DescriptionShotgun metagenomics become more and more popular for microbiologists. However, getting sequencing data is often much easier than analyzing it. In contrast to targeted approaches (e.g. 16S rRNA marker gene analysis), shotgun metagenomics can be analyzed by a countless list of bioinformatic tools and databases. This complexity is challenging, but there are several ways to facilitate data interpretation and formation of new hypotheses.
Here we will discuss several bioinformatic tools from a user’s perspective in the context of a built environment study. Gene and genome centric metagenomics will be presented in parallel. Pitfalls and challenges will be indicated at each step – from sequencing quality control over metagenomic binning until the annotation of draft genomes.
Therefore, this exemplary workflow can be of great value for your next analysis of shotgun metagenomics datasets.
|Period||11 Aug 2017|
|Held at||Northwestern University, United States, Illinois|
|Degree of Recognition||International|