Lecture TÖ-2

Metagenomics and RNA-seq

Aims

• To give an overview about metagenomics and RNA sequencing using NGS.
• To give an overview of bioinformatical and statistical methods for metagenomics and RNA sequencing.

Objectives

After this lecture you will be able to:

• discuss how metagenomics can be used for describing the diversity in microbial communities;
• discuss how RNA sequencing can be used for gene expression profiling in biological samples;
• describe data analysis workflows for metagenomics and RNA-seq;
• explain how statistical methods for identification of differentially abundant/expressed genes.

Supplementary Material

Lecture slides

References

• Hugenholtz, P. and Tyson, G.W. (2008) Microbiology: Metagenomics. Nature, 455, 481-483 doi:10.1038/455481a
• Oulas, A., Pavloudi, C., Polymenakou, P., Pavlopoulos, G. A., Papanikolaou, N., Kotoulas, G., Arvanitidis, C. and Iliopoulos, I. (2015) Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies. Bioinformatics and biology insights, 9, 75-88 doi:10.4137/BBI.S12462