Technology dictates algorithms: recent developments in read alignment

Author:

Alser Mohammed,Rotman Jeremy,Deshpande Dhrithi,Taraszka Kodi,Shi Huwenbo,Baykal Pelin Icer,Yang Harry Taegyun,Xue Victor,Knyazev Sergey,Singer Benjamin D.,Balliu Brunilda,Koslicki David,Skums Pavel,Zelikovsky Alex,Alkan Can,Mutlu Onur,Mangul SergheiORCID

Abstract

AbstractAligning sequencing reads onto a reference is an essential step of the majority of genomic analysis pipelines. Computational algorithms for read alignment have evolved in accordance with technological advances, leading to today’s diverse array of alignment methods. We provide a systematic survey of algorithmic foundations and methodologies across 107 alignment methods, for both short and long reads. We provide a rigorous experimental evaluation of 11 read aligners to demonstrate the effect of these underlying algorithms on speed and efficiency of read alignment. We discuss how general alignment algorithms have been tailored to the specific needs of various domains in biology.

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

National Science Foundation

Molecular Basis of Disease

Intel Corporation

VMware

Publisher

Springer Science and Business Media LLC

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