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Dr. Janos Kelemen

News

May 1

Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations
appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.

Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.

 
  • ETH Zurich, D-BSSE
    Computational Biology Group (CBG)
    Office: 8.46
    Mattenstrasse 26
    CH-4058 Basel, SWITZERLAND

  • Phone: +41 61 387 3306
    Fax: +41 61 387 3992
    E-Mail:janos.kelemen@bsse.ethz.ch

Current Research Projects

Detection of epistasis in high and ultra-high dimensional data, such as SNP data from GWAS. Alternative approaches to analyzing GWAS data.

Research Interests

Publications

Selected Publications
Other Publications

Curriculum Vitae

2010 Postdoc at the D-BSSE of ETHZ, Basel, Switzerland.
2007 - 2010
Postdoc at the Institute of Molecular Biology, University of Zurich, Zurich, Switzerland.
2003 - 2007
PhD at the University of Szeged, Biology Doctoral School, Szeged, Hungary.  Research at the Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary.
1997 - 2003
Diploma – equivalent to MS degree, Engineering – Automatic Control and Industrial Informatics, Petru Maior University, Tirgu Mureş, Romania.
 

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© 2012 ETH Zurich | Imprint | Disclaimer | 27 June 2011
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