Experience

09/12- today Scientist at the chair for bioinformatics (Prof. Burkhard Rost)

04/10- 09/12 Secretary oft the Munich Bioinformatics Program, associated scientist with the chair for bioinformatics (Prof. Burkhard Rost)

03/10-05/07 Academic head of the financial office at the Institut für Informatik,

TU München, associated with the chair for bioinformatics (Prof. Stefan Kramer)

10/03-04/07 Research scientist at the chair for bioinformaticsr TU München,

Machine Learning and Data Mining in Bioinformatics Group (Prof. Dr. Stefan Kramer)

06/00-09/03 Research scientist at the chair for micorbiology, TU München,

Molecular Phylogeny, Group Dr. Ludwig

04/99-04/00 Research Scientist at BioteCon Diagnostics GmbH, Berlin,

Division Research and Development of DNA-based diagnostic systems

Research Interests

Inductive Databases

Predictive Toxicology

Data Mining in HIV data

Knowledge Representation

Integration of Background Knowledge

High Performance Computing

Teaching

Lecture: Einführung in die Programmierung für Bioinformatiker. Winter terms 09/10, 08/09, 07/08, 06/07, 05/06, 04/05.

Lab Course: Masterpraktikum: Data Mining. Summer terms 11, 10, 09.

Lab Course: Programmierpraktium Bioinformatik. Winter terms 09/10, 08/09, 07/08, 06/07, 05/06, 04/05, 03/04

Seminar Bioinformatics: Summer/Winter terms 11, 10/11, 10, 09/10, 08/09, 07/08, 04/05, 03/04

Proseminar Bioinformatics: Summer/Winter term 11, 09, 07, 05/06, 05, 04

Publications

Buchwald, F, Richter, L, and Kramer, S (2011). Predicting a small molecule-kinase interaction map: A machine learning approach. Journal of Cheminformatics, 3:22.

Wicker, J, Richter, L, and Kramer, S (2011). SINDBAD and SiQL: Overview, Applications and Future Developments. In: Inductive Databases and Constraint-Based Data Mining, ed. by Sašo Džeroski, Bart Goethals, Panče Panov. Springer, chap. 12, pp. 289-310.

Edelstein, M, Buchwald, F, Richter, L and Kramer, S (2009).

Integrating Background Knowledge from Internet Databases into Predictive Toxicology Models. SAR QSAR Environmental Research, 21(1):21-35.

Richter, L, Augustin, R and Kramer, S (2009). Finding Relational Associations in HIV Resistance Mutation Data. In: Proceedings of the 19th International Conference on Inductive Logic Programming (ILP 2009), ed. by Luc De Raedt, Springer.

Wicker, J, Brosdau, C, Richter, L, and Kramer, S (2008). SINDBAD SAILS: A Service Architecture for Inductive Learning Schemes In: Proceedings of the 1st Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2008 , ed. by Nada Lavrač, Joost Kok, Jeroen de Bruin, Vid Podpečan.

Richter, L, Wicker, J, Kessler, K and Kramer, S (2008). An inductive database and query language in the relational model. In: Proceedings of the 11th international conference on Extending database technology: Advances in database technology, pp. 740-744, ACM Press.

Pilhofer, M, Bauer, A, Schrallhammer, M, Richter, L, Ludwig, W, Schleifer, K-H and Petroni, G (2007). Characterization of bacterial operons consisting of two tubulins and a kinesin-like gene by the novel Two-Step Gene Walking method. Nucleic Acids Res. 2007;35(20):e135. Epub 2007 Oct 16.

Richter, L, Hechtl, S and Kramer, S (2006). Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. In: Proceedings of the Sixth IEEE Symposium on BionInformatics and BioEngineering (BIBE'06), pp. 319-324, Washington, DC, USA, IEEE Computer Society.

Richter, L, Rückert, U and Kramer, S (2006). Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference? In: Pacific Symposium on Biocomputing, vol. 11, pp. 596-607.

Kramer, S, Aufschild, V, Hapfelmeier, A, Jarrasch, A, Kessler, K, Reckow, S, Wicker, J and Richter, L (2005). Inductive Databases in the Relational Model: the Data as the Bridge. In: Proceedings of the Fourth International Workshop on Knowledge Discovery in Databases, pp. 124-138.

Georgii, E, Rückert, U, Richter, L and Kramer, S (2005). Analyzing Microarray Data Using Quantitative Association Rules. Bioinformatics, 21(2):ii1-ii8.

Rückert, U, Richter, L and Kramer, S (2004). Quantitative Association Rules Based on Half-Spaces: An Optimization Approach . Technical Report TUM-I0412, Technische Universität München (2004).

Rückert, U, Richter, L and Kramer, S (2004). Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. In: Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM-2004), vol. 00, pp. 507-510, Los Alamitos, CA, USA, IEEE Computer Society Press.

Ludwig, W, Strunk, O, Westram, R, Richter, L, Meier, H, Yadhukumar, Buchner, A, Lai, T, Steppi, S, Jobb, G, Förster, W, Brettske, I, Gerber, S, Ginhart, A, Gross, O, Grumann, S, Hermann, S, Jost, R, König, A, Liss, T, Lüßmann, R, May, M, Nonhoff, B, Reichel, B, Strehlow, R, Stamatakis, A, Stuckmann, N, Vilbig, A, Lenke, M, Ludwig, T, Bode, A and Schleifer, K-H (2004). ARB: a software environment for sequence data. Nucleic Acids Research 32(4):1363-1371,(2004).

Richter, L (1999). Entwicklung und Anwendung eines hochsensitiven Verfahrens zum Nachweis von Plasmidvektoren mittels in vitro-Amplifikation. Dissertation TU München, (1999).

Heising, S, Richter, L, Ludwig, W and Schink, B (1999). Chlorobium ferrooxidans sp. nov., a phototrophic green sulfur bacterium that oxidizes ferrous iron in coculture with a Geospirillum sp. strain. Archives of Microbiology 172(2):116-124,(1999).

Ludwig, W, Amann, R, Richter, L, Küper, R, Juretschko, S, and Schleifer, K-H (1999). Entwicklung und Anwendung von molekularbiologischen Methoden zur Detektion und Quantifizierung von rekombinanter DNS und gentechnisch veränderter Organismen (GVO) in Umweltproben wie Abwasser und Belebtschlamm. Abschlußbericht für das bayerische Landesamt für Landesentwicklung und Umweltschutz,(1999).

Bohak, I, Back, W, Richter, L, Ludwig, W and Schleifer, K-H (1998). Lactobacillus amylolyticus sp. nov., Isolated from beer malt and beer wort. Systematic and Applied Microbiology 21:360-364,(1998).

Probst, A, Hertel, C, Richter, L, Wassill, L, Ludwig, W and Hammes, W (1998). Staphylococcus condimenti sp. nov., from soy sauce mash, and Staphylococcus carnosus (Schleifer and Fischer 1982) subsp. utilis subsp. nov. International Journal of Systematic Bacteriology, 48, 651-658,(1998).

Richter, L, Ehrmann, M, Fanta D, Bohak, I, Ludwig, W, Back, W and Schleifer K-H (1995) .Comparative rRNA Sequence Analysis of Lactic Acid Bacteria isolated from Beer. Meeting on Lactic Acid Bacteria, Cork (1995).

Richter, L (1994). Phylogenie und Identifizierung von lebensmittelmikrobiologisch relevanten grampositiven Bakterien und Entwicklung und Anwendung eines neuen Verfahrens zur Sequenzbestimmung terminaler Sequenzen. Diplomarbeit, TU München.