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SUMMARY:Application of compressed sensing to biomolecular NMR spectroscopy
  - Mark Bostock\, Biochemistry Department\, Nietlispach laboratory
DTSTART:20180130T130000Z
DTEND:20180130T140000Z
UID:TALK100741@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:Reconstruction of incompletely sampled NMR data is an area of 
 considerable interest within Biomolecular NMR spectroscopy enabling improv
 ements in resolution with significant time savings\, and is attracting con
 siderable interest from mathematicians with the launch this year of an int
 ernational competition for reconstruction of undersampled NMR data support
 ed by Stanford Professor of Statistics\, David Donoho. Compressed sensing 
 (CS) reconstruction is a particularly popular method within NMR spectrosco
 py. We have a software package and accompanying GUI for CS reconstruction 
 in use and are looking to extend this further. Principally we are interest
 ed in (i) new and improved algorithms for biomolecular NMR (ii) incorparat
 ion of prior information in CS reconstructions (iii) understanding the opt
 imal sampling requirements for different experiments. The project could in
 corporate one or more of the above proposals. (iii) would require the furt
 her development of code to generate suitable sampling patterns for NMR dat
 a along with an accompanying GUI for ease of use by practising NMR spectro
 scopists.\n
LOCATION:MR3 Centre for Mathematical Sciences
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