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Maike Tech
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2010 – 2019
- 2016
- [c1]Jörg Wettlaufer, Maike Tech, Sibylle Naegle:
Das digitale Handbuch der Höfe und Residenzen im spätmittelalterlichen Reich. Eine suchoptimierte Präsentation von strukturierten und verlinkten XML-TEI Daten. DHd 2016 - 2015
- [j8]Jürgen Dönitz, Christian Schmitt-Engel, Daniela Grossmann, Lizzy Gerischer, Maike Tech, Michael Schoppmeier, Martin Klingler, Gregor Bucher:
iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum. Nucleic Acids Res. 43(Database-Issue): 720-725 (2015)
2000 – 2009
- 2009
- [j7]Katharina Jasmin Hoff, Thomas Lingner, Peter Meinicke, Maike Tech:
Orphelia: predicting genes in metagenomic sequencing reads. Nucleic Acids Res. 37(Web-Server-Issue): 101-105 (2009) - 2008
- [j6]Katharina Jasmin Hoff, Maike Tech, Thomas Lingner, Rolf Daniel, Burkhard Morgenstern, Peter Meinicke:
Gene prediction in metagenomic fragments: A large scale machine learning approach. BMC Bioinform. 9 (2008) - 2006
- [j5]Maike Tech, Peter Meinicke:
An unsupervised classification scheme for improving predictions of prokaryotic TIS. BMC Bioinform. 7: 121 (2006) - [j4]Maike Tech, Burkhard Morgenstern, Peter Meinicke:
TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites. Nucleic Acids Res. 34(Web-Server-Issue): 588-590 (2006) - 2005
- [j3]Maike Tech, Nico Pfeifer, Burkhard Morgenstern, Peter Meinicke:
TICO: a tool for improving predictions of prokaryotic translation initiation sites. Bioinform. 21(17): 3568-3569 (2005) - 2004
- [j2]Peter Meinicke, Maike Tech, Burkhard Morgenstern, Rainer Merkl:
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites. BMC Bioinform. 5: 169 (2004) - 2003
- [j1]Maike Tech, Rainer Merkl:
YACOP: Enhanced gene prediction obtained by a combination of existing methods. Silico Biol. 3(4): 441-451 (2003)
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