Litcius/Paper detail

GraphAligner: rapid and versatile sequence-to-graph alignment

Mikko Rautiainen, Tobias Marschall

2020Genome biology277 citationsDOIOpen Access PDF

Abstract

Genome graphs can represent genetic variation and sequence uncertainty. Aligning sequences to genome graphs is key to many applications, including error correction, genome assembly, and genotyping of variants in a pangenome graph. Yet, so far, this step is often prohibitively slow. We present GraphAligner, a tool for aligning long reads to genome graphs. Compared to the state-of-the-art tools, GraphAligner is 13x faster and uses 3x less memory. When employing GraphAligner for error correction, we find it to be more than twice as accurate and over 12x faster than extant tools.Availability: Package manager: https://anaconda.org/bioconda/graphaligner and source code: https://github.com/maickrau/GraphAligner.

Topics & Concepts

BiologyGenomeGenotypingSource codeExtant taxonSequence assemblyReference genomeComputational biologyGraphStructural variationComputer scienceGeneticsTheoretical computer scienceProgramming languageEvolutionary biologyGeneGenotypeGene expressionTranscriptomeGenomics and Phylogenetic StudiesChromosomal and Genetic VariationsCRISPR and Genetic Engineering