In this chapter, 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, meta-data specification, data provenance and data quality, and ontology are discussed here. These are the fundamental problems that need to be solved by the bioinformatics community so that modern information technology can have a deeper impact on the progress of biological discovery
Protein Data Integration approaches at the moment considers data sources as data repositories, but n...
peer reviewedThe field of proteomics is advancing rapidly as a result of powerful new technologies a...
Recent advances in various forms of omics technologies have generated huge amount of data. To fully ...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
In this paper, we consider the challenges of information integration in proteomics from the prospect...
The use of advanced high throughput technology applied to proteomics results in the production of la...
Abstract—The rapid development of genomics, proteomics, metabolomics and structural genomics techniq...
Presently, organizations make significant investments in biomedical data and information sources. Th...
Data integration is a key issue in the domain of bioin-formatics, which deals with huge amounts of h...
The bioscience field has seen some spectacular advances in genomic and proteomic technologies that a...
A broad range of tasks in modern bioinformatics analysis require integration of data from disparate ...
Abstract: The bioscience field has seen some spectacular advances in genomic and proteomic technolog...
Advances in technology and the growth of life sciences are generating ever increasing amounts of dat...
Proteomics is the study of proteins and their interactions in a cell. With the completion of the Hum...
Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain m...
Protein Data Integration approaches at the moment considers data sources as data repositories, but n...
peer reviewedThe field of proteomics is advancing rapidly as a result of powerful new technologies a...
Recent advances in various forms of omics technologies have generated huge amount of data. To fully ...
In this chapter, we consider the challenges of information integration in proteomics from the prospe...
In this paper, we consider the challenges of information integration in proteomics from the prospect...
The use of advanced high throughput technology applied to proteomics results in the production of la...
Abstract—The rapid development of genomics, proteomics, metabolomics and structural genomics techniq...
Presently, organizations make significant investments in biomedical data and information sources. Th...
Data integration is a key issue in the domain of bioin-formatics, which deals with huge amounts of h...
The bioscience field has seen some spectacular advances in genomic and proteomic technologies that a...
A broad range of tasks in modern bioinformatics analysis require integration of data from disparate ...
Abstract: The bioscience field has seen some spectacular advances in genomic and proteomic technolog...
Advances in technology and the growth of life sciences are generating ever increasing amounts of dat...
Proteomics is the study of proteins and their interactions in a cell. With the completion of the Hum...
Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain m...
Protein Data Integration approaches at the moment considers data sources as data repositories, but n...
peer reviewedThe field of proteomics is advancing rapidly as a result of powerful new technologies a...
Recent advances in various forms of omics technologies have generated huge amount of data. To fully ...