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<i>Nubeam-dedup</i>: a fast and RAM-efficient tool to de-duplicate sequencing reads without mapping

Hang Dai, Yongtao Guan

2020Bioinformatics25 citationsDOIOpen Access PDF

Abstract

SUMMARY: We present Nubeam-dedup, a fast and RAM-efficient tool to de-duplicate sequencing reads without reference genome. Nubeam-dedup represents nucleotides by matrices, transforms reads into products of matrices, and based on which assigns a unique number to a read. Thus, duplicate reads can be efficiently removed by using a collisionless hash function. Compared with other state-of-the-art reference-free tools, Nubeam-dedup uses 50-70% of CPU time and 10-15% of RAM. AVAILABILITY AND IMPLEMENTATION: Source code in C++ and manual are available at https://github.com/daihang16/nubeamdedup and https://haplotype.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

Computer scienceHash functionReference genomeSource codeHash tableCode (set theory)AlgorithmDNA sequencingProgramming languageBiologyGeneticsDNASet (abstract data type)Genomics and Phylogenetic StudiesCancer Genomics and DiagnosticsEpigenetics and DNA Methylation
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