|
Chair for Bioinformatics I12 / Lehrstuhl
fŸr Bioinformatik I12 |
Technische
UniversitŠt MŸnchen Boltzmannstr. 3 85748
Garching |
|
Mail:
richter(at)in.tum.de Phone: +49
89 289 19438 Fax: +49
89 289 19414 Room: 01.09.041 |
Experience
09/12- today |
Senior
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 fŸr Informatik, TU MŸnchen, associated with the chair
for bioinformatics (Prof.
Stefan Kramer) |
10/03-04/07 |
Research
scientist at the chair for
bioinformatics TU MŸnchen, Machine
Learning and Data Mining in Bioinformatics
Group (Prof. Dr. Stefan Kramer) |
06/00-09/03 |
Research
scientist at the chair for
micorbiology, TU MŸnchen, 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 medical data
Prediction of
mutation effects
Teaching
Lecture: EinfŸhrung in die
Programmierung fŸr Bioinformatiker. Winter terms 13/14,
09/10, 08/09, 07/08, 06/07, 05/06,
04/05.
Lab
Course: Masterpraktikum: Data Mining. Summer terms 14, 13, 11, 10, 09.
Lab
Course: Masterpraktikum Bioinformatik. Summer term 14, 13
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
14, 13/14,12,11, 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
Skills
Programming experience
in Java, C, C++, Prolog, Perl, Shell
Installation and Administration of various Linux
distribution: SuSE, Ubuntu, Gentoo
Virtualization
Database design and implementation (MySQL,PostgreSQL)
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, RŸckert, 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, RŸckert, U, Richter,
L and Kramer, S (2005). Analyzing Microarray Data Using Quantitative
Association Rules. Bioinformatics, 21(2):ii1-ii8.
RŸckert,
U, Richter, L and Kramer, S (2004).
Quantitative Association Rules Based on Half-Spaces: An Optimization Approach .
Technical Report TUM-I0412, Technische UniversitŠt MŸnchen (2004).
RŸckert,
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, Fšrster, W, Brettske, I, Gerber,
S, Ginhart, A, Gross, O, Grumann,
S, Hermann, S, Jost, R, Kšnig,
A, Liss, T, L٤mann, 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 MŸnchen,
(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, KŸper,
R, Juretschko, S, and Schleifer,
K-H (1999). Entwicklung und Anwendung
von molekularbiologischen Methoden
zur Detektion und Quantifizierung von rekombinanter
DNS und gentechnisch verŠnderter
Organismen (GVO) in Umweltproben
wie Abwasser und Belebtschlamm. Abschlu§bericht fŸr das bayerische Landesamt fŸr 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 MŸnchen.