TIGP Bioinformatics Program Orientation

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TIGP Bioinformatics Program Orientation

• Wen-Lian Hsu ???
• Institute of Information Science
• Academia Sinica

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Admission (special note)

• TOEFL 550 (213 on computer-based) or higher.
  However, the TOEFL score could be submitted
  later, but must be before 8/31 this year.
• GRE score from the general exam (no minimum
  requirement). However, an applicant may submit
  one of the following material in place of a GRE
  score
• Any evidence of research ability such as papers
  published in international conferences or
  journals.
• Satisfactory performance in any course or project
  work related to the design of algorithms or
  probability such as discrete mathematics,
  algorithms, computational complexity, data
  structure, probability, computer architecture,
  compiler, and computer programming

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BP - Cooperating Universities

• National Chiao Tung University
• Institute of Bioinformatics
• National Yang Ming University
• Institute of Bioinformatics
• Within Academia Sinica
• Institute of Information Science
• Institute of Biomedical Sciences
• Institute of Statistical Science

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Bioinformatics Program in Academia Sinica

• Four Research areas
• Computational biology
• Biological knowledge management
• Bioinformatics applications
• Computational structural biology
• We emphasize the study of computational
  techniques that can solve biologists problems or
  renovate biological experiments.

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Degree Requirement

• Publish at least two first-author papers in
  leading bioinformatics journals or conferences
• to be approved by the committee
• A thesis
• Successful defense of the thesis

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Bioinformatics - Research Areas (1)

• Four Research areas
• Biological knowledge management
• Computational biology
• Bioinformatics applications
• Computational proteomics
• We emphasize the study of computational
  techniques that can solve biologists problems or
  renovate biological experiments.
• Students find their advisor after one-year study
  in the program.

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Bioinformatics - Research Areas (2)

• Biological knowledge management
• Database integration
• pipeline automation
• Automation of a sequence of dry-lab experiments
  (database search)
• Visualization tools
• Biomedical literature mining
• To automatically retrieve relevant abstracts from
  PubMed
• To semi-automatically extract information from
  PubMed
• Pathway knowledge management (Yang Ming U)

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Bioinformatics - Research Areas (3)

• Computational biology
• Design various algorithms for
• sequence analysis
• gene prediction
• disease gene mapping
• motif finding
• gene networks
• Bioinformatics applications
• Using existing tools to analyze biological
  sequences, microarray data, proteomic data, etc.
• Statistical analysis and data mining techniques
  will be used to reach the goal of
  "information-driven biomedical research."

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Bioinformatics - Research Areas (4)

• Computational proteomics
• Structural bioinformatics
• protein secondary structure prediction
• Protein local structure prediction
• Protein tertiary structure prediction
• automated biomolecule docking
• molecular dynamics
• NMR structure determination
• Protein identification based on high-throughput
  mass spectrometry (MS) data
• MS/MS protein quantification