Benchmarking of computational error-correction methods for next-generation sequencing data

Benchmarking of computational error-correction methods for next-generation sequencing data

Abstract Background Recent advancements in next-generation sequencing have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data still risk confounding downstream analysis and limiting...

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Bibliographic Details
Main Authors: Keith Mitchell, Jaqueline J. Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry Taegyun Yang, Kevin Hsieh, Linus Chen, Eli Littman, Taylor Shabani, German Enik, Douglas Yao, Ren Sun, Jan Schroeder, Eleazar Eskin, Alex Zelikovsky, Pavel Skums, Mihai Pop, Serghei Mangul
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-020-01988-3

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http://link.springer.com/article/10.1186/s13059-020-01988-3

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