Using expression data to help pathway curation
- 1 October 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 535-539
Abstract
Pathway models for organisms beyond the most popular model organisms are often notoriously incomplete, even for commercially important species such as gallus gallus. This can make experimental expression data hard to interpret. The paper describes ESCAPE [Experimental System for Curation Assistance of Pathways via Espression data], under development to use available expression data, along with existing orthology mappings and curated machine-interpretable pathways, to assist in rapidly curating new species-specific pathways. Some of these techniques can also be extended to help in the analysis of the expression data in a curated pathway context as well.Keywords
This publication has 11 references indexed in Scilit:
- D³ Data-Driven DocumentsIEEE Transactions on Visualization and Computer Graphics, 2011
- Reactome: a database of reactions, pathways and biological processesNucleic Acids Research, 2010
- Human and chicken TLR pathways: manual curation and computer-based orthology analysisMammalian Genome, 2010
- The Protein Ontology: a structured representation of protein forms and complexesNucleic Acids Research, 2010
- The BioPAX community standard for pathway data sharingNature Biotechnology, 2010
- Linked Data - The Story So FarInternational Journal on Semantic Web and Information Systems, 2009
- ABySS: A parallel assembler for short read sequence dataGenome Research, 2009
- Metabolic pathway alignment between species using a comprehensive and flexible similarity measureBMC Systems Biology, 2008
- An Evaluation of Triple-Store Technologies for Large Data Stores2007
- Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction DataJournal of Computational Biology, 2005