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    • Capturing sequence diversity in metagenomes with comprehensive and scalable probe design 

      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; Matranga, Christian B. (Springer Science and Business Media LLC, 2019-02)
      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 ...