High Throughput Protein Structure Annotation Using JYDE
Author Information
Author(s): Liam J. McGuffin, Richard T. Smith, Kevin Bryson, Søren-Aksel Sørensen, David T. Jones
Primary Institution: The BioCentre, University of Reading
Hypothesis
Can the JYDE system effectively distribute genomic-scale fold recognition jobs across multiple computer clusters?
Conclusion
The JYDE system can annotate 99.9% of the human proteome in less than 24 hours using over 500 CPUs from three independent Grid domains.
Supporting Evidence
- JYDE annotated 99.9% of the human proteome in under 24 hours.
- The system utilized over 500 CPUs from three independent Grid domains.
- Profile-profile methods like mGenTHREADER outperform sequence-profile methods in fold recognition.
Takeaway
The JYDE system helps scientists quickly understand the structure of proteins by using many computers at once, making it faster to analyze large amounts of data.
Methodology
The JYDE system was used to distribute fold recognition jobs across multiple clusters, utilizing the mGenTHREADER software for protein annotation.
Limitations
The current version of JYDE initializes many SSH sessions, which could be optimized for better performance.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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