Skip to main content

Volume 15 Supplement 13

Selected articles from the 9th International Symposium on Bioinformatics Research and Applications (ISBRA-13): Bioinformatics


Edited by Cynthia Gibas, Oliver Eulenstein and Zhipeng Cai

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges and be found in the individual articles. The peer review process was overseen by the Supplement Editors in accordance with BioMed Central's peer review guidelines for supplements. The Supplement Editors declare that they have no competing interests.

9th International Symposium on Bioinformatics Research and Applications (ISBRA'13). Go to conference site.

Charlotte, NC, USA20-22 May 2013

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

  1. Evolutionary studies are complicated by discordance between gene trees and the species tree in which they evolved. Dealing with discordant trees often relies on comparison costs between gene and species trees,...

    Authors: Pawel Górecki and Oliver Eulenstein
    Citation: BMC Bioinformatics 2014 15(Suppl 13):S3
  2. There is an ever-expanding range of technologies that generate very large numbers of biomarkers for research and clinical applications. Choosing the most informative biomarkers from a high-dimensional data set...

    Authors: Edward Hemphill, James Lindsay, Chih Lee, Ion I Măndoiu and Craig E Nelson
    Citation: BMC Bioinformatics 2014 15(Suppl 13):S4
  3. The excessive production of lactic acid by L. bulgaricus during yogurt storage is a phenomenon we are always tried to prevent. The methods used in industry either control the post-acidification inefficiently or k...

    Authors: Ke Liu, Xiangmiao Zeng, Lei Qiao, Xisheng Li, Yubo Yang, Cuihong Dai, Aiju Hou and Dechang Xu
    Citation: BMC Bioinformatics 2014 15(Suppl 13):S5
  4. High-throughput expression data, such as gene expression and metabolomics data, exhibit modular structures. Groups of features in each module follow a latent factor model, while between modules, the latent fac...

    Authors: Tianwei Yu and Yun Bai
    Citation: BMC Bioinformatics 2014 15(Suppl 13):S6

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    4,858 Altmetric mentions 

Sign up for article alerts and news from this journal