'Protein ontology' presentation slideshows

The Art of Building Useful Ontologies

The Art of Building Useful Ontologies. Barry Smith. where in the body ? where in the cell ?. where in the body ? where in the cell ?. what kind of organism ?. where in the body ? where in the cell ?. what kind of organism ?. what kind of disease process ?.

831 views • 77 slides

The Art of Building Useful Ontologies

The Art of Building Useful Ontologies. Barry Smith. where in the body ? where in the cell ?. where in the body ? where in the cell ?. what kind of organism ?. where in the body ? where in the cell ?. what kind of organism ?. what kind of disease process ?.

960 views • 77 slides

The Protein Ontology (PRO)

The Protein Ontology (PRO). Natalia Roberts University of Delaware roberts@dbi.udel.edu. Pathways Tools Workshop October 28, 2010. Outline. Introduction to the PRotein Ontology Consortium Framework Curation PRO Website PRO Entry Search and Browse Annotation. Outline.

648 views • 64 slides

517 views • 40 slides

Old biology data

A Guide to Ontology for the Pathologist of the Future Barry Smith http://ontology.buffalo.edu/smith. Old biology data. New biology data.

361 views • 26 slides

Literature Data Mining and Protein Ontology Development

Literature Data Mining and Protein Ontology Development. At the Protein Information Resource (PIR). Hu ZZ *, Mani I, Liu H, Hermoso V, Vijay-Shanker K, Nikolskaya A, Natale DA, and Wu CH ISMB 2005, Detroit, Michigan. June 29, 2005 Zhang-Zhi Hu, M.D. Senior Bioinformatics Scientist, PIR

271 views • 18 slides

Anastasia Nikolskaya PIR (Protein Information Resource) Georgetown University Medical Center

COMPLEMENTING GENE ONTOLOGY WITH PIRSF CLASSIFICATION-BASED PROTEIN ONTOLOGY. Anastasia Nikolskaya PIR (Protein Information Resource) Georgetown University Medical Center www.uniprot.org http://pir.georgetown.edu/. Why Protein Classification?.

295 views • 16 slides

Protein Data Integration through Ontologies

Protein Data Integration through Ontologies. Digital Ecosystems & Business Intelligence Institute, Curtin University of Technology, Perth, Australia http://www.debii.curtin.edu.au/. Outline. Existing Interoperability of Biological Data Inconsistency in Protein Data Sources

216 views • 12 slides

Cell Ontology 2.0

Cell Ontology 2.0 . Elimination of multiple is_a inheritance through instantiation of relationships to terms in outside ontologies, such as the GO cellular component, GO biological process, and the PATO phenotype ontologies.

76 views • 7 slides

Literature Data Mining and Protein Ontology Development at the Protein Information Resource (PIR)

UniProt. NCBI. UniProtKB UniRef90/50 PIR-PSD. Entrez Gene RefSeq GenPept. Name Filtering. Entity Recognition. Preprocessing. Highly Ambiguous Nonsensical Terms. Acronym detection. Name Extraction. Abstracts Full-Length Texts. Sentence extraction.

133 views • 1 slides