Bioinformatics platform development for next generation bioinformation analysis

Bioinformatics platform development for next generation bioinformation analysis

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1. Enhancement of GiFlowDesigner

  1. Enhancement of the pipeline generating system
    1. Definition: When constituting one component, the convenience of user can be increased by showing the list of I/O modules which can be connected with, and successfully completed pipeline is reused as one module so that the productivity is improved.
    2. Development range:
      • The functionality of automatically recommending connected module
      • The modularization of created pipeline

        recommend

        Figure. An example of the automatic recommendation functionality

2. Developing the network-based advanced supercomputing technology

  1. Developing the technology of integrating heterogeneous clouds
    1. Definition: Recent cloud computing exists as multiple heterogeneous service environments provided by numerous managing entities. Therefore, the technology of integrating heterogeneous clouds based on network is necessary for high-capacity vital information analysis, and the various analyses can be processed with high speed through this technology.
    2. Development range:
      • Researching the technique of monitoring the status of application
      • Researching the technique of mapping from user’s SLA parameters to application

        monitoringtech

        Figure. The conceptual diagram of the technique of monitoring the application’s status

3. Establishment of the standard pipeline which is compatible with PGP, 1000 genome, etc.
By standardizing the format of genetic information from various platforms(454, Solexa, SoLid) and database(PGP, 1000. Genome), we establish the standard pipeline which is compatible with analysis algorithms and expand the applicability of various algorithms.

4. Developing the pipeline for analyzing genome, transcriptome, variome and epigenome
We develop and optimize the analysis algorithm according to various genome sequencings such as genome-wide(de novo, re-sequencing), transcriptome, epigenome, and so on. In addition, we establish the automated pipeline so that we develop the pipeline which can analyze diseases through the analysis of integrated human genetic information.

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  • heterogeneous many-core hardware system for UHPC


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Last update: 2017.09.11
Webmaster: iop851@kaist.ac.kr