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Data Analysis and Visualization Challenges in Metagenomics

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Paola Favaretto, MathWorks

Metagenomics is the study of the taxonomic composition of a sample of organisms obtained from a common habitat. It usually consists of the comparison of the sequence samples against databases of known sequences and the use of taxonomy information to classify the sample species. The main goals of a metagenomic analysis include the quantification of the relative abundance of known species and the identification of unknown sequences for which no relatives have yet been identified.

Due to the exploratory nature of this research and the lack of customized software solutions for metagenomics, there are many challenges in this field. In this webinar, you will learn how MATLAB can help with metagenomics research. You will learn how MATLAB can be used for prototyping and customizing metagenomics solutions; you will see that MATLAB is interactive and supports an integrated environment which is ideal for exploratory research; and you will see built-in functions for graphics, statistics, and bioinformatics that are useful for metagenomics.

Product Focus

  • Bioinformatics Toolbox

Recorded: 15 Sep 2008