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9 Future Challenges for Bioinformatics

9 Future Challenges for Bioinformatics. Adapted from an article by: E. Birney, C. Burge, and J. Fickett, Genome Technology , issue 17, Jan. 2002. 9 Future Challenges for Bioinformatics.

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9 Future Challenges for Bioinformatics

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  1. 9 Future Challenges for Bioinformatics Adapted from an article by: E. Birney, C. Burge, and J. Fickett, Genome Technology, issue 17, Jan. 2002

  2. 9 Future Challenges for Bioinformatics #1: Precise model of transcription initiation and termination: ability to predict where, when, and at what rate transcription will occur

  3. Endo16 Regulatory Network

  4. 9 Future Challenges for Bioinformatics #2: Precise model of RNAsplicing: ability to predict the splicing pattern of any primary transcript in any tissue

  5. 9 Future Challenges for Bioinformatics #3: Precise model of signal transduction pathways: ability to predict cellular responses to external stimuli

  6. EGF Recepter Signaling Pathway

  7. 9 Future Challenges for Bioinformatics #4: Precise model for the following binding interactions: • protein-DNA • protein-RNA • protein-protein • RNA-RNA

  8. Zinc Finger – DNA Binding

  9. 9 Future Challenges for Bioinformatics #5: Accurate ab initioRNA structure prediction

  10. SARS s2m RNA

  11. 9 Future Challenges for Bioinformatics #6: Accurate ab initioprotein structure prediction

  12. Structure of β-amylase

  13. 9 Future Challenges for Bioinformatics #7: Rational design of small molecule inhibitors of proteins

  14. Fasciculin Docked with AChE

  15. 9 Future Challenges for Bioinformatics #8: Development of gene ontologies: systematic ways to describe and predict the functions of any gene or protein

  16. 9 Future Challenges for Bioinformatics #9: Precise model of evolution: understanding exactly how biological sequences evolve

  17. HERV-K Retrovirus Insertions

  18. Other Challenges • Development: how do cells specialize? • Speciation: what is the mechanism? • Disease models:diagnosis, prognosis, treatment • Drug design:discovery, validation, development • Individualized medicine

  19. Relevant Math. & Comp. Sci. • Probability and statistics • Combinatorics • Information theory • Mathematical modeling • Algorithm design and analysis • Databases • Machine learning • Text mining, natural language processing • Image processing • User interfaces

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