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Volume 21 Supplement 6

Selected articles from the 15th International Symposium on Bioinformatics Research and Applications (ISBRA-19): bioinformatics


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.

Barcelona, Spain3-6 June 2019

Edited by Alex Zelikovsky, Zhipeng Cai, Pavel Skums and Min Li

Conference website

Related articles have published as a supplement to BMC Medical Genomics and BMC Medical Informatics and Decision Making.

  1. Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function predic...

    Authors: Yi-Wei Liu, Tz-Wei Hsu, Che-Yu Chang, Wen-Hung Liao and Jia-Ming Chang
    Citation: BMC Bioinformatics 2020 21(Suppl 6):276
  2. All molecular functions and biological processes are carried out by groups of proteins that interact with each other. Metaproteomic data continuously generates new proteins whose molecular functions and relati...

    Authors: Adrià Alcalá, Ricardo Alberich, Mercè Llabrés, Francesc Rosselló and Gabriel Valiente
    Citation: BMC Bioinformatics 2020 21(Suppl 6):265
  3. Screening of the brain computerised tomography (CT) images is a primary method currently used for initial detection of patients with brain trauma or other conditions. In recent years, deep learning technique h...

    Authors: Jianqiang Li, Guanghui Fu, Yueda Chen, Pengzhi Li, Bo Liu, Yan Pei and Hui Feng
    Citation: BMC Bioinformatics 2020 21(Suppl 6):200
  4. With the rapid development of high-throughput technique, multiple heterogeneous omics data have been accumulated vastly (e.g., genomics, proteomics and metabolomics data). Integrating information from multiple...

    Authors: Yuanyuan Ma, Junmin Zhao and Yingjun Ma
    Citation: BMC Bioinformatics 2020 21(Suppl 6):234
  5. Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a...

    Authors: Nikita Alexeev, Javlon Isomurodov, Vladimir Sukhov, Gennady Korotkevich and Alexey Sergushichev
    Citation: BMC Bioinformatics 2020 21(Suppl 6):261
  6. The alignment of protein-protein interaction networks was recently formulated as an integer quadratic programming problem, along with a linearization that can be solved by integer linear programming software t...

    Authors: Mercè Llabrés, Gabriel Riera, Francesc Rosselló and Gabriel Valiente
    Citation: BMC Bioinformatics 2020 21(Suppl 6):434
  7. Alignment-free methods for sequence comparisons have become popular in many bioinformatics applications, specifically in the estimation of sequence similarity measures to construct phylogenetic trees. Recently...

    Authors: Sriram P. Chockalingam, Jodh Pannu, Sahar Hooshmand, Sharma V. Thankachan and Srinivas Aluru
    Citation: BMC Bioinformatics 2020 21(Suppl 6):404
  8. The identification of early mild cognitive impairment (EMCI), which is an early stage of Alzheimer’s disease (AD) and is associated with brain structural and functional changes, is still a challenging task. Re...

    Authors: Jin Liu, Guanxin Tan, Wei Lan and Jianxin Wang
    Citation: BMC Bioinformatics 2020 21(Suppl 6):123
  9. Electron tomography (ET) is an important technique for the study of complex biological structures and their functions. Electron tomography reconstructs the interior of a three-dimensional object from its proje...

    Authors: Lun Li, Renmin Han, Zhaotian Zhang, Tiande Guo, Zhiyong Liu and Fa Zhang
    Citation: BMC Bioinformatics 2020 21(Suppl 6):202
  10. DNA methylation in the human genome is acknowledged to be widely associated with biological processes and complex diseases. The Illumina Infinium methylation arrays have been approved as one of the most effici...

    Authors: Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu and Min Li
    Citation: BMC Bioinformatics 2020 21(Suppl 6):403

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