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dc.contributor.author LeDuc, Richard D.
dc.contributor.author Wu, Le-Shin
dc.date.accessioned 2013-07-12T14:24:27Z
dc.date.available 2013-07-12T14:24:27Z
dc.date.issued 6/8/2013
dc.identifier.uri https://hdl.handle.net/2022/16680
dc.description Presented at the American Society for Mass Spectrometry Annual Conference, June 8-9, Minneapolis Minnesota en
dc.description.sponsorship This material is based upon work supported by the National Science Foundation under Grants No. ABI-1062432. This work was supported in part by the Lilly Endowment, Inc. and the Indiana University Pervasive Technology Institute. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the granting agencies. en
dc.language.iso en_US en
dc.rights Except where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). 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. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.subject ASMS NCGAS en
dc.title Using Prior Knowledge to Improve Scoring in High-Throughput Top-Down Proteomics Experiments en
dc.type Presentation en
dc.altmetrics.display true en


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Except where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). 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.

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