gobics.de: Maike Tech

Since Feb 2013 at the Digital Library Application Development group of Göttingen State and University Library.

Address:

Dr. Maike Tech
Abteilung Bioinformatik
Goldschmidtstr. 1
37077 Göttingen
Germany

email: maike (@gobics.de)
phone: +49 551 39 14927
fax: +49 551 39 14929

Teaching:

Linux- und Perl-Praktikum für Biologen und Mediziner (since 2004)
Linux-Skript (pdf, 485 kB)
Bioinformatik-Praktikum für Fortgeschrittene (since 2005)
Literaturseminar: Methoden der Bioinformatik
Einführung in die Angewandte Bioinformatik (WS 2007/08, 08/09)

Software:

Tribolium castaneum RNA interference annotation system (part of the DFG research unit iBeetle)
Orphelia - Gene prediction in metagenomic sequencing reads
TICO - Postprocessing of gene predictions for prokaryotes
YACOP - Gene prediction tool for prokaryotes
MrBayes - Easy to use webinterface to phylogeny program MrBayes (access restriced)

Publications:

C. Schmitt-Engel, D. Schultheis, J. Schwirz, N. Ströhlein, N. Troelenberg, U. Majumdar, V.A. Dao, D. Grossmann, T. Richter, M. Tech, J. Dönitz, L. Gerischer, M. Theis, I. Schild, J. Trauner, N. Koniszewski, E. Küster, S. Kittelmann, Y. Hu, S. Lehmann, J. Siemanowski, J. Ulrich, K. Panfilio, R. Schröder, B. Morgenstern, M. Stanke, F. Buchholz, M. Frasch, S. Roth, E. Wimmer, M. Schoppmeier, M. Klingler, and G. Bucher (2015)
The iBeetle large scale RNAi screen reveals novel gene functions for insect development and physiology
Nature Communications 6, 7822
J. Dönitz, C. Schmitt-Engel, D, Grossmann, L, Gerischer, M. Tech, M. Schoppmeier, M. Klingler, G. Bucher (2014)
iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum
Nuc. Acids Research, doi: 10.1093/nar/gku1054
V.-T. Tran, S. A. Braus-Stromeyer, H. Kusch, M. Reusche, A. Kaever, A. Kühn, O. Valerius, M. Landesfeind, K. Aßhauer, M. Tech, K. Hoff, T. Pena-Centeno, M.Stanke, V.Lipka, G. H. Braus (2014)
Verticillium transcription activator of adhesion Vta2 suppresses microsclerotia formation and is required for systemic infection of plant roots
New Phytologist, Vol 202 Issue 2 doi: 10.1111/nph.12671
K. Hoff, M. Tech, T. Lingner, R. Daniel, B. Morgenstern, P. Meinicke (2010)
Gene prediction in metagenomic fragments with Orphelia: a large scale machine learning approach (book chapter)
In: Handbook of Molecular Microbial Ecology I: Metagenomic and Complementary Approaches.
Wiley
K. J. Hoff, T. Lingner, P. Meinicke, M. Tech (2009)
Orphelia: predicting genes in metagenomic sequencing reads
Nucleic Acids Research, Web server issue [pdf]
K. J. Hoff, M. Tech, T. Lingner, R. Daniel, B. Morgenstern, P. Meinicke (2008)
Gene prediction in metagenomic fragments: a large scale machine learning approach
BMC Bioinformatics, 9:217
M. Tech, B. Morgenstern, P. Meinicke (2006)
TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites
Nucleic Acids Res. Web Server issue, 34 [pdf].
M. Tech and P. Meinicke (2006)
An unsupervised classification scheme for improving predictions of prokaryotic TIS
BMC Bioinformatics 7:121 [pdf].
M. Tech, N. Pfeifer, B. Morgenstern and P. Meinicke (2005)
TICO: a tool for improving predictions of prokaryotic translation initiation sites
Bioinformatics, 21:17 [pdf].
Talk at the Prokagen 2005, title: Prediction of Translation Initiation Sites in Prokaryotic Genomes with TICO [pdf]
P. Meinicke, M. Tech, B. Morgenstern and R. Merkl (2004)
Oligo Kernels for datamining on biological sequences: A case study on prokaryotic translation initiation sites
BMC Bioinformatics 5:169 [pdf].
M. Tech and R. Merkl (2003)
YACOP: Enhanced Gene Prediction Obtained by a Combination of Existing Methods
In Silico Biology 3:4.

Selected Posters

K. J. Hoff, F. Schreiber, M. Tech, P. Meinicke
The effect of sequencing errors on metagenomic gene prediction
ISMB/ECCB 2009 [pdf]
K. J. Hoff, M. Tech, P. Meinicke
Predicting genes in metagenomic DNA fragments with high specificity using machine learning techniques
ECCB 2008 [pdf]
TICO poster at the GCB 2005 [pdf]

Theses

Doctoral thesis (2007): Analyse von Translationsstarts in prokaryotischen Genomen mit Methoden des Maschinellen Lernens [pdf]; Title En: Analysis of translation initiation sites in prokaryotic genomes with machine learning methods
Diploma thesis (2003): Vergleichende Untersuchung zur Verbesserung von Methoden der Genvorhersage [pdf]

gobics.de [ Maike Tech ]