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Fabio De Bona
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Fabio De Bona

  • Ph.D. student (Alumnus)

Biography:

My work focuses on applying machine learning methods for structured output prediction to biological problems. Projects I work on are related to alignment of next generation sequencing data, prediction of RNA secondary structures and efficient preprocessing of next generation sequencing data. Before coming to Tübingen I worked for over two years at the DFKI GmbH in Kaiserslautern.

Education:

  1. Ph.D. candidate in Bioinformatik in Gunnar Rätschs group / University of Tuebingen 2005-today,
  2. Diplom (Master) in Computer Science with minor subject Biology, University of Kaiserslautern, 2005.
  3. Vordiplom (Bachelor) in Computer Science, University of Kaiserslautern, 2002.

Research Interests:

RNA Sequencing:
Spliced Alignments for ESTs, cDNAs, and Next-Generation Sequencing Reads:
RNA Secondary Structure Prediction: