@article{GassenBrechtefeldSchandryetal.2012,
  author    = {Gassen, Alwine and Brechtefeld, Doris and Schandry, Niklas and Arteaga-Salas, J. Manuel and Israel, Lars and Imhof, Axel and Janzen, Christian J.},
  title     = {DOT1A-dependent H3K76 methylation is required for replication regulation in Trypanosoma brucei},
  series = {Nucleic Acids Research},
  volume    = {40},
  journal   = {Nucleic Acids Research},
  number    = {20},
  doi       = {10.1093/nar/gks801},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131449},
  pages     = {10302 - 10311},
  year      = {2012},
  abstract  = {Cell-cycle progression requires careful regulation to ensure accurate propagation of genetic material to the daughter cells. Although many cell-cycle regulators are evolutionarily conserved in the protozoan parasite Trypanosoma brucei, novel regulatory mechanisms seem to have evolved. Here, we analyse the function of the histone methyltransferase DOT1A during cell-cycle progression. Over-expression of DOT1A generates a population of cells with aneuploid nuclei as well as enucleated cells. Detailed analysis shows that DOT1A over-expression causes continuous replication of the nuclear DNA. In contrast, depletion of DOT1A by RNAi abolishes replication but does not prevent karyokinesis. As histone H3K76 methylation has never been associated with replication control in eukaryotes before, we have discovered a novel function of DOT1 enzymes, which might not be unique to trypanosomes.},
  language  = {en}
}
@article{WolfKuonenDandekaretal.2015,
  author    = {Wolf, Beat and Kuonen, Pierre and Dandekar, Thomas and Atlan, David},
  title     = {DNAseq workflow in a diagnostic context and an example of a user friendly implementation},
  series = {BioMed Research International},
  journal   = {BioMed Research International},
  number    = {403497},
  doi       = {10.1155/2015/403497},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-144527},
  year      = {2015},
  abstract  = {Over recent years next generation sequencing (NGS) technologies evolved from costly tools used by very few, to a much more accessible and economically viable technology. Through this recently gained popularity, its use-cases expanded from research environments into clinical settings. But the technical know-how and infrastructure required to analyze the data remain an obstacle for a wider adoption of this technology, especially in smaller laboratories. We present GensearchNGS, a commercial DNAseq software suite distributed by Phenosystems SA. The focus of GensearchNGS is the optimal usage of already existing infrastructure, while keeping its use simple. This is achieved through the integration of existing tools in a comprehensive software environment, as well as custom algorithms developed with the restrictions of limited infrastructures in mind. This includes the possibility to connect multiple computers to speed up computing intensive parts of the analysis such as sequence alignments. We present a typical DNAseq workflow for NGS data analysis and the approach GensearchNGS takes to implement it. The presented workflow goes from raw data quality control to the final variant report. This includes features such as gene panels and the integration of online databases, like Ensembl for annotations or Cafe Variome for variant sharing.},
  language  = {en}
}