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Paper Details

Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases.
mSystems
2
2022
FPGAs, adaptor, microbial DNA
Algorithms, Computational Biology, High-Throughput Nucleotide Sequencing, Metagenomics, Software
Author NameAffiliation
George ArmstrongUniversity of California
George ArmstrongUniversity of California
Cameron MartinoUniversity of California
Cameron MartinoUniversity of California
Cameron MartinoCenter for Microbiome Innovation, University of California San Diego
Justin MorrisSan Diego State University
Justin MorrisUniversity of California San Diego
Behnam KhaleghiUniversity of California San Diego
Jaeyoung KangUniversity of California San Diego
Jeff DeReusUniversity of California
Jeff DeReusCenter for Microbiome Innovation, University of California San Diego
Qiyun ZhuArizona State Universitygrid.215654.1
Qiyun ZhuBiodesign Center for Fundamental and Applied Microbiomics, Arizona State Universitygrid.215654.1
Daniel RoushArizona State Universitygrid.215654.1
Daniel RoushBiodesign Center for Fundamental and Applied Microbiomics, Arizona State Universitygrid.215654.1
Daniel McDonaldUniversity of California
Antonio GonazlezUniversity of California
Justin P ShafferUniversity of California
Carolina CarpenterCenter for Microbiome Innovation, University of California San Diego
Carolina CarpenterScripps Institution of Oceanography, University of California San Diego
Mehrbod EstakiUniversity of California
Stephen WandroCenter for Microbiome Innovation, University of California San Diego
Sean EilertInc.
Ameen AkelInc.
Justin EnoInc.
Ken CurewitzInc.
Austin D SwaffordCenter for Microbiome Innovation, University of California San Diego
Niema MoshiriUniversity of California San Diego
Tajana RosingCenter for Microbiome Innovation, University of California San Diego
Tajana RosingUniversity of California San Diego
Tajana RosingUniversity of California San Diego
Rob KnightUniversity of California
Rob KnightUniversity of California San Diego
Rob KnightUniversity of California
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