Impact of deep sequencing on hepatocellular carcinoma utilizing high-throughput technology

In this study, next-generation sequence (NGS) is utilized by applying OncoSNP-SEQ technique to a number of human chromosomes for analyzing hepatic cancer data that identify genome-wide mutations in copy number of the genomic information data. The outcomes referred to a certain number of chromosome aberrations detected with significant genes such as: SHC, TCP1, CCT3,SHC1, EPHA5, UGT2B28, UBE1L2, and also strike (CREB3L4, RAB1, MAGI2) genes which are discovered lately in 2013, tumor suppressorsSHC1 andCKS1B, LRP1B, as well as oncogeneUBE1L2, all of which may play a central role in cancer cell survival during the progress of metastases. Recently, the development of next-generation sequence empowers simultaneous assessment of copy number of hundred thousands of locales in a genome, more precise estimation of copy numbers, higher coverage, accurate confirmation of change points, and higher tendency to distinguish new alteration regions.
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - Category: Bioinformatics Source Type: research