Unknown

Dataset Information

0

GraphAligner: rapid and versatile sequence-to-graph alignment.


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.

SUBMITTER: Rautiainen M 

PROVIDER: S-EPMC7513500 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

GraphAligner: rapid and versatile sequence-to-graph alignment.

Rautiainen Mikko M   Marschall Tobias T  

Genome biology 20200924 1


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, w  ...[more]

Similar Datasets

| S-EPMC6761980 | biostudies-literature
| S-EPMC8289385 | biostudies-literature
| S-EPMC3375188 | biostudies-literature
| S-EPMC3783189 | biostudies-literature
2024-10-10 | PXD050548 | Pride
| S-EPMC5136564 | biostudies-literature
| S-EPMC31274 | biostudies-literature
| S-EPMC7850047 | biostudies-literature
| S-EPMC10311300 | biostudies-literature
| S-EPMC8743544 | biostudies-literature