Preprocessing of Mass Spectrometry Proteomics Data on the Grid
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Protein complex prediction via cost-based clustering
Bioinformatics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Sharing mass spectrometry data in a grid-based distributed proteomics laboratory
Information Processing and Management: an International Journal
Concurrency and Computation: Practice & Experience - Progress of the Knowledge Grid (SKG2005)
Proceedings of the 2008 ACM symposium on Applied computing
| Hi-index | 0.00 |
Biomedical and bioinformatics applications manage and process huge datasets and are characterized by complex workflows involving the application of different algorithms and tools. In the last years the application of high-throughput technological platforms, such mass spectrometry or medical imaging, and the combined use of different databases (e.g. disease-specific databases), is producing an ever increasing volume of data that need to be processed in an efficient way. Thus, the need for scalable solutions at the different layers of biomedical/bioinformatics applications arises. The paper discusses some emerging scalable solutions for relevant biomedical and bioinformatics applications.