Optimizing sequencing protocols for leaderboard metagenomics by combining long and short reads

Optimizing sequencing protocols for leaderboard metagenomics by combining long and short reads

Abstract As metagenomic studies move to increasing numbers of samples, communities like the human gut may benefit more from the assembly of abundant microbes in many samples, rather than the exhaustive assembly of fewer samples. We term this approach leaderboard metagenome sequencing. To explore pro...

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Bibliographic Details
Main Authors: Jon G. Sanders, Sergey Nurk, Rodolfo A. Salido, Jeremiah Minich, Zhenjiang Z. Xu, Qiyun Zhu, Cameron Martino, Marcus Fedarko, Timothy D. Arthur, Feng Chen, Brigid S. Boland, Greg C. Humphrey, Caitriona Brennan, Karenina Sanders, James Gaffney, Kristen Jepsen, Mahdieh Khosroheidari, Cliff Green, Marlon Liyanage, Jason W. Dang, Vanessa V. Phelan, Robert A. Quinn, Anton Bankevich, John T. Chang, Tariq M. Rana, Douglas J. Conrad, William J. Sandborn, Larry Smarr, Pieter C. Dorrestein, Pavel A. Pevzner, Rob Knight
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Genome Biology
Subjects:
Leaderboard metagenome
Long reads
Benchmark
Assembly
Binning
Online Access:http://link.springer.com/article/10.1186/s13059-019-1834-9

Internet

http://link.springer.com/article/10.1186/s13059-019-1834-9

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