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Bioinformatics Research and Applications

16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Zhipeng Cai

    1. Department of Computer Science, Georgia State University, Atlanta, USA

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  2. Ion Mandoiu

    1. University of Connecticut, Storrs Mansfield, USA

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  3. Giri Narasimhan

    1. Florida International University, Miami, USA

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  4. Pavel Skums

    1. Georgia State University, Atlanta, USA

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  5. Xuan Guo

    1. University of North Texas, Denton, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12304)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ISBRA 2020.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples

    • Fahad Alqahtani, Ion I. Măndoiu
    Pages 1-12

  3. Signet Ring Cell Detection with Classification Reinforcement Detection Network

    • Sai Wang, Caiyan Jia, Zhineng Chen, Xieping Gao
    Pages 13-25

  4. SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control

    • Hao Gao, Min Li, Fang-Xiang Wu
    Pages 26-37

  5. Identification of a Novel Compound Heterozygous Variant in NBAS Causing Bone Fragility by the Type of Osteogenesis Imperfecta

    • D. A. Petukhova, E. E. Gurinova, A. L. Sukhomyasova, N. R. Maksimova
    Pages 38-43

  6. Isoform-Disease Association Prediction by Data Fusion

    • Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu
    Pages 44-55

  7. EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings

    • Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
    Pages 56-67

  8. Improving Metagenomic Classification Using Discriminative k-mers from Sequencing Data

    • Davide Storato, Matteo Comin
    Pages 68-81

  9. Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography

    • Shan Gao, Renmin Han, Xiangrui Zeng, Xuefeng Cui, Zhiyong Liu, Min Xu et al.
    Pages 82-94

  10. Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost

    • Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li
    Pages 95-104

  11. mapAlign: An Efficient Approach for Mapping and Aligning Long Reads to Reference Genomes

    • Wen Yang, Lusheng Wang
    Pages 105-118

  12. Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer

    • Nadav Brandes, Nathan Linial, Michal Linial
    Pages 119-126

  13. Testing the Agreement of Trees with Internal Labels

    • David Fernández-Baca, Lei Liu
    Pages 127-139

  14. SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data

    • Wenyan Gu, Aizhong Zhou, Lusheng Wang, Shiwei Sun, Xuefeng Cui, Daming Zhu
    Pages 140-153

  15. De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization

    • Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang
    Pages 154-165

  16. Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks

    • Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
    Pages 166-177

  17. MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron

    • Na Li, Guihua Duan, Cheng Yan, Fang-Xiang Wu, Jianxin Wang
    Pages 178-188

  18. Checking Phylogenetic Decisiveness in Theory and in Practice

    • Ghazaleh Parvini, Katherine Braught, David Fernández-Baca
    Pages 189-202

  19. TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity

    • Saurav Dhar, Chengchen Zhang, Ion Mandoiu, Mukul S. Bansal
    Pages 203-216

  20. Cancer Breakpoint Hotspots Versus Individual Breakpoints Prediction by Machine Learning Models

    • Kseniia Cheloshkina, Islam Bzhikhatlov, Maria Poptsova
    Pages 217-228
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  1. Bioinformatics Research and Applications

Keywords

About this book

This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020.
The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.

Editors and Affiliations

  • Department of Computer Science, Georgia State University, Atlanta, USA

    Zhipeng Cai

  • University of Connecticut, Storrs Mansfield, USA

    Ion Mandoiu

  • Florida International University, Miami, USA

    Giri Narasimhan

  • Georgia State University, Atlanta, USA

    Pavel Skums

  • University of North Texas, Denton, USA

    Xuan Guo

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