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What are the top 10 algorithms in Bioinformatics
What are the key fields in genetics/proteomics/metabolomics that use deep computes to aid research?
For those fields identified above, what are the key algorithms used? SVM, Bayesian, spectral, clustering, search, matching, etc.
And for those algorithms, what are the key databases that function as the source and targets of the research?
For bioinformatics/biomedical researchers, we have an opportunity to collaborate and provide them with $500k worth of gear to test some new parallel algorithms. The data set sizes we are targeting are 1-10Tbytes and the computes we are targeting are 10-100PetaFlops. Roughly a 100PetaFlops is the compute power of a 100 processor cluster computing for a day.
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Replies to This Discussion
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Permalink Reply by Hans Wolters on
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I guess I reply with a question: what do you consider bioinformatics? Classical Bioinformatics still probably uses as top algorithms things such as BLAST, FASTA etc. if you expand the definition like you seemed to have done, then the picture changes.
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Permalink Reply by Theodore Omtzigt on -
Hans:
My interest is less specific to the bioinformatics label and more directed to finding/categorizing the best-known-methods currently deployed at a state of the art biotech, biomed, or pharma research group. Techniques surrounding high volume sequencers and spectrometers are particularly interesting as it represents both big data and deep computing. Also, techniques in molecular biology and evolutionary biology are of interest to me as well.
I am looking to connect with both algorithm researchers as well as as the actual science researchers. As I indicated we have a deep computing big data data warehouse system on which we want to test these best known methods, and we are willing to sponsor any researcher that can tax our system. -
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