Matias Piipari

Summary

Publications

  1. pmc The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression
    Matthew J Murray
    Medical Research Council Cancer Cell Unit, Cambridge, CB2 0XZ, UK
    Mol Cancer 9:290. 2010
  2. pmc iMotifs: an integrated sequence motif visualization and analysis environment
    Matias Piipari
    Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
    Bioinformatics 26:843-4. 2010
  3. pmc Metamotifs--a generative model for building families of nucleotide position weight matrices
    Matias Piipari
    Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
    BMC Bioinformatics 11:348. 2010

Collaborators

  • Thomas A Down
  • Matthew J Murray
  • James C Nicholson
  • Harpreet K Saini
  • Nicholas Coleman
  • Anton J Enright
  • Stijn van Dongen
  • Mark R Pett
  • Claire M Thornton
  • Roger D Palmer
  • Balaji Muralidhar

Detail Information

Publications3

  1. pmc The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression
    Matthew J Murray
    Medical Research Council Cancer Cell Unit, Cambridge, CB2 0XZ, UK
    Mol Cancer 9:290. 2010
    ..We hypothesised that differences in microRNA expression profiles contribute to the contrasting natural history and clinical outcome of the two most common types of malignant germ cell tumour (GCT), yolk sac tumours (YSTs) and germinomas...
  2. pmc iMotifs: an integrated sequence motif visualization and analysis environment
    Matias Piipari
    Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
    Bioinformatics 26:843-4. 2010
    ..The application includes a bundled and graphically integrated version of the NestedMICA motif inference suite that has no outside dependencies. Problems associated with local deployment of software are therefore avoided...
  3. pmc Metamotifs--a generative model for building families of nucleotide position weight matrices
    Matias Piipari
    Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK
    BMC Bioinformatics 11:348. 2010
    ....