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HANNIGAN GD, GRICE EA, ET AL. 2016. Script R1: Virome Contig and Sequencing Statistics. protocols.io dx.doi.org/10.17504/protocols.io.eh5bb86Copy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.eh5bb86
Authors: HANNIGAN GD, GRICE EA, ET AL.
Group: VERVE Net, Club Grice
Summary: This protocol outlines the analysis used to plot contig coverage statistics, as well as sequence count and length stats. We begin with visualizing contig length vs coverage. We then visualize the distributions of sequence counts per sample as a probability density plot (similar idea as a histogram), and then do the same for median sequence length. Based on the methods from the following publication:Hannigan, Geoffrey D., et al. "The Human Skin Double-Stranded DNA Virome: Topographical and Temporal Diversity, Genetic Enrichment, and Dynamic Associations with the Host Microbiome." mBio 6.5 (2015): e01578-15.
Associated Publications: Kindler L, Stoliartchouk A, Teytelman L, Hurwitz BL, Method-centered digital communities on protocols.io for fast-paced scientific innovation. F1000Research doi: 10.12688/f1000research.9453.2
Affiliations: DEPARTMENT OF DERMATOLOGY UNIVERSITY OF PENNSYLVANIA, DEPARTMENT OF DERMATOLOGY UNIVERSITY OF PENNSYLVANIA, DEPARTMENT OF DERMATOLOGY UNIVERSITY OF PENNSYLVANIA
External URL: http://mbio.asm.org/content/6/5/e01578-15.full
Version: 1
Publication Date: 2016
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Source: Protocols.io