/Microbial-bioinformatics-introductory-course-Material-2018

Course material for OPEN & REPRODUCIBLE MICROBIOME DATA ANALYSIS SPRING SCHOOL

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OPEN & REPRODUCIBLE MICROBIOME DATA ANALYSIS SPRING SCHOOL 2018

SPRING SCHOOL 2018

Three day spring school on basics of high throughput 16S rRNA gene sequencing data analysis. This spring school is organised in collaboration with VLAG graduate school, Laboratory of Microbiology, Laboratory of Systems and Synthetic Biology, Wageningen University & Research, the Netherlands and Department of Mathematics and Statistics University of Turku, Finland. This year it will be held at Wageningen University & Research. We will cover topics related to basics of sequencing and microbial community analysis. We will use NG-Tax and R based tools like Phyloseq, microbiome and ggplot2 for downstream data analysis and visualization.

For more information check the course website

Before starting please install

A bookdown book covering Day2 and Day3 topics can be found at this weblink: https://goo.gl/CPChhd

We welcome community contributions to this resource
These can be improvements to existing tutorials or additional topics such as:

  • Classifiers Random Forest, SVM, etc.
  • Advanced multivariate statistics.
  • Any other analysis related to microbial ecology.
    Create a pull request or send an email to Sudarshan Shetty at sudarshanshetty9@gmail.com

Citation
If you found this book useful, please cite: Shetty Sudarshan A, Lahti Leo, Hermes Gerben DA, & Hauke Smidt. (2018, September 27). Microbial bioinformatics introductory course material 2018 (Version 0.01). Zenodo. http://doi.org/10.5281/zenodo.1436630