Article
Capturing sequence diversity in metagenomes with comprehensive and scalable probe design.
Nature biotechnology - 1 Feb 2019
Metsky Hayden C, Siddle Katherine J, Gladden-Young Adrianne, Qu James, Yang David K, Brehio Patrick, Goldfarb Andrew, Piantadosi Anne, Wohl Shirlee, Carter Amber, Lin Aaron E, Barnes Kayla G, Tully Damien C, Corleis Bjӧrn, Hennigan Scott, Barbosa-Lima Giselle, Vieira Yasmine R, Paul Lauren M, Tan Amanda L, Garcia Kimberly F, Parham Leda A, Odia Ikponmwosa, Eromon Philomena, Folarin Onikepe A, Goba Augustine, Simon-Lorière Etienne, Hensley Lisa, Balmaseda Angel, Harris Eva, Kwon Douglas S, Allen Todd M, Runstadler Jonathan A, Smole Sandra, Bozza Fernando A, Souza Thiago M L, Isern Sharon, Michael Scott F, Lorenzana Ivette, Gehrke Lee, Bosch Irene, Ebel Gregory, Grant Donald S, Happi Christian T, Park Daniel J, Gnirke Andreas, Sabeti Pardis C, Matranga Christian B
Abstract excerpt
Metagenomic sequencing has the potential to transform microbial detection and characterization, but new tools are needed to improve its sensitivity. Here we present CATCH, a computational method to enhance nucleic acid capture for enrichment of diverse microbial taxa. CATCH designs optimal probe sets, with a specified number of oligonucleotides, that achieve full coverage of, and scale well with, known sequence...
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