Computational Methods for Functional Analysis of Gene Expression

Abstract

Sequencing projects arising from high throughput technologies including those of sequencing DNA microarrays allowed to simultaneously measure the expression levels of millions of genes of a biological sample as well as annotate and identify the role (function) of those genes. Consequently, to better manage and organize this significant amount of information, bioinformatics approaches have been developed. These approaches provide a representation and a more 'relevant' integration of data in order to test and validate the hypothesis of researchers throughout the experimental cycle. In this context, this article describes and discusses some of techniques used for the functional analysis of gene expression data.

2 Figures and Tables

Cite this paper

@inproceedings{Fyad2016ComputationalMF, title={Computational Methods for Functional Analysis of Gene Expression}, author={Houda Fyad and Fatiha Barigou and Karim Bouamrane and Ahmed Ben Bella}, year={2016} }