Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.
Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.
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DOI：
10.1038/s41598-018-23395-2
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发表时间：
2018-03-23
影响因子：
4.6
通讯作者：
Khatri P
中科院分区：
文献类型：
--
作者：
Tomczak A;Mortensen JM;Winnenburg R;Liu C;Alessi DT;Swamy V;Vallania F;Lofgren S;Haynes W;Shah NH;Musen MA;Khatri P
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the ontology and the annotations — evolve rapidly. We used gene signatures derived from 104 disease analyses to systematically evaluate how enrichment analysis results were affected by evolution of the GO over a decade. We found low consistency between enrichment analyses results obtained with early and more recent GO versions. Furthermore, there continues to be a strong annotation bias in the GO annotations where 58% of the annotations are for 16% of the human genes. Our analysis suggests that GO evolution may have affected the interpretation and possibly reproducibility of experiments over time. Hence, researchers must exercise caution when interpreting GO enrichment analyses and should reexamine previous analyses with the most recent GO version.
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影响因子：
4.3
作者：
Blake JA
通讯作者：
Blake JA
影响因子：
3.7
作者：
Gillis J;Pavlidis P
通讯作者：
Pavlidis P
影响因子：
64.8
作者：
通讯作者：
--
DOI：
10.1093/bioinformatics/btu472
发表时间：
2014-09-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Jiang Y;Clark WT;Friedberg I;Radivojac P
通讯作者：
Radivojac P
影响因子：
1.9
作者：
Clarke EL;Loguercio S;Good BM;Su AI
通讯作者：
Su AI