Uncovering hidden secondary metabolites from myxobacteria using high-resolution chromatography and mass spectrometry
| Type: | Application |
Poster |
Gen. Pharma & Chemistry, Metabolomics Studies |
| Number: | Technology |
ASMS 2010,MP14-340 |
UHR-TOF |
| Year | Products |
2010 |
maXis |
| Author | |
Daniel Krug1, Gabriela Zurek2, Niña Cortina1, Aiko Barsch², Sandy Yates3and Rolf Müller1 1Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS) and Universität des Saarlandes, Saarbrücken, Germany; 2Bruker Daltonik, Bremen, Germany; 3BrukerDaltonics, Fremont, CA |
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| Reference | |
ASMS 2010,MP14-340 |
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Abstract |
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Efficient detection of molecular features in high-resolution LC-MS datasets is a crucial prerequisite for the susequent mining of complex myxobacterial secondary metabolomes using statistical tools.
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