Editing Final Report/Thesis 2019 (section)

===Methods===
To search the clinical effects of SNPs, the team developed a data mining program that collects information in SNP database. Python language was used for development since it is convenient for web development. The SNP database the project selected to use was dbSNP which is the largest database for nucleotide variations in the world, and is managed by the National Center for Biotechnology Information (NCBI). Figure 6.1 shows the information provided by dbSNP. The project team collected the clinical significance related to each rsid in Somerton Man's file.

[[File:dbSNP.png|thumb|600px|center|Figure 19:information of SNP rs12913832]]

The program extracted every non-empty SNP in Somerton Man's DNA reference file. With the API provided by dbSNP, connection to dbSNP was established and each rsid of the extracted SNP was sent. When the connection was successfully set up, dbSNP sent back the information of corresponding SNP in JSON format. The data sent back was analysed and clinical information such as genetic disease name associated with the SNPs was recorded.