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Your search keyword '"Rasche, Florian"' showing total 23 results
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23 results on '"Rasche, Florian"'

1. Finding Maximum Colorful Subtrees in Practice

Author

Rauf, Imran, Rasche, Florian, Nicolas, François, Böcker, Sebastian, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, and Chor, Benny, editor

Published
2012
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2. Computing Fragmentation Trees from Metabolite Multiple Mass Spectrometry Data

Author

Scheubert, Kerstin, Hufsky, Franziska, Rasche, Florian, Böcker, Sebastian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, Bafna, Vineet, editor, and Sahinalp, S. Cenk, editor

Published
2011
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3. Annotating Fragmentation Patterns

Author

Böcker, Sebastian, Rasche, Florian, Steijger, Tamara, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, Salzberg, Steven L., editor, and Warnow, Tandy, editor

Published
2009
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4. Determination of Glycan Structure from Tandem Mass Spectra

Author

Böcker, Sebastian, Kehr, Birte, Rasche, Florian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Ngo, Hung Q., editor

Published
2009
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6. Retrospective analysis of efficacy, safety, prognostic parameters and factors regarding quality of life of the topic immunotherapy of alopecia areata with diphenylcyclopropenone

Author

Rasche, Florian

Subjects
Alopecia areata, ddc:610
Abstract

Diese retrospektive Analyse untersucht die Behandlung von Patienten mit Alopecia areata in der Klinik und Poliklinik für Dermatologie, Venerologie und Allergologie der Universitätsklinik Würzburg mit Diphenylcyclopropenon und beleuchtet Faktoren der durch die Behandlung beeinflussten Lebensqualität., This study evaluates the efficacy of the treatment of alopecia areata in the dermatology department of the university clinic in Würzburg, Germany and shows prognostic factors that may be detrimental in regards to a positive outcome. Furthermore, the influence of the therapy's side-effects on everyday life are shown.

Published
2021

13. Towards de novo identification of metabolites by analyzing tandem mass spectra

Author

B��cker, Sebastian and Rasche, Florian

Subjects
Tandem mass spectrometry, de novo interpretation, metabolomics
Abstract

Mass spectrometry is among the most widely used technologies in proteomics and metabolomics. For metabolites, de novo interpretation of spectra is even more important than for protein data, because metabolite spectra databases cover only a small fraction of naturally occurring metabolites. In this work, we analyze a method for fully automated de novo identification of metabolites from tandem mass spectra. Mass spectrometry data is usually assumed to be insufficient for identification of molecular structures, so we want to estimate the molecular formula of the unknown metabolite, a crucial step for its identification. This is achieved by calculating the possible formulas of the fragment peaks and then reconstructing the most likely fragmentation tree from this information. We present tests on real mass spectra showing that our algorithms solve the reconstruction problem suitably fast and provide excellent results: For all 32 test compounds the correct solution was among the top five suggestions, for 26 compounds the first suggestion of the exact algorithm was correct.

Published
2008
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14. Towards de novo identification of metabolites by analyzing tandem mass spectra

Author

Rasche, Florian and Rasche, Florian

Abstract

Mass spectrometry is among the most widely used technologies in proteomics and metabolomics. For metabolites, de novo interpretation of spectra is even more important than for protein data, because metabolite spectra databases cover only a small fraction of naturally occurring metabolites. In this work, we analyze a method for fully automated de novo identification of metabolites from tandem mass spectra. Mass spectrometry data is usually assumed to be insufficient for identification of molecular structures, so we want to estimate the molecular formula of the unknown metabolite, a crucial step for its identification. This is achieved by calculating the possible formulas of the fragment peaks and then reconstructing the most likely fragmentation tree from this information. We present tests on real mass spectra showing that our algorithms solve the reconstruction problem suitably fast and provide excellent results: For all 32 test compounds the correct solution was among the top five suggestions, for 26 compounds the first suggestion of the exact algorithm was correct.

Published
2008
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15. Towards de novo identification of metabolites by analyzing tandem mass spectra

Author

Sebastian Böcker and Florian Rasche, Böcker, Sebastian, Rasche, Florian, Sebastian Böcker and Florian Rasche, Böcker, Sebastian, and Rasche, Florian

Abstract

Mass spectrometry is among the most widely used technologies in proteomics and metabolomics. For metabolites, de novo interpretation of spectra is even more important than for protein data, because metabolite spectra databases cover only a small fraction of naturally occurring metabolites. In this work, we analyze a method for fully automated de novo identification of metabolites from tandem mass spectra. Mass spectrometry data is usually assumed to be insufficient for identification of molecular structures, so we want to estimate the molecular formula of the unknown metabolite, a crucial step for its identification. This is achieved by calculating the possible formulas of the fragment peaks and then reconstructing the most likely fragmentation tree from this information. We present tests on real mass spectra showing that our algorithms solve the reconstruction problem suitably fast and provide excellent results: For all 32 test compounds the correct solution was among the top five suggestions, for 26 compounds the first suggestion of the exact algorithm was correct.

Published
2008
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22. Computing Fragmentation Trees from Tandem Mass Spectrometry Data.

Author

Rasche, Florian, Svatoš, Aleš, Maddula, Ravi Kumar, Böttcher, Christoph, and Böcker, Sebastian

Subjects
*SPECTRUM analysis, *MASS spectrometry, *ORGANIC chemistry, *ORGANIC compounds, *CHEMICAL detectors, *ANALYTICAL chemistry
Abstract

The structural elucidation of organic compounds in complex biofluids and tissues remains a significant analytical challenge. For mass spectrometry, the manual interpretation of collision-induced dissociation (CID) mass spectra is cumbersome and requires expert knowledge, as the fragmentation mechanisms of ions formed from small molecules are not completely understood. The automated identification of compounds is generally limited to searching in spectral libraries. Here, we present a method for interpreting the CID spectra of the organic compounds protonated ions by computing fragmentation trees that establish not only the molecular formula of the compound and all fragment ions but also the dependencies between fragment ions. This is an important step toward the automated identification of unknowns from the CID spectra of compounds that are not in any database. [ABSTRACT FROM AUTHOR]

Published
2011
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23. Determination of Glycan Structure from Tandem Mass Spectra.

Author

Bocker, Sebastian, Kehr, Birte, and Rasche, Florian

Abstract

Glycans are molecules made from simple sugars that form complex tree structures. Glycans constitute one of the most important protein modifications and identification of glycans remains a pressing problem in biology. Unfortunately, the structure of glycans is hard to predict from the genome sequence of an organism. In this paper, we consider the problem of deriving the topology of a glycan solely from tandem mass spectrometry (MS) data. We study, how to generate glycan tree candidates that sufficiently match the sample mass spectrum, avoiding the combinatorial explosion of glycan structures. Unfortunately, the resulting problem is known to be computationally hard. We present an efficient exact algorithm for this problem based on fixed-parameter algorithmics that can process a spectrum in a matter of seconds. We also report some preliminary results of our method on experimental data, combining it with a preliminary candidate evaluation scheme. We show that our approach is fast in applications, and that we can reach very well de novo identification results. Finally, we show how to count the number of glycan topologies for a fixed size or a fixed mass. We generalize this result to count the number of (labeled) trees with bounded out degree, improving on results obtained using Pólya's enumeration theorem. [ABSTRACT FROM PUBLISHER]

Published
2011
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