Protein Cancer Genomics main driver nature of the mutation, which mutation is likely to be transformed mutant oncogene, tumor suppressor gene mutations, point mutations and pharmaceutical muteins, can be used mutation assessor prediction mutant
Mutations lead to disease modification only affects the biological function
The sequence library, library map, and public databases mutation RNAseq combined to form a combination of the database to find mutations. such as:
the dbSNP : genomic variation data in the database included
http://www.ncbi.nlm.nih.gov/projects/SNP/
SwissVar n- : Based UniProt mutations and disease database
http://swissvar.expasy.org/
CanProVar the n- : human cancer-specific mutation database
http://bioinfo.vanderbilt.edu/canprovar/
CHPP human chromosome proteome project is to integrate all known protein information, analyze protein encoded on chromosome case
EG : . 1 chromosome is not identified proteins:
No large-scale proteomics has saturation characteristics
Proteome and other omics diagram: