ParDRe: faster parallel duplicated reads removal tool for sequencing studies

Bibliographic citation

Jorge González-Domínguez, Bertil Schmidt; ParDRe: faster parallel duplicated reads removal tool for sequencing studies, Bioinformatics, Volume 32, Issue 10, 15 May 2016, Pages 1562–1564, https://doi.org/10.1093/bioinformatics/btw038

Type of academic work

Academic degree

Abstract

[Abstract] Summary: Current next generation sequencing technologies often generate duplicated or near-duplicated reads that (depending on the application scenario) do not provide any interesting biological information but can increase memory requirements and computational time of downstream analysis. In this work we present ParDRe , a de novo parallel tool to remove duplicated and near-duplicated reads through the clustering of Single-End or Paired-End sequences from fasta or fastq files. It uses a novel bitwise approach to compare the suffixes of DNA strings and employs hybrid MPI/multithreading to reduce runtime on multicore systems. We show that ParDRe is up to 27.29 times faster than Fulcrum (a representative state-of-the-art tool) on a platform with two 8-core Sandy-Bridge processors. Availability and implementation: Source code in C ++ and MPI running on Linux systems as well as a reference manual are available at https://sourceforge.net/projects/pardre/

Description

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record [insert complete citation information here] is available online at: https://doi.org/10.1093/bioinformatics/btw038

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