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Benjamin Bolduc 2016. Quality Control of Reads Using Trimmomatic (Cyverse). protocols.io https://dx.doi.org/10.17504/protocols.io.gvybw7wCopy Citation Copied
URL: https://dx.doi.org/DOI:10.17504/protocols.io.gvybw7w
Authors: Benjamin Bolduc
Group: VERVE Net, Sullivan Lab, iVirus
Summary: A collection of protocols designed to guide the user in processing a viral metagenome from raw sequence data to assembly, and subsequent analysis. The user uses actual reads from Ocean Sampling Day (2014) and processes them entirely within Cyverse, a NSF-supported cyberinfrastructure.Quality trimming of reads is important!
Affiliations: The Ohio State University
Version: 1
Publication Date: 2016
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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