Research On Individual Human Genomics Data Management

The rapid development of next-generation sequencing technologies makes the large scale genomes study possible .With the process of the Thousand Genomes Project ,more and more individual human genomics will be sequenced. Aiming at the complex individual human sequences, a unified data model is proposed in this paper to describe the genomes data . A management system for individual human genomics is established to collect, store, analyze, manage as well as release the individual human genomics data. the system used XML technique to solve the isomerism problem existing in individual human genomics data. We reference the BioSeg sequence model to store the individual human genomics sequences. The model is composed of description and multi-dimensional array. The part of description represents annotations and other related information about sequence data and multi-dimensional array stores concrete sequence. Algebra operations on BioSeg which can implement query on individual human genomics sequence data.The system has constructes a local database based on the data warehousing concept and installs a UCSC Genome Browser mirror as the background server to fulfill the visualization of genome data. Besides the NCBI human annotations, SNPs, indels, inversion, structural and copy-number variations are shown on the basis of the exiting functional annotations in the browser either, resulting in significant convenience for the users to browse genome assemblies and study individual human sequence variation. On this basis, We have developed a Track and Session Management System to manage the track and session data which are related to the individual human genomics data.