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Volume 20 Supplement 5

Selected articles from the Second International Workshop on Cells in ExperimentaL Life Sciences (CELLS-2018) at the 2018 International Conference on Biological Ontology (ICBO-2018)

Research

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. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Corvallis, OR, USA7 August 2018

Conference website

Edited by Sirarat Sarntivijai, Yongqun He and Alexander D. Diehl.

  1. Cell cultures and cell lines are widely used in life science experiments. In conjunction with the 2018 International Conference on Biomedical Ontology (ICBO-2018), the 2nd International Workshop on Cells in Ex...

    Authors: Sirarat Sarntivijai, Yongqun He and Alexander D. Diehl
    Citation: BMC Bioinformatics 2019 20(Suppl 5):183
    Content type: Introduction Published on:

  3. Stem cells and stem cell lines are widely used in biomedical research. The Cell Ontology (CL) and Cell Line Ontology (CLO) are two community-based OBO Foundry ontologies in the domains of in vivo cells and in ...

    Authors: Yongqun He, William D. Duncan, Daniel J. Cooper, Jens Hansen, Ravi Iyengar, Edison Ong, Kendal Walker, Omar Tibi, Sam Smith, Lucas M. Serra, Jie Zheng, Sirarat Sarntivijai, Stephan Schürer, K. Sue O’Shea and Alexander D. Diehl
    Citation: BMC Bioinformatics 2019 20(Suppl 5):180
    Content type: Research Published on:

  4. The Chinese National Infrastructure of Cell Line stores and distributes cell lines for biomedical research in China. This study aims to represent and integrate the information of NICR cell lines into the commu...

    Authors: Hongjie Pan, Xiaocui Bian, Sheng Yang, Yongqun He, Xiaolin Yang and Yuqin Liu
    Citation: BMC Bioinformatics 2019 20(Suppl 5):179
    Content type: Research Published on:

  5. Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations ...

    Authors: James A. Overton, Randi Vita, Patrick Dunn, Julie G. Burel, Syed Ahmad Chan Bukhari, Kei-Hoi Cheung, Steven H. Kleinstein, Alexander D. Diehl and Bjoern Peters
    Citation: BMC Bioinformatics 2019 20(Suppl 5):182
    Content type: Research Published on:
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BMC Bioinformatics

ISSN: 1471-2105

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