Vorsitzender des Beirats und Vertreter im Leitungsgremium BayWISS Verbundkolleg „Life Sciences und Grüne Technologien“
Mitglied der Kommission Forschung der HSWT
Einrichtung
Zentrum für Forschung und Wissenstransfer
Publikationen
Zeitschriftenbeiträge
Dr. Michael Krappmann,
Meike Dlaboha,
Anna Girnghuber,
Dr. Linda Schrapp,
Martina Bauer,
Jan Käbel
Wissenschaftsmanagement auf Knopfdruck! Funktioniert das? Die Hochschule Weihenstephan-Triesdorf (HSWT) hat es vor über 10 Jahren gewagt, mit Weih.FIS ein eigenes System zu entwickeln, das über die Anforderungen eines reinen Forschungsinformationssystems (FIS) hinausgeht. Weih.FIS ist das Herz einer zentralen Wissenschaftsmanagementstruktur, in der digitale Workflows, Außendarstellung, Controlling, Steuerung und Strategie aus einem einzelnen System heraus erfolgen. In der täglichen Praxis erprobt, konnten trotz begrenzter Personalkapazitäten im Wissenschaftsmanagement erhebliche Zeit- und Ressourceneinsparungen umgesetzt und schlanke Prozesse für die gesamte Hochschule definiert werden. Die HSWT hat einen pragmatischen Weg beschritten, der mit der Implementierung eines Forschungsinformationssystems begann und als Ziel ein umfassendes Wissenschaftsmanagementsystem (WMS) hat.
Mehr
Dr. Michael Krappmann,
Arjen R. de Boer,
Daniël R. W. Kool,
Hubertus Irth,
PD Dr. Thomas Letzel
Berechtigungen: Peer Reviewed
Mass spectrometric real-time monitoring of an enzymatic phosphorylation assay using internal standards and data-handling freeware (2016) Rapid Communication in Mass Spectrometry 30 (8), S. 1019-1030.
DOI: 10.1002/rcm.7529
Dr. Michael Krappmann,
Prof. Dr. Frank Leßke,
PD Dr. Thomas Letzel,
Dipl. Ing. (FH) Marco Luthardt
Berechtigungen: Open Access
Berechtigungen: Peer Reviewed
The Software-Landscape in (Prote)Omic Research (2015) Journal of Proteomics & Bioinformatics 8 (7), S. 164-175.
DOI: 10.4172/jpb.1000365
(Bio)Informatics plays a major role in (prote)omic research experiments and applications. Analysis of an entire proteome including protein identification, protein quantification, detecting biological pathways, metabolite identification and others is not possible without software solutions for analyzing the resulting huge data sets. In the last decade plenty of software-tools, -platforms and databases have been developed by vendors of analytical hardware, as well as by freeware developers and the open source software community. Some of these software packages are very much specialized for one (omic) topic, as for example genomics, proteomics, interactomics or metabolomics. Other software tools and platforms can be applied in a more general manner, e.g. for generating workflows, or performing data conversion and data management, or statistics. Nowadays the main problem is not to find out a way, how to analyze the experimental data, but to identify the most suitable software for this purpose in the vast software-landscape. This review focuses on the following issue: How complex is the link between biology, analysis and (bio) informatics, and how complex is the variety of software tools to be used for scientific investigations, starting from microorganisms up to the detection of a proteome. Thereby the main emphasis is on the variety in software for (LC) MS(/MS) proteomics. In the World Wide Web sites like ExPASy show extensive lists of proteomics software, leaving it to the user to identify which software actually serves their purposes. First we consider the huge variability of software in the field of proteomics research. Then we take a closer look on the variability of MS data and the incompatibilities of software tools with respect to that. We give an overview over commonly used software technologies and finally end up with the question, whether open source software would not add more value to this field.
Dr. Michael Krappmann,
Christine M. Kaufmann,
Romy K. Scheerle,
Johanna Grassmann,
PD Dr. Thomas Letzel
Berechtigungen: Open Access
Berechtigungen: Peer Reviewed
Achroma Software-High-Quality Policy in (a-)Typical Mass Spectrometric Data Handling and Applied Functional Proteomics (2014) Journal of Proteomics & Bioinformatics 7 (9), S. 264-271.
DOI: 10.4172/jpb.1000328
Data evaluation of mass spectrometric raw data is an essential step to obtain high-quality results. In our days an exorbitant amount of raw data are produced in analytical (bio)chemistry due to the utilization of sophisticated experimental setups. The recently published free software Achroma has been developed to overcome increasing data processing challenges by providing the possibility of a comprehensive data analysis (http://openmasp.hswt.de/pages/project/achroma.php). To illustrate (a-)typical data evaluation, an online coupled continuous flow system hyphenated with mass spectrometric detection was applied to investigate enzymatic activity changes in the presence of regulatory molecules and alternative substrates. The extended software strategy, the processing as well as evaluation of data is presented in detail based on enzymatic assays of intestinal alkaline phosphatase (iAP) and acetylcholine esterase (AChE). Different Achroma data evaluation modules enabled a high quality analysis. This included the elucidation of enzymatic substrate preferences by means of the calculation of negative and positive peak areas as well as the identification of an inhibitory molecule by comparing different mass spectra with regard to their overall composition. The possibility of an automatically performed validity control to monitor the systems robustness furthermore emphasized the usefulness of Achroma software regarding its applicability in the area of 'functional proteomics' data handling.
Dr. Michael Krappmann,
PD Dr. Thomas Letzel
Berechtigungen: Peer Reviewed
Achroma: a software strategy for analysing (a-)typical mass-spectrometric data (2012) Analytical Methods (4), S. 1060-1071.
DOI: 10.1039/C2AY05622D
Dipl. Ing. (FH) Marco Luthardt,
Dr. Michael Krappmann,
N. Hoffmann,
P. Wenig
CDSclipse - Proposal for an open Chromatography Data System (2013) Contribution at the EclipseCon Europe, 29 - 31 October 2013 in Ludwigsburg - Deutschland .
Dr. Michael Krappmann,
Prof. Dr. Frank Leßke,
PD Dr. Thomas Letzel
Achroma - a software strategy for analysing (a-)typical mass spectrometric data (2013) Anakon-Tagung, 4. bis 7. März 2013, Essen - Deutschland .
Dipl. Ing. (FH) Marco Luthardt,
Dr. Michael Krappmann,
Prof. Dr. Frank Leßke,
PD Dr. Thomas Letzel
openMASP – high performance software technology for analytical chemistry (2012) Umweltsymposium, Leipzig - Deutschland .
Dr. Michael Krappmann,
Dipl. Ing. (FH) Marco Luthardt,
P. Wenig,
Prof. Dr. Frank Leßke,
PD Dr. Thomas Letzel
Cloudy Analytics – High Performance Software Technology for Analytical Chemistry (2011) 8. Langenauer Wasserforum, 07.-08.11.2011, Langenau - Deutschland .
Dr. Michael Krappmann,
PD Dr. Thomas Letzel
NEED NEW EXPERIMENTS NEW SOFTWARE SOLUTIONS? (2011) Anakon-Tagung, 22. bis 25. März 2011 in Zürich - Schweiz .
Beiträge in Monografien, Sammelwerken, Schriftenreihen
Dr. Michael Krappmann,
PD Dr. Thomas Letzel
Berechtigungen: Peer Reviewed
Chapter 11: Functional Analysis of Proteins, Including LC-MS and Special Freeware (2011) Book Chapter in Protein and Peptide Analysis by LC-MS: Experimental Strategies , S. 142-155.
DOI: 10.1039/9781849733144-00142
Wir verwenden Cookies. Einige sind notwendig für die Funktion der Webseite, andere helfen uns, die Webseite zu verbessern. Um unseren eigenen Ansprüchen beim Datenschutz gerecht zu werden, erfassen wir lediglich anonymisierte Nutzerdaten mit „Matomo“. Um unser Internetangebot für Sie ansprechender zu gestalten, binden wir außerdem externe Inhalte unserer Social-Media-Kanäle ein.
