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Volume 19 Supplement 6

Selected articles from the 13th International Symposium on Bioinformatics Research and Applications (ISBRA 2017): genomics


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.

Honolulu, Hawaii, USA30 May - 2 June 2017

Conference website

Edited by Zhipeng Cai, Pavel Skums and Alexander Zelikovsky.

Articles from this conference have also been published as a supplement in BMC Bioinformatics.

  1. With the developments of DNA sequencing technology, large amounts of sequencing data have been produced that provides unprecedented opportunities for advanced association studies between somatic mutations and ...

    Authors: Yuchen Yuan, Yi Shi, Xianbin Su, Xin Zou, Qing Luo, David Dagan Feng, Weidong Cai and Ze-Guang Han
    Citation: BMC Genomics 2018 19(Suppl 6):565
  2. Single cell transcriptomics is critical for understanding cellular heterogeneity and identification of novel cell types. Leveraging the recent advances in single cell RNA sequencing (scRNA-Seq) technology requ...

    Authors: Marmar Moussa and Ion I. Măndoiu
    Citation: BMC Genomics 2018 19(Suppl 6):569
  3. In mass spectrometry-based proteomics, protein identification is an essential task. Evaluating the statistical significance of the protein identification result is critical to the success of proteomics studies...

    Authors: Guanying Wu, Xiang Wan and Baohua Xu
    Citation: BMC Genomics 2018 19(Suppl 6):567
  4. While RNA is often created from linear splicing during transcription, recent studies have found that non-canonical splicing sometimes occurs. Non-canonical splicing joins 3’ and 5’ and forms the so-called circ...

    Authors: Xin Li, Chong Chu, Jingwen Pei, Ion Măndoiu and Yufeng Wu
    Citation: BMC Genomics 2018 19(Suppl 6):572
  5. The Human Phenotype Ontology (HPO) is one of the most popular bioinformatics resources. Recently, HPO-based phenotype semantic similarity has been effectively applied to model patient phenotype data. However, ...

    Authors: Jiajie Peng, Hansheng Xue, Weiwei Hui, Junya Lu, Bolin Chen, Qinghua Jiang, Xuequn Shang and Yadong Wang
    Citation: BMC Genomics 2018 19(Suppl 6):571

Annual Journal Metrics

  • 2022 Citation Impact
    4.4 - 2-year Impact Factor
    4.7 - 5-year Impact Factor
    1.189 - SNIP (Source Normalized Impact per Paper)
    1.107 - SJR (SCImago Journal Rank)

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    23 days submission to first editorial decision for all manuscripts (Median)
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