Details

Autor(en) / Beteiligte

• 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

Titel

Technology dictates algorithms: recent developments in read alignment

Ist Teil von

• Genome Biology, 2021-08, Vol.22 (1), p.249-249, Article 249

Ort / Verlag

England: BioMed Central

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.