Functional enrichment analysis

Manda, S and Michael, D and Jadhao, S and Nagaraj, SH (2018) Functional enrichment analysis. [Book Chapter]

PDF Enc_bio_com_2018.pdf - Published Version Restricted to Registered users only Download (2MB)

Abstract

The advent of high-throughput technologies has resulted in the generation of unprecedented large-scale datasets. Analysis and interpretation of these massive datasets requires multiple complementary analysis strategies. Recently, several methods and tools have been developed to analyze and filter these datasets in order to generate smaller, more meaningful and biologically relevant lists of genes/proteins. Functional enrichment analysis is one such method of identifying enriched genes in the datasets of interest for molecular functions, biological processes and pathways. Functional enrichment enables us to focus on specific genes of interest or on a particular biological question. This article describes different methods and some of the popular tools that are available to perform functional enrichment analyses. Using a high-throughput dataset as an example, we outline the steps involved in performing a functional enrichment analysis. © 2019 Elsevier Inc. All rights reserved.

Item Type:	Book Chapter
Publication:	Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics
Publisher:	Elsevier
Additional Information:	The copyright for this article belongs to publisher
Department/Centre:	Division of Biological Sciences > Molecular Biophysics Unit
Date Deposited:	13 Sep 2022 06:38
Last Modified:	13 Sep 2022 06:38
URI:	https://eprints.iisc.ac.in/id/eprint/75731

Actions (login required)

View Item