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Volume 19 Supplement 19

Proceedings of the 29th International Conference on Genome Informatics (GIW 2018): 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. JZ was not involved in the review decision of their paper. No other competing interests were declared.

Yunnan, China3-5 December 2018

Edited by Jie Zheng and Yun Zheng

  1. Content type: Methodology

    Finding peptides with high binding affinity to Class I major histocompatibility complex (MHC-I) attracts intensive research, and it serves a crucial part of developing a better vaccine for precision medicine. ...

    Authors: Zhoujian Xiao, Yuwei Zhang, Runsheng Yu, Yin Chen, Xiaosen Jiang, Ziwei Wang and Shuaicheng Li

    Citation: BMC Bioinformatics 2018 19(Suppl 19):516

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  2. Content type: Research

    Distinction between pre-microRNAs (precursor microRNAs) and length-similar pseudo pre-microRNAs can reveal more about the regulatory mechanism of RNA biological processes. Machine learning techniques have been...

    Authors: Yuanlin Ma, Zuguo Yu, Guosheng Han, Jinyan Li and Vo Anh

    Citation: BMC Bioinformatics 2018 19(Suppl 19):521

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  3. Content type: Research

    Early and accurate identification of potential adverse drug reactions (ADRs) for combined medication is vital for public health. Existing methods either rely on expensive wet-lab experiments or detecting exist...

    Authors: Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin and Jinyan Li

    Citation: BMC Bioinformatics 2018 19(Suppl 19):517

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  4. Content type: Research

    Previous studies have suggested deep learning to be a highly effective approach for screening lead compounds for new drugs. Several deep learning models have been developed by addressing the use of various kin...

    Authors: Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato and Yasubumi Sakakibara

    Citation: BMC Bioinformatics 2018 19(Suppl 19):526

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  5. Content type: Research

    The detection and interpretation of CNVs are of clinical importance in genetic testing. Several databases and web services are already being used by clinical geneticists to interpret the medical relevance of i...

    Authors: Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu and Kai Lu

    Citation: BMC Bioinformatics 2018 19(Suppl 19):528

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  6. Content type: Research

    Identifying specific residues for protein-DNA interactions are of considerable importance to better recognize the binding mechanism of protein-DNA complexes. Despite the fact that many computational DNA-bindin...

    Authors: Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu and Hui Liu

    Citation: BMC Bioinformatics 2018 19(Suppl 19):522

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  7. Content type: Research

    The default mode network (DMN) in resting state has been increasingly used in disease diagnosis since it was found in 2001. Prior work has mainly focused on extracting a single DMN with various techniques. How...

    Authors: Shengbing Pei, Jihong Guan and Shuigeng Zhou

    Citation: BMC Bioinformatics 2018 19(Suppl 19):523

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  8. Content type: Research

    Cyclic peptide-based drug discovery is attracting increasing interest owing to its potential to avoid target protein depletion. In drug discovery, it is important to maintain the biostability of a drug within ...

    Authors: Takashi Tajimi, Naoki Wakui, Keisuke Yanagisawa, Yasushi Yoshikawa, Masahito Ohue and Yutaka Akiyama

    Citation: BMC Bioinformatics 2018 19(Suppl 19):527

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  9. Content type: Software

    miRBase is the primary repository for published miRNA sequence and annotation data, and serves as the “go-to” place for miRNA research. However, the definition and annotation of miRNAs have been changed signif...

    Authors: Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li and Thuc Duy Le

    Citation: BMC Bioinformatics 2018 19(Suppl 19):514

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2018 Journal Metrics

  • Citation Impact
    2.511 - 2-year Impact Factor
    2.970 - 5-year Impact Factor
    0.855 - Source Normalized Impact per Paper (SNIP)
    1.374 - SCImago Journal Rank (SJR)


    Social Media Impact
    4446 mentions