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Combining Disparate Data Types: Protein Sequences and Protein Structures

Нere are many opportunities from combining disparate types of data. Нe example below is the investigation of protein variability and evolution by combining protein structures with sequences. Нe many large-scale genome sequencing projects and the advent of individual organism and metagenome sequencing is starting to accumulate in the enormous numbers of protein sequences. In some cases there are tens of thousands of sequences related to a single protein. Together with the 100,000+ structures in the Protein Data Base (PDB), this remarkable data for comprehending the important structural and sequence relationships. Understanding sequence conservation is obviously important for the understanding of protein evolution and ultimately for understanding phenomics. 

Citation: Kejue Jia and Robert L. Jernigan (2015) Combining Disparate Data Types: Protein Sequences and Protein Structures. J Data Mining Genomics Proteomics 6:e117. doi: 10.4172/2153-0602.1000e117

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