Leveraging the National Cyberinfrastructure for Top Down Mass Spectrometry Richard LeDuc.

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Presentation transcript:

Leveraging the National Cyberinfrastructure for Top Down Mass Spectrometry Richard LeDuc

High Throughput Observations Automation requires rules. One mistake can destroy the whole experiment. Variation is your friend!

Top Down Proteomics Biometrics Sources of 1.Intensity calculation 2.LC alignment 3.Mass Spec Physics 4.Separation Different fractions etc. 5.Protein Isolation ChIP, RBC ghosts etc 6.Tissue variation 7.Individual variation 8.Population variation 9.Random and systemic errors

Cranking it up to 11 Compute does not limit your science! If you do not happen to be at an institution with a petaflop supercomputer, use the national cyberinfrastructure. XSEDE or NCGAS, iPlant etc.

Acknowledgements & disclaimer This material is based upon work supported by the National Science Foundation under Grants No. ABI This work was supported in part by the Lilly Endowment, Inc. and the Indiana University Pervasive Technology Institute Any opinions presented here are those of the presenter(s) and do not necessarily represent the opinions of the National Science Foundation or any other funding agencies

License terms Please cite as: LeDuc, R.D., Leveraging the National Cyberinfrastructure for Top Down Mass Spectrometry, presented at Consortium for Top Down Proteomics Meeting at ASMS 2013 Minneapolis MN June Items indicated with a © are under copyright and used here with permission. Such items may not be reused without permission from the holder of copyright except where license terms noted on a slide permit reuse. Except where otherwise noted, contents of this presentation are copyright 2013 by the Trustees of Indiana University. This document is released under the Creative Commons Attribution 3.0 Unported license ( This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work.