotype , mathematics , discrete mathematics
Metagenomics refers to the study of complex samples containing of genetic contents of multiple individual organisms and, thus, has been used to elucidate the microbiome and resistome of a complex sample. The microbiome refers to all microbial organisms in a sample, and the resistome refers to all of the antimicrobial resistance (AMR) genes in pathogenic and non-pathogenic bacteria. Single-nucleotide polymorphisms (SNPs) can be effectively used to 'fingerprint' specific organisms and genes within the microbiome and resistome and trace their movement across various samples. However, to effectively use these SNPs for this traceability, a scalable and accurate metagenomics SNP caller is needed. Moreover, such an SNP caller should not be reliant on reference genomes since 95% of microbial species is unculturable, making the determination of a reference genome extremely challenging. In this article, we address this need.
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