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Extreme Bioinformatics Stephen Montgomery Genetics Graduate Program, UBC Supervisor: Steven Jones.

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Presentation on theme: "Extreme Bioinformatics Stephen Montgomery Genetics Graduate Program, UBC Supervisor: Steven Jones."— Presentation transcript:

1 Extreme Bioinformatics Stephen Montgomery Genetics Graduate Program, UBC Supervisor: Steven Jones

2 Bioinformatics – Simple Concepts The application of computer science and engineering techniques to biological analysis. The creation of repeatable, reusable, intelligent software

3 Bioinformatics - Goals Drive biological analysis  Predict function  Deliver results Script-based developmentSystems-based development

4 Bioinformatics - Problems Audience (Language) Relevance Delivery Usable, Repeatable techniques BioinformaticianBiologist In silicoIn vivo

5 Bioinformatics - Challenges Create standards for practice  Identification of proven techniques  Simple methods to access techniques  Intuitive design  Repeatable  Adaptability  Presentable results Transitional technology

6 GENEREG Projects @ CMSGSC Sockeye Chinook

7 Sockeye Integrated platform for comparative genomics Montgomery S.B., Astakhova T., Bilenky M., Birney E., Hassel M., Melsopp C., Rak M., Robertson A.G., Sleumer M, Fu T., Siddiqui A. S., and Jones S.J.M., Sockeye: A 3D Environment for Comparative Genomics (accepted to Genome Research, 2003)

8 Sockeye

9 Sockeye - EnsEMBL Hubbard T. et al. 2002. The Ensembl genome database project Nucleic Acids Research Vol. 30, No. 1 38-41

10 Sockeye - Viewing Data

11 Sockeye – Annotation

12 Sockeye - Sequence

13 Sockeye - Regulation

14 Sockeye - Problems

15 Sockeye – Problems

16 Sockeye – Integration issues How to deliver state-of-the-art bioinformatics analysis to a broad spectrum of users How to be responsive and adaptable to algorithm development How to increase collaboration and shift responsibility and accountability to software developers.

17 Chinook A peer to peer bioinformatics analysis server.

18 Chinook - Design Easy to add new algorithms Easy to discover classes of algorithms Decentralized network Easy to run client application (either as plug-in or standalone) 3 rd party referencing Allow for dynamic algorithm updates Work across dynamic network

19 Chinook – Client perspective

20 Chinook – Loading…

21 Chinook – Service Discovery

22 Chinook – 3 rd party referencing

23 Chinook – Parameter Entry

24 Chinook – Job Submission

25 Chinook – Final Results

26 Chinook – Adding Services

27 Chinook – More info

28 Conclusions - Future Novel transitional technology is required to deliver bioinformatics to a broad category of users. Extreme bioinformatics = Adaptability, Extendibility, Repeatability, and Usability. Future Work 2004 – Applications to Regulatory Variation Detection.

29 Credit Sockeye  Tamara Astakhova  Misha Bilenky  Maik Hassel  James Kennedy  Keven Lin  Gordon Robertson  Monica Sleumer  Eddy Tsang Sockeye Management  Tony Fu  Asim Siddiqui  Steven Jones Chinook  Maik Hassel  James Kennedy Chinook Management  Tony Fu  Asim Siddiqui  Steven Jones Chinook Other  Jonathan Lim (CMMT)  Wyeth Wasserman (CMMT) Special Thanks  Yaron Butterfield  Christine Dahl  Martin Krzywinski  All the support from my numerous other fellow co-workers  Genome Canada THANKS!!!!!


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