Extracting ecological signal from noise: introduction to tools for the analysis of NGS data from microbial communities, Bergen, April 19-20 2012

Summary

This intensive two-day course will provide an overview of AmpliconNoise and CREST - two important tools for the analysis of high throughput sequencing data from microbial communities.

Description

This intensive two-day course will provide an overview of AmpliconNoise and CREST - two important tools for the analysis of high throughput sequencing data from microbial communities. Participants should have introductory knowledge of with working with command line programs in the LINUX / UNIX operating system.

Bioinformatics has become a bottleneck for scientists applying molecular methods in microbial ecology. For high throughput sequencing, technologies have advanced more quickly than our ability to analyse the data.

Now, for the very first time, we see the emergence of technical and mathematical tools which are powerful enough to permit meaningful examination of the biological diversity of various environments using molecular methods. The new generation of massive parallel sequencing technology and a new generation of mathematical tools allow the rational exploration of the diversity of the microbial world

This participatory workshop will provide an overview of some important tools for the analysis of high throughput sequencing data from microbial communities. The topics covered will include:

  • Noise removal from pyrosequenced amplicons – AmpliconNoise
  • OTU Clustering and diversity estimation of amplicon data
  • Taxonomic classification of reads using CREST and MEGAN

 

The course is free of charge.

Place

Bergen, Høyteknologisenteret, Thormøhlensgt 55, ground floor, FLAB1 in the Data Block.

Prerequisites

Participants should have introductory knowledge of with working with command line programs in the LINUX / UNIX operating system.

Organizers

The FUGE Bioinformatics platform.

Contact Person(s)

Anders Lanzén (anders.lanzen@uni.no)

Number of Seats

17

Dates

Registration Start
30/3/2012
Registration End
17/4/2012
Course Start
Apr. 19, 2012 9:00 am
Course End
Apr. 20, 2012 4:00 pm
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