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Volume 16 Supplement 11

Proceedings of the 5th Symposium on Biological Data Visualization: Part 1


Edited by Daniel Weiskopf and Jan Aerts

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.

5th Symposium on Biological Data Visualization. Go to conference site.

Dublin, Ireland10-11 July 2015

Image from Chelaru and Bravo BMC Bioinformatics 2015, 16(Suppl 11): S4.

Related articles have been published in a supplement to BMC Proceedings.

  1. Several tools have been developed to enable biologists to perform initial browsing and exploration of sequencing data. However the computational tool set for further analyses often requires significant computa...

    Authors: Hamid Younesy, Torsten Möller, Matthew C Lorincz, Mohammad M Karimi and Steven JM Jones
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S2
  2. Large-scale genome projects have paved the way to microbial pan-genome analyses. Pan-genomes describe the union of all genes shared by all members of the species or taxon under investigation. They offer a fram...

    Authors: André Hennig, Jörg Bernhardt and Kay Nieselt
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S3
  3. Though cluster analysis has become a routine analytic task for bioinformatics research, it is still arduous for researchers to assess the quality of a clustering result. To select the best clustering method an...

    Authors: Sehi L'Yi, Bongkyung Ko, DongHwa Shin, Young-Joon Cho, Jaeyong Lee, Bohyoung Kim and Jinwook Seo
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S5
  4. The volume of complete bacterial genome sequence data available to comparative genomics researchers is rapidly increasing. However, visualizations in comparative genomics--which aim to enable analysis tasks ac...

    Authors: Jillian Aurisano, Khairi Reda, Andrew Johnson, Elisabeta G Marai and Jason Leigh
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S6
  5. To understand the molecular mechanisms that give rise to a protein's function, biologists often need to (i) find and access all related atomic-resolution 3D structures, and (ii) map sequence-based features (e....

    Authors: Christian Stolte, Kenneth S Sabir, Julian Heinrich, Christopher J Hammang, Andrea Schafferhans and Seán I O'Donoghue
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S7
  6. We present a physically-based computational model of the light sheet fluorescence microscope (LSFM). Based on Monte Carlo ray tracing and geometric optics, our method simulates the operational aspects and imag...

    Authors: Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Henry Markram and Felix Schürmann
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S8
  7. Biomedical image processing methods require users to optimise input parameters to ensure high-quality output. This presents two challenges. First, it is difficult to optimise multiple input parameters for mult...

    Authors: AJ Pretorius, Y Zhou and RA Ruddle
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S9
  8. Histology images comprise one of the important sources of knowledge for phenotyping studies in systems biology. However, the annotation and analyses of histological data have remained a manual, subjective and ...

    Authors: Hao Ding, Chao Wang, Kun Huang and Raghu Machiraju
    Citation: BMC Bioinformatics 2015 16(Suppl 11):S10

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