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Volume 20 Supplement 24

The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: Bioinformatics methods and applications for human diseases


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. Supplement editors were not involved in the review process of any of the manuscripts that they co-authored. The Supplement Editors declare that they have no other competing interests.

Columbia, OH, USA09-11 June 2019

Edited by Zhongming Zhao, Yulin Dai, Chi Zhang, Ewy Mathé, Lai Wei and Kai Wang

Conference website

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

  1. Between June 9–11, 2019, the International Conference on Intelligent Biology and Medicine (ICIBM 2019) was held in Columbus, Ohio, USA. The conference included 12 scientific sessions, five tutorials or worksho...

    Authors: Zhongming Zhao, Yulin Dai, Chi Zhang, Ewy Mathé, Lai Wei and Kai Wang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):676

    The Correction to this article has been published in BMC Bioinformatics 2020 21:148

  2. Various statistical models have been developed to model the single cell RNA-seq expression profiles, capture its multimodality, and conduct differential gene expression test. However, for expression data gener...

    Authors: Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao and Chi Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):672
  3. Signal peptides play an important role in protein sorting, which is the mechanism whereby proteins are transported to their destination. Recognition of signal peptides is an important first step in determining...

    Authors: Jhe-Ming Wu, Yu-Chen Liu and Darby Tien-Hao Chang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):677
  4. Short tandem repeats (STRs) serve as genetic markers in forensic scenes due to their high polymorphism in eukaryotic genomes. A variety of STRs profiling systems have been developed for species including human...

    Authors: Yilin Liu, Jiao Xu, Miaoxia Chen, Changfa Wang and Shuaicheng Li
    Citation: BMC Bioinformatics 2019 20(Suppl 24):671
  5. RNA sequencing technologies have allowed researchers to gain a better understanding of how the transcriptome affects disease. However, sequencing technologies often unintentionally introduce experimental error...

    Authors: Zachary B. Abrams, Travis S. Johnson, Kun Huang, Philip R. O. Payne and Kevin Coombes
    Citation: BMC Bioinformatics 2019 20(Suppl 24):679
  6. Gene expression profiling experiments with few replicates lead to great variability in the estimates of gene variances. Toward this end, several moderated t-test methods have been developed to reduce this vari...

    Authors: Lianbo Yu, Jianying Zhang, Guy Brock and Soledad Fernandez
    Citation: BMC Bioinformatics 2019 20(Suppl 24):675
  7. RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance compu...

    Authors: Venkat Sundar Gadepalli, Hatice Gulcin Ozer, Ayse Selen Yilmaz, Maciej Pietrzak and Amy Webb
    Citation: BMC Bioinformatics 2019 20(Suppl 24):670
  8. Skewness is an under-utilized statistical measure that captures the degree of asymmetry in the distribution of any dataset. This study applied a new metric based on skewness to identify regulators or genes tha...

    Authors: Benjamin V. Church, Henry T. Williams and Jessica C. Mar
    Citation: BMC Bioinformatics 2019 20(Suppl 24):668
  9. Proteomic measurements, which closely reflect phenotypes, provide insights into gene expression regulations and mechanisms underlying altered phenotypes. Further, integration of data on proteome and transcript...

    Authors: Tara Eicher, Andrew Patt, Esko Kautto, Raghu Machiraju, Ewy Mathé and Yan Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):669

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