The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability

作者: Alexander D. Diehl , Terrence F. Meehan , Yvonne M. Bradford , Matthew H. Brush , Wasila M. Dahdul

DOI: 10.1186/S13326-016-0088-7

关键词:

摘要: The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, CL has undergone multiple rounds revision and expansion, most notably representation hematopoietic cells. For vivo cells, focuses on vertebrates but provides general classes that can be used for other metazoans, which subtyped species-specific ontologies. Recent work has focused extending various types, developing new modules itself, related ontologies coordination with CL. example, Kidney Urinary Pathway was as a template to populate additional In addition, subtypes class ‘cell vitro’ have received improved definitions labels provide modularity cells Line Reagent Ontology. changes development methodology include switch from OWL primary encoding ontology, increasing reliance logical reasoning. now mandated metadata standard large functional genomics transcriptomics projects, extensively annotation, querying, analyses type specific data sequencing consortia such FANTOM5 ENCODE, well NIAID ImmPort database Image Library. also vital component modular construction biomedical ontologies—for Gene cross-species anatomy Uberon, use support consistent types across different levels anatomical granularity, tissues organs. ongoing improvements make it valuable resource both community wider scientific community, we continue experience increased interest among developers within user community.

参考文章(67)
Csongor Nyulas, Natalya Noy, Tania Tudorache, Mark Musen, The ontology life cycle: Integrated tools for editing, publishing, peer review, and evolution of ontologies. american medical informatics association annual symposium. ,vol. 2010, pp. 552- 556 ,(2010)
Gene Ontology Consortium, None, Gene Ontology Consortium: going forward Nucleic Acids Research. ,vol. 43, ,(2015) , 10.1093/NAR/GKU1179
P. Mabee, J. P. Balhoff, W. M. Dahdul, H. Lapp, P. E. Midford, T. J. Vision, M. Westerfield, 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton Journal of Applied Ichthyology. ,vol. 28, pp. 300- 305 ,(2012) , 10.1111/J.1439-0426.2012.01985.X
Jonathan Bard, Seung Y Rhee, Michael Ashburner, An ontology for cell types Genome Biology. ,vol. 6, pp. 1- 5 ,(2005) , 10.1186/GB-2005-6-2-R21
Christopher J. Mungall, Nicole L. Washington, Jeremy Nguyen-Xuan, Christopher Condit, Damian Smedley, Sebastian Köhler, Tudor Groza, Kent Shefchek, Harry Hochheiser, Peter N. Robinson, Suzanna E. Lewis, Melissa A. Haendel, Use of Model Organism and Disease Databases to Support Matchmaking for Human Disease Gene Discovery Human Mutation. ,vol. 36, pp. 979- 984 ,(2015) , 10.1002/HUMU.22857
Holden T. Maecker, J. Philip McCoy, Robert Nussenblatt, Standardizing immunophenotyping for the Human Immunology Project Nature Reviews Immunology. ,vol. 12, pp. 191- 200 ,(2012) , 10.1038/NRI3158
Fantom Consortium, None, A promoter-level mammalian expression atlas Nature. ,vol. 507, pp. 462- 470 ,(2014) , 10.1038/NATURE13182
Yu Qian, Chungwen Wei, F Eun‐Hyung Lee, John Campbell, Jessica Halliley, Jamie A Lee, Jennifer Cai, Y Megan Kong, Eva Sadat, Elizabeth Thomson, Patrick Dunn, Adam C Seegmiller, Nitin J Karandikar, Christopher M Tipton, Tim Mosmann, Iñaki Sanz, Richard H Scheuermann, None, Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data Cytometry Part B-clinical Cytometry. ,vol. 78, ,(2010) , 10.1002/CYTO.B.20554
Wasila M. Dahdul, James P. Balhoff, Jeffrey Engeman, Terry Grande, Eric J. Hilton, Cartik Kothari, Hilmar Lapp, John G. Lundberg, Peter E. Midford, Todd J. Vision, Monte Westerfield, Paula M. Mabee, Evolutionary Characters, Phenotypes and Ontologies: Curating Data from the Systematic Biology Literature PLoS ONE. ,vol. 5, pp. e10708- ,(2010) , 10.1371/JOURNAL.PONE.0010708