chinook: a collaborative system for bioinformatics analysis. rip talks @ the genome sciences centre...
Post on 19-Dec-2015
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Chinook: Acollaborative system for bioinformatics analysis.RIP Talks @ The Genome Sciences Centre Stephen Montgomery
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How is bioinformatics done?
Data and Innovation
Innovation
Requirements
Organization and Interpretation
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Each community has its own culture
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An interaction map of biologists and bioinformaticians
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Things get more complicated…
Organizational boundaries (EnsEMBL vs. UCSC) Access to different resources (computational, monetary) Time (where to start, what to use…) Different tools and user interfaces Overlap in integrative efforts (suite building) Communication efficacy (who you know…) Installation requirements Reliability and repeatability Attribution issues
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An improved interaction map of biologists and bioinformaticians
Improved Communication
Access to communitiesAccess to resources
Retain sub-organization
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A community-based approach to bioinformatics analysis
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Chinook overview
Use the principles of peer-to-peer technology Allow biologists to easily discover and run
bioinformatics tools Create a dynamic, reliable network for analysis Reduce overlapping integration efforts Address problems relevant to bioinformatics
Attribution Data management Resource distribution
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Discovering and Running jobs
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Discovering and Running jobs
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Monitoring jobs
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Server Information Panel
Static Service Entry Panel
Filter Pane
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Algorithms integrated into Chinook
ClustalW Genscan
Conreal Sim4
DIALIGN MSCAN
LAGAN ANN-Spec
Mauve Recursive Gibbs Motif Sampler
ORCA MEME
Shuffle-LAGAN Motifsampler
T-Coffee RSAT oligo analysis
Promoterwise STUBB
Primer3 Teiresias
Eponine wConsensus
ELPH
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Projects involving Chinook
OrthoSEQ provides analysis through the Chinook Perl API.
Sockeye uses Chinook to deliver state-of-the-art alignment, PCR prediction, and regulatory analysis
Pegasys plans to provide pipeline management to services advertised by Chinook.
Bio-Linux plans to integrate a subset of their algorithms.
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Use cases of Chinook
Grid/Cluster computing Internally connect teams / individuals Collaborate with remote individuals Provide an API layer to your algorithms Insert bioinformatics analysis into
applications
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Future Plans
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Acknowledgements
GENOME SCIENCES CENTRE Steve Jones Tony Fu Jun Guan Keven Lin
Asim Siddiqui Genereg team @ GSC
Mark Mayo Bernard Li
CENTRE FOR MOLECULAR MEDICINE AND THERAPEUTICS
Wyeth Wasserman Jonathan Lim
UBC BIOINFORMATICS CENTRE
Francis Ouellette Graham McVicker Sohrab Shah
Funding: MSFHR, Genome Canada