ºÝºÝߣshows by User: NeilWatson3 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: NeilWatson3 / Fri, 22 Jul 2016 11:10:48 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: NeilWatson3 SimLipid®: Software platform for automating Shotgun, LC-MS and MALDI-MS based high-throughput lipidomics /slideshow/simlipid-software-platform-for-automating-shotgun-lcms-and-maldims-based-highthroughput-lipidomics/64279795 slposter2016-handout1-160722111048
A combination of different approaches namely ‘Shotgun lipidomics’, LC-MS, and MALDI-TOF is often necessary to detect the whole lipidome of an organism. Each lipid class has its own fragmentation patterns as well as ionization efficiency [1], thereby making the interpretation of MS/MS lipid spectra a challenging task. Currently available software tools lack the ability to analyze data generated by all the mentioned approaches in a single platform. We have developed SimLipid® software to address this challenge.]]>

A combination of different approaches namely ‘Shotgun lipidomics’, LC-MS, and MALDI-TOF is often necessary to detect the whole lipidome of an organism. Each lipid class has its own fragmentation patterns as well as ionization efficiency [1], thereby making the interpretation of MS/MS lipid spectra a challenging task. Currently available software tools lack the ability to analyze data generated by all the mentioned approaches in a single platform. We have developed SimLipid® software to address this challenge.]]>
Fri, 22 Jul 2016 11:10:48 GMT /slideshow/simlipid-software-platform-for-automating-shotgun-lcms-and-maldims-based-highthroughput-lipidomics/64279795 NeilWatson3@slideshare.net(NeilWatson3) SimLipid®: Software platform for automating Shotgun, LC-MS and MALDI-MS based high-throughput lipidomics NeilWatson3 A combination of different approaches namely ‘Shotgun lipidomics’, LC-MS, and MALDI-TOF is often necessary to detect the whole lipidome of an organism. Each lipid class has its own fragmentation patterns as well as ionization efficiency [1], thereby making the interpretation of MS/MS lipid spectra a challenging task. Currently available software tools lack the ability to analyze data generated by all the mentioned approaches in a single platform. We have developed SimLipid® software to address this challenge. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slposter2016-handout1-160722111048-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A combination of different approaches namely ‘Shotgun lipidomics’, LC-MS, and MALDI-TOF is often necessary to detect the whole lipidome of an organism. Each lipid class has its own fragmentation patterns as well as ionization efficiency [1], thereby making the interpretation of MS/MS lipid spectra a challenging task. Currently available software tools lack the ability to analyze data generated by all the mentioned approaches in a single platform. We have developed SimLipid® software to address this challenge.
SimLipid速: Software platform for automating Shotgun, LC-MS and MALDI-MS based high-throughput lipidomics from Neil Watson
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