Marc Sturm
Publications
Sturm, M, Bertsch, A, Gröpl, C, Hildebrandt, A, Hussong, R, Lange, E, Pfeifer, N, Schulz-Trieglaff, O, Zerck, A, Reinert, K, and Kohlbacher, O
(2008).
OpenMS - An open-source software framework for mass spectrometry
BMC Bioinformatics 9:163.
Sturm, M, Quinten, S, Huber, CG, and Kohlbacher, O
(2007).
A statistical learning approach to the modeling of chromatographic retention of oligonucleotides incorporating sequence and secondary structure data
Nucl. Acids Res. 35(12):4195-4202.
Kohlbacher, O, Reinert, K, Gröpl, C, Lange, E, Pfeifer, N, Schulz-Trieglaff, O, and Sturm, M
(2007).
TOPP - The OpenMS Proteomics Pipeline
Bioinformatics 23(2):e191-e197.
Reinert , K, Kohlbacher , O, Gröpl, C, Lange , E, Schulz-Trieglaff, O, Sturm , M, and Pfeifer, N
(2006).
OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics
In: Computational Proteomics, edited by Christian G. Huber and Oliver Kohlbacher and Knut Reinert. Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany.
Mayr, B, Kohlbacher, O, Reinert, K, Sturm, M, Gröpl, C, Lange, E, Klein, C, and Huber, CG
(2006).
Absolute Myoglobin Quantitation in Serum by Combining Two-Dimensional Liquid Chromatography-Electrospray Ionization Mass Spectrometry and Novel Data Analysis Algorithms
J. Proteome Res. 5:414--421.
Sturm, M, Quinten, S, Huber, CG, and Kohlbacher, O
(2006).
A machine learning approach for prediction of DNA and peptide retention times
In: Proceedings of the Dagstuhl Seminar on Computational Proteomics 2005, edited by Christian Huber and Oliver Kohlbacher and Knut Reinert. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany.
Kohlbacher, O, Quinten, S, Sturm, M, Mayr, B, and Huber, C
(2006).
Structure-Activity Relationships in Chromatography: Retention Prediction of Oligonucleotides with Support Vector Regression
Angew. Chemie Int. Ed. 45(42):7009-7012.
Gröpl, C, Lange, E, Reinert, K, Kohlbacher, O, Sturm, M, Huber, C, Mayr, B, and Klein, C
(2005).
Algorithms for the automated absolute quantification of diagnostic markers in complex proteomics samples
In: Proceedings of the 1st Symposium on Computational Life Sciences (CLS 2005), edited by M. Berthold, R. Glen, K. Diederichs, O. Kohlbacher, I. Fischer. Springer LNBI 3695, pages 151--161.
Dönnes, P, Höglund, A, Sturm, M, Comtesse, N, Backes, C, Meese, E, Kohlbacher, O, and Lenhof, H
(2004).
Integrative analysis of cancer-related data using CAP
FASEB Journal 18(12):1465-1467.