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Technology dictates algorithms: recent developments in read alignment

Aligning 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...

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Detalles Bibliográficos
Autores principales: 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, Serghei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390189/
https://www.ncbi.nlm.nih.gov/pubmed/34446078
http://dx.doi.org/10.1186/s13059-021-02443-7
Descripción
Sumario:Aligning 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02443-7.