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Volume 19 Supplement 4

Selected articles from the 16th Asia Pacific Bioinformatics Conference (APBC 2018): bioinformatics

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.

Yokohama, Japan15-17 January 2018

Conference website

Edited by Yi-Ping Phoebe Chen, Yasubumi Sakakibara and Yoshihiro Yamanishi

Related articles have been published as a supplement to BMC Systems Biology and BMC Genomics.

  1. Even though coexistence of multiple phenotypes sharing the same genomic background is interesting, it remains incompletely understood. Epigenomic profiles may represent key factors, with unknown contributions ...

    Authors: Y.-H. Taguchi
    Citation: BMC Bioinformatics 2018 19(Suppl 4):99
  2. A new emerged cancer treatment utilizes intrinsic immune surveillance mechanism that is silenced by those malicious cells. Hence, studies of tumor infiltrating lymphocyte populations (TILs) are key to the succ...

    Authors: Shu-Hwa Chen, Wen-Yu Kuo, Sheng-Yao Su, Wei-Chun Chung, Jen-Ming Ho, Henry Horng-Shing Lu and Chung-Yen Lin
    Citation: BMC Bioinformatics 2018 19(Suppl 4):154
  3. Identification of multi-markers is one of the most challenging issues in personalized medicine era. Nowadays, many different types of omics data are generated from the same subject. Although many methods endea...

    Authors: Yongkang Kim, Sungyoung Lee, Sungkyoung Choi, Jin-Young Jang and Taesung Park
    Citation: BMC Bioinformatics 2018 19(Suppl 4):75
  4. Frequent subgraphs mining is a significant problem in many practical domains. The solution of this kind of problem can particularly used in some large-scale drug molecular or biological libraries to help us fi...

    Authors: Shunyun Yang, Runxin Guo, Rui Liu, Xiangke Liao, Quan Zou, Benyun Shi and Shaoliang Peng
    Citation: BMC Bioinformatics 2018 19(Suppl 4):98
  5. Comprehensively understanding the dynamics of biological systems is among the biggest current challenges in biology and medicine. To acquire this understanding, researchers have measured the time-series expres...

    Authors: Yoichi Takenaka, Kazuma Mikami, Shigeto Seno and Hideo Matsuda
    Citation: BMC Bioinformatics 2018 19(Suppl 4):89
  6. Protein-protein interactions (PPIs) play several roles in living cells, and computational PPI prediction is a major focus of many researchers. The three-dimensional (3D) structure and binding surface are impor...

    Authors: Takanori Hayashi, Yuri Matsuzaki, Keisuke Yanagisawa, Masahito Ohue and Yutaka Akiyama
    Citation: BMC Bioinformatics 2018 19(Suppl 4):62
  7. Protein dihedral angles provide a detailed description of protein local conformation. Predicted dihedral angles can be used to narrow down the conformational space of the whole polypeptide chain significantly,...

    Authors: Yujuan Gao, Sheng Wang, Minghua Deng and Jinbo Xu
    Citation: BMC Bioinformatics 2018 19(Suppl 4):100
  8. As one possible solution to the “missing heritability” problem, many methods have been proposed that apply pathway-based analyses, using rare variants that are detected by next generation sequencing technology...

    Authors: Sungyoung Lee, Yongkang Kim, Sungkyoung Choi, Heungsun Hwang and Taesung Park
    Citation: BMC Bioinformatics 2018 19(Suppl 4):79
  9. Protein secondary structure is the three dimensional form of local segments of proteins and its prediction is an important problem in protein tertiary structure prediction. Developing computational approaches ...

    Authors: Jiyun Zhou, Hongpeng Wang, Zhishan Zhao, Ruifeng Xu and Qin Lu
    Citation: BMC Bioinformatics 2018 19(Suppl 4):60
  10. Although rapid developed sequencing technologies make it possible for genotype data to be used in clinical diagnosis, it is still challenging for clinicians to understand the results of sequencing and make cor...

    Authors: Xiaofeng Gong, Jianping Jiang, Zhongqu Duan and Hui Lu
    Citation: BMC Bioinformatics 2018 19(Suppl 4):162

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