Supporting data for "Monitoring changes in the Gene Ontology and their impact on genomic data analysis"

Dataset type: Genomic, Workflow, Metadata
Data released on August 06, 2018

Jacobson M; Sedeño-Cortés AE; Pavlidis P (2018): Supporting data for "Monitoring changes in the Gene Ontology and their impact on genomic data analysis" GigaScience Database. http://dx.doi.org/10.5524/100488

DOI10.5524/100488

The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of "enrichment analysis". To facilitate informed use of GO, we present GOTrack (https://gotrack.msl.ubc.ca), which provides access to historical records and trends in the Gene Ontology and GO annotations (GOA). GOTrack gives users access to gene- and term-level information on annotations for nine model organisms as well as an interactive tool that measures the stability of enrichment results over time for user-provided "hit lists" of genes. To document the effects of GO evolution on enrichment, we analyzed over 2500 published hit lists of human genes (most over 9 years old). 53% of hit lists were considered to yield significantly stable enrichment results. Because stability is far from assured for any individual hit list, GOTrack can lead to more informed and cautious application of GO to genomics research.

Additional details

Additional information:

https://gotrack.msl.ubc.ca

https://github.com/PavlidisLab/gotrack





File NameSample IDData TypeFile FormatSizeRelease Date 
mixed archiveTAR152.14 MB2018-07-30
GitHub archivezip2.17 MB2018-07-30
RdataRMD32.62 KB2018-07-30
ReadmeTEXT1.96 KB2018-07-30
mixed archiveTAR161.68 MB2018-07-30
Displaying 1-5 of 5 File(s).
Funding body Awardee Award ID Comments
National Institutes of Health P Pavlidis MH111099
Natural Sciences and Engineering Research Council of Canada P Pavlidis Discovery Grant Canadian Network for Research and Innovation in Machining Technology
Canadian Foundation for Innovation infrastructure P Pavlidis
Canadian Institutes of Health Research AE Sedeño-Cortés Training grant in Bioinformatics

Code Ocean:

Date Action
August 6, 2018 Dataset publish