GOATOOLS: A Python library for Gene Ontology analyses-Reference-Cited by-同舟云学术

GOATOOLS: A Python library for Gene Ontology analyses

Published:2018-07-18 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Klopfenstein D. V.,Zhang Liangsheng,Pedersen Brent S.,Ramírez Fidel,Warwick Vesztrocy Alex,Naldi Aurélien,Mungall Christopher J.,Yunes Jeffrey M.^ORCID,Botvinnik Olga,Weigel Mark,Dampier Will,Dessimoz Christophe,Flick Patrick,Tang Haibao^ORCID

Funder

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-28948-z.pdf

Reference31 articles.

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2. Chibucos, M. C. et al. Standardized description of scientific evidence using the evidence ontology (eco). Database 2014 (2014).

3. Consortium, G. O. et al. Expansion of the gene ontology knowledgebase and resources. Nucleic acids research 45, D331–D338 (2017).

4. Gjoneska, E. et al. Conserved epigenomic signals in mice and humans reveal immune basis of alzheimer/’s disease. Nature 518, 365–369 (2015).

5. Huang, D. W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative analysis of large gene lists using david bioinformatics resources. Nature protocols 4, 44 (2008).

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