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BMC Bioinformatics

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Volume 16 Supplement 11

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

Research

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. Content type: Research

    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

    Published on:

  2. Content type: Research

    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

    Published on:

  3. Content type: Research

    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

    Published on:

  4. Content type: Research

    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

    Published on:

  5. Content type: Research

    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

    Published on:

  6. Content type: Research

    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

    Published on:

  7. Content type: Research

    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

    Published on:

  8. Content type: Research

    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

    Published on:

2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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