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Basic Applied Bioinformatics
book

Basic Applied Bioinformatics

by Chandra Sekhar Mukhopadhyay, Ratan Kumar Choudhary, Mir Asif Iquebal
November 2017
Intermediate to advanced
472 pages
11h 21m
English
Wiley-Blackwell
Content preview from Basic Applied Bioinformatics

CHAPTER 43Functional Annotation of Common Differentially Expressed Genes

GVPPSR Kumar, AP Sahoo and A Kumar

Animal Biotechnology Division, IVRI, UP, India

43.1 INTRODUCTION

Cuffdiff predicts Differentially Expressed Genes (DEGs) and gives the gene symbols in the output. However, EBSeq, DESeq2, and edgeR give the output of DEGs in Ensembl IDs. These Ensemble IDs are initially converted into gene symbols using g:Convert in g:Profiler. After conversion, it is always better to identify commonly differentially expressed genes across all the packages and further proceed with the analysis. The commonly predicted genes are identified by using the Venny package.

Flow diagram of Cuffdiff prediction of Differentially Expressed Genes (DEG) displaying light to dark shaded boxes giving the output of DEGs in Ensembl IDs.

FIGURE 43.1

Performing the functional annotation through g:Profiler database windows (top) with the excel window (bottom).

FIGURE 43.2

Diagram of 4 overlapping shaded ovals with numerical figures 115, 222, 318, 654, 1116, 875, 507, 1522, 838, 5, 4246, 123, 3, 203, and 26.

FIGURE 43.3

A total of 4246 commonly differentially expressed genes have been identified by all the packages in our analysis.

43.2 FUNCTIONAL ANNOTATION

Functional annotation is used to determine the gene ontology terms enriched in common differentially expressed genes. Gene ontology (GO) (Ashburner et al., 2000) is an in silico approach to amalgamate the methods of presenting the genes and gene product attributes over divergent species. Gene products are categorized into three categories (biological ...

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