Gene ontology (GO) enrichment analysis results for significantly upregulated genes at all time points

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S

, Sutherland, JS

, Winter, J, Kuivaniemi, H

, Walzl, G and Tromp, G

(2022). Gene ontology (GO) enrichment analysis results for significantly upregulated genes at all time points. [Dataset]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s003

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The analysis was performed using the topGO R Bioconductor package. The statistical metrics presented for each process include: the total number of genes annotated to the process (Total annotated), the number of genes that were significantly up (N up) -regulated, the percent of total annotated that were up-regulated (% Up) and the number that were expected by chance (Expected). The uncorrected Fisher’s exact test p-value (Pvalue) and overall rank for over-representation of the GO term in the set using both the classic and weight01 (W1) algorithms are presented.

Keywords

Tuberculosis diagnosis and management, Neutrophils, Tuberculosis Catalysis, Platelets, Mycobacterium tuberculosis, Gene expression, Gene ontologies

Item Type	Dataset
Capture method	Unknown
Date	1 December 2022
Language(s) of written materials	English
Creator(s)	Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS , Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G
LSHTM Faculty/Department	MRC Unit The Gambia at LSHTM
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	12 Dec 2022 10:58
Last Modified	12 Dec 2022 10:58
Publisher	PLOS ONE