FastRemap: a tool for quickly remapping reads between genome assemblies

Author:

Kim Jeremie S1ORCID,Firtina Can1ORCID,Cavlak Meryem Banu1,Senol Cali Damla2ORCID,Alkan Can3ORCID,Mutlu Onur13ORCID

Affiliation:

1. Department of Computer Engineering, ETH Zurich, D-ITET , Zurich 8006, Switzerland

2. Department of Computer Engineering, Bionano Genomics , San Diego, CA 92121, USA

3. Department of Computer Engineering, Bilkent University , Ankara 06800, Turkey

Abstract

Abstract Motivation A genome read dataset can be quickly and efficiently remapped from one reference to another similar reference (e.g., between two reference versions or two similar species) using a variety of tools, e.g., the commonly used CrossMap tool. With the explosion of available genomic datasets and references, high-performance remapping tools will be even more important for keeping up with the computational demands of genome assembly and analysis. Results We provide FastRemap, a fast and efficient tool for remapping reads between genome assemblies. FastRemap provides up to a 7.82× speedup (6.47×, on average) and uses as low as 61.7% (80.7%, on average) of the peak memory consumption compared to the state-of-the-art remapping tool, CrossMap. Availability and implementation FastRemap is written in C++. Source code and user manual are freely available at: github.com/CMU-SAFARI/FastRemap. Docker image available at: https://hub.docker.com/r/alkanlab/fastremap. Also available in Bioconda at: https://anaconda.org/bioconda/fastremap-bio.

Funder

Onur Mutlu's SAFARI Research

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference11 articles.

1. Segment_liftover: a python tool to convert segments between genome assemblies;Gao;F1000Res,2018

2. Bioconda: sustainable and comprehensive software distribution for the life sciences;Gruning;Nat. Methods,2018

3. The UCSC genome browser and associated tools;Kuhn;Briefings in Bioinformatics,2013

4. Strelka2: fast and accurate calling of germline and somatic variants;Kim;Nat. Methods,2018

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