MetLab: an in silico experimental design, simulation and validation tool for viral metagenomics studies

Authors

  • Martin Norling Bioinformatics Infrastructure for Life Sciences, Uppsala
  • Oskar Erik Karlsson SLU Global Bioinformatics Center, Department of Animal Breeding and Genetics (HGEN), SLU, Uppsala
  • Hadrien Gourlé SLU Global Bioinformatics Center, Department of Animal Breeding and Genetics (HGEN), SLU, Uppsala
  • Erik Bongcam-Rudloff SLU Global Bioinformatics Center, Department of Animal Breeding and Genetics (HGEN), SLU, Uppsala
  • Juliette Hayer SLU Global Bioinformatics Center, Department of Animal Breeding and Genetics (HGEN), SLU, Uppsala

DOI:

https://doi.org/10.14806/ej.21.A.823

Abstract

The use of metagenomics for detection and characterisation of viruses has several difficult steps, including high throughput sequencing and bioinformatics analysis. We present MetLab, a new program aimed at providing scientists with a simple baseline for experimental design and analysis of viral metagenomics.

EJ 21.A

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Published

2015-03-25

Issue

Vol. 21: Supplement A

Section

Posters

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