chapter  7
22 Pages

Data Standards in Proteomics: Promises and Challenges

Language for Electrophoresis Data .................................................153 7.6 Unifying Proteomics Data: Common

Data Repository............................................................................................157 7.6.1 Data Mining .....................................................................................157 7.6.2 Data Source ......................................................................................158 7.6.3 Data Annotation/Validation..............................................................158 7.6.4 Data Management and Archiving ....................................................159 7.6.5 Data Distribution..............................................................................160

7.7 Future Directions..........................................................................................160 Acknowledgment ...................................................................................................161 References..............................................................................................................161

Advances in genome sequencing have created an immense opportunity to understand, describe, and model whole living organisms. With the completion of the Human Genome Project, the postgenomic era has truly begun. This remarkable achievement,determining life’s blueprint, lays the groundworkfor a fundamental shift in how biological and biomedical researchwill be performed. However, the sequence of the human genome, though essential for understanding human genetics, provides limited insight into the actual working of the cell’s functional units-the proteins-and how cellular systems are integrated to form an entire organism. As a result, research focus is gradually shifting to the gene products, primarily proteins, and the overall biological systems in which they act, creating the emerging fields of systems biology and proteomics (Tyers and Mann, 2003).