Codon based protein synthesis for breast cancer risk prediction through parallel computing

Distributed parallel computing have more advantages in large data processing. By the help of normally available single CPU, single-core computers, it is possible to perform distributed parallel processing by connecting the computers in a network. A computer which receives a job called as Coordinator, acts as the job manager that distributes jobs amongst the other computers. All the pre-processing and postprocessing is done on the coordinator processor. Subordinates refer to any one of the computers on the network that is not a coordinator. Protein and its DNA sequence analysis is one of the large data processing applications. DNA is the chemical in each of our cells that makes up the instructions for how our cells function. DNA translated as protein and get stability. Certain protein mutations can dramatically increase the risk for developing certain cancers. Here analyzing protein and DNA sequence refers analysis the sequence of amino acids and nucleic acid to check certain mutation in it. By analyzing protein and DNA sequence, can predict the current as well as future possibility for cancer. To predict accurate risk for breast cancer number of proteins and their DNAs need to be analysis. This is a time consuming process. In order to speed-up this process distributed parallel analysis of protein and DNA sequences to be performed. Here coordinator of the system distributes each protein and its DNA sequences to different subordinates in the distributed system. Subordinates calculate current and future local risk with the help of mutation table and codon translation rules then send it back to coordinator. Finally Coordinator calculates the overall risk and reports it. This system improves the speed and accuracy of protein and DNA sequence analysis process. But to predict the risk for breast cancer accurately, required number of breast cancer related proteins and their DNA sequence, it requires more cost.