Add to ORKGIn this paper, we consider the challenges of information integration in proteomics from the prospective of researchers using information technology as an integral part of their discovery process. Specifically, data integration, metadata specification, data provenance and data quality are discussed here. Here we review existing protein data integration methods and propose the use of common vocabulary for protein data integration using ontologies
The advances in information and communication technologies coupled with increased knowledge about ge...
The use of advanced high throughput technology applied to proteomics results in the production of la...
These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive ...
Protein Data Integration approaches at the moment considers data sources as data repositories, but n...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
Protein Ontology (PO) is a means of formalizing protein data and knowledge; protein ontology include...
Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain m...
Advances in proteomics and protein expression techniques have lead to the elucidation of large amoun...
The Protein Structural and Functional Conservation need a common language for data definition. With ...
Traditional approaches to integrate protein data generally involved keyword searches, which immediat...
Advances in technology and the growth of life sciences are generating ever increasing amounts of dat...
In this paper, we propose an approach to integrate protein information from various data sources by ...
Recent progress in proteomics, computational biology, and ontology development has presented an oppo...
Ontologies and controlled vocabularies are being established by many groups to provide roadmaps thro...
The advances in information and communication technologies coupled with increased knowledge about ge...
The use of advanced high throughput technology applied to proteomics results in the production of la...
These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive ...
Protein Data Integration approaches at the moment considers data sources as data repositories, but n...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
Protein Ontology (PO) is a means of formalizing protein data and knowledge; protein ontology include...
Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain m...
Advances in proteomics and protein expression techniques have lead to the elucidation of large amoun...
The Protein Structural and Functional Conservation need a common language for data definition. With ...
Traditional approaches to integrate protein data generally involved keyword searches, which immediat...
Advances in technology and the growth of life sciences are generating ever increasing amounts of dat...
In this paper, we propose an approach to integrate protein information from various data sources by ...
Recent progress in proteomics, computational biology, and ontology development has presented an oppo...
Ontologies and controlled vocabularies are being established by many groups to provide roadmaps thro...
The advances in information and communication technologies coupled with increased knowledge about ge...
The use of advanced high throughput technology applied to proteomics results in the production of la...
These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive ...