Stephan Pabinger PhD

Dr. Pabinger is currently working at Austrian Institute Of Technology. He has received PhD degree from University of Technology, Graz, Austria. His research interests are Analysis of high-throughput biological data - especially next-generation sequencing data,Development of bioinformatics methods and tools, Cancer data analysis, Sequence assembly - tool development and analysis, qPCR data analysis, Integration of heterogeneous high-throughput data.

His publications are as follows:
Friedrich V, Pabinger S, Chen T, Messner P, Dewhirst FE, Schäffer C. Draft Genome Sequence of Tannerella forsythia Type Strain ATCC 43037. Genome Announc. 2015 Jun 11;3(3).
Friedrich V, Gruber C, Nimeth I, Pabinger S, Sekot G, Posch G, Altmann F, Messner P, Andrukhov O, Schäffer C Outer membrane vesicles of Tannerella forsythia: biogenesis, composition, and virulence. Mol Oral Microbiol. 2015 May 8.
Maghuly F, Jankowicz-Cieslak J, Pabinger S, J. Till B, and Laimer M. Geographic origin is not supported by the genetic variability found in a large living collection of Jatropha curcas with accessions from three continents. Biotechnology Journal. 2014 Dec.
Pabinger S, Rödiger S, Kriegner A, Vierlinger K, Weinhäusel A. A survey of tools for the analysis of quantitative PCR (qPCR). Biomolecular Detection and Quantification. 2014 Sep 18;1:23-33.
Dander A, Baldauf M, Sperk M, Pabinger S, Hiltpolt B, Trajanoski Z. Personalized Oncology Suite: integrating next-generation sequencing data and whole-slide bioimages. BMC Bioinformatics. 2014 Sep 18;15:306.
Schweiger D, Trajanoski Z, Pabinger S. SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases. BMC Bioinformatics. 2014 Aug 15;15(1):279.