Automated Assembly with Compliant Mating Parts. - Thomas Meitinger; Friedrich Pfeiffer (ICRA, 1994)

Dynamic simulation of assembly processes. - Thomas Meitinger; Friedrich Pfeiffer (IROS (2), 1995)

MITOP: database for mitochondria-related proteins, genes and diseases. - Curt Scharfe; Paolo Zaccaria; K. Hörtnagel; M. Jaksch; Thomas Klopstock; R. Lill; Holger Prokisch; K. D. Gerbitz; Hans-Werner Mewes; Thomas Meitinger (Nucleic Acids Res., 1999)

MITOP, the mitochondrial proteome database: 2000 update. - Curt Scharfe; Paolo Zaccaria; K. Hörtnagel; M. Jaksch; Thomas Klopstock; M. Dembowski; R. Lill; Holger Prokisch; K. D. Gerbitz; W. Neupert; Hans-Werner Mewes; Thomas Meitinger (Nucleic Acids Res., 2000)

MitoP2, an integrated database on mitochondrial proteins in yeast and man. - Christophe Andreoli; Holger Prokisch; K. Hörtnagel; Jakob C. Mueller; Martin Münsterkötter; Curt Scharfe; Thomas Meitinger (Nucleic Acids Res., 2004)

MitoP2: the mitochondrial proteome database - now including mouse data. - Holger Prokisch; Christophe Andreoli; U. Ahting; K. Heiss; Andreas Ruepp; Curt Scharfe; Thomas Meitinger (Nucleic Acids Res., 2006)

Gene Mapping and Marker Clustering Using Shannon's Mutual Information. - Zaher Dawy; Bernhard Goebel; Joachim Hagenauer; Christophe Andreoli; Thomas Meitinger; Jakob C. Mueller (IEEE ACM Trans. Comput. Biol. Bioinform., 2006)

Konzept für ein deutschlandweites Krankheitsnetz am Beispiel von mitoREGISTER. - Florian Kohlmayer; Ronald R. Lautenschläger; Sebastian H. R. Wurst; Thomas Klopstock; Holger Prokisch; Thomas Meitinger; Claudia Eckert 001; Klaus A. Kuhn (GI Jahrestagung (2), 2010)

pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms. - Sophie Molnos; Clemens Baumbach; Simone Wahl; Martina Müller-Nurasyid; Konstantin Strauch; Rui Wang-Sattler; Melanie Waldenberger; Thomas Meitinger; Jerzy Adamski; Gabi Kastenmüller; Karsten Suhre; Annette Peters; et al. (BMC Bioinform., 2017)

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. - Janine Arloth; Gökcen Eraslan; Till F. M. Andlauer; Jade Martins; Stella Iurato; Brigitte Kühnel; Melanie Waldenberger; Josef Frank; Ralf Gold; Bernhard Hemmer; Felix Luessi; Sandra Nischwitz; et al. (PLoS Comput. Biol., 2020)