Volume 14 Supplement 10

Selected articles from the 10th International Workshop on Computational Systems Biology (WCSB) 2013: Bioinformatics

Research

Edited by Reija Autio, Ilya Shmulevich, Korbinian Strimmer and Carsten Wiuf

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard peer-review process for supplements. The Supplement Editors declare that they have no competing interests.

10th International Workshop on Computational Systems Biology. Go to conference site.

Tampere, Finland

10-12 June 2013

  1. Research

    Classification of genomic signals using dynamic time warping

    Classification methods of DNA most commonly use comparison of the differences in DNA symbolic records, which requires the global multiple sequence alignment. This solution is often inappropriate, causing a num...

    Helena Skutkova, Martin Vitek, Petr Babula, Rene Kizek and Ivo Provaznik

    BMC Bioinformatics 2013 14(Suppl 10):S1

    Published on: 12 August 2013

  2. Research

    Computing preimages of Boolean networks

    In this paper we present an algorithm based on the sum-product algorithm that finds elements in the preimage of a feed-forward Boolean networks given an output of the network. Our probabilistic method runs in ...

    Johannes Georg Klotz, Martin Bossert and Steffen Schober

    BMC Bioinformatics 2013 14(Suppl 10):S4

    Published on: 12 August 2013

  3. Research

    ZebIAT, an image analysis tool for registering zebrafish embryos and quantifying cancer metastasis

    Zebrafish embryos have recently been established as a xenotransplantation model of the metastatic behaviour of primary human tumours. Current tools for automated data extraction from the microscope images are ...

    Teppo Annila, Eero Lihavainen, Ines J Marques, Darren R Williams, Olli Yli-Harja and Andre Ribeiro

    BMC Bioinformatics 2013 14(Suppl 10):S5

    Published on: 12 August 2013

  4. Research

    Multi-scale Gaussian representation and outline-learning based cell image segmentation

    High-throughput genome-wide screening to study gene-specific functions, e.g. for drug discovery, demands fast automated image analysis methods to assist in unraveling the full potential of such studies. Image ...

    Muhammad Farhan, Pekka Ruusuvuori, Mario Emmenlauer, Pauli Rämö, Christoph Dehio and Olli Yli-Harja

    BMC Bioinformatics 2013 14(Suppl 10):S6

    Published on: 12 August 2013