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Gene ontology (GO) term enrichment analysis

WC Won Kyong Cho
HK Hye‐In Kim
SP Seung Hye Paek
SK Soo‐Yun Kim
HS Hyo Hyun Seo
JS Jihyeok Song
OL Ok Hwa Lee
JM Jiae Min
SL Sang Jun Lee
YJ Yeonhwa Jo
HC Hoseong Choi
JL Jeong Hun Lee
SM Sang Hyun Moh
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To identify enriched functions for DEGs, the identified DEGs were divided into two groups: upregulated genes (161 transcripts) and downregulated genes (93 transcripts). The DEGs in the two different groups were subjected to the WEB‐based GEne SeT AnaLysis Toolkit (WebGestalt) (http://www.webgestalt.org/) for GO term enrichment analysis [25]. We identified enriched GO terms group according to biological from the GO database for each process (BP), cellular component (CC), and molecular function (MF). Significantly enriched GO terms in each group were visualized by a directed acyclic graph (DAG) structure generated by WebGestalt. We also identified overrepresented pathways for the DEGs against five different databases (KEGG, Panther, Reactome, WikiPathways, and WikiPathways Cancer) using WebGestalt.

Copyright and License information:  ©2021 The Authors. published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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