Lindsay G Cowell
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Lindsay G Cowell has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Alexander D. Diehl
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
1 shared publication - Amina Abdulla
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
1 shared publication - Anna Maria Masci
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, USA
1 shared publication - Christopher John Mungall
Lawrence Berkeley National Laboratory, Berkeley, USA
1 shared publication - Judith A. Blake
The Jackson Laboratory, Bar Harbor, USA
1 shared publication - Terrence F. Meehan
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
1 shared publication
Latest Publications
- Open Access
- 5 January 2011
- Published by Springer Nature in BMC Bioinformatics
- Vol. 12 (1) , 6
Logical Development of the Cell Ontology
The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology computable, we can use automated reasoners to detect errors and assist with classification. Here we report on the generation of computable definitions for the hematopoietic cell types in the CL.
- 5 January 2011
- Published by Springer Nature in BMC Bioinformatics
- Vol. 12 (1) , 6
Open AccessLogical Development of the Cell Ontology
The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology computable, we can use automated reasoners to detect errors and assist with classification. Here we report on the generation of computable definitions for the hematopoietic cell types in the CL.