Skip to main content
SpringerLink
Log in
Book cover

Computational Systems Biology

Methods and Protocols

  • Book
  • © 2018

Overview

Editors:
  1. Tao Huang

    1. Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 1754)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (21 protocols)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. DNA Sequencing Data Analysis

    • Keyi Long, Lei Cai, Lin He
    Pages 1-13

  3. Transcriptome Sequencing: RNA-Seq

    • Hong Zhang, Lin He, Lei Cai
    Pages 15-27

  4. Capture Hybridization of Long-Range DNA Fragments for High-Throughput Sequencing

    • Xing Chen, Gang Ni, Kai He, Zhao-Li Ding, Gui-Mei Li, Adeniyi C. Adeola et al.
    Pages 29-44

  5. The Introduction and Clinical Application of Cell-Free Tumor DNA

    • Jun Li, Renzhong Liu, Cuihong Huang, Shifu Chen, Mingyan Xu
    Pages 45-65

  6. Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data

    • Shifu Chen, Ming Liu, Yanqing Zhou
    Pages 67-95

  7. An Overview of Genome-Wide Association Studies

    • Michelle Chang, Lin He, Lei Cai
    Pages 97-108

  8. Integrative Analysis of Omics Big Data

    • Xiang-Tian Yu, Tao Zeng
    Pages 109-135

  9. The Reconstruction and Analysis of Gene Regulatory Networks

    • Guangyong Zheng, Tao Huang
    Pages 137-154

  10. Differential Coexpression Network Analysis for Gene Expression Data

    • Bao-Hong Liu
    Pages 155-165

  11. iSeq: Web-Based RNA-seq Data Analysis and Visualization

    • Chao Zhang, Caoqi Fan, Jingbo Gan, Ping Zhu, Lei Kong, Cheng Li
    Pages 167-181

  12. Revisit of Machine Learning Supported Biological and Biomedical Studies

    • Xiang-tian Yu, Lu Wang, Tao Zeng
    Pages 183-204

  13. Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods

    • Wei Lan, Liyu Huang, Dehuan Lai, Qingfeng Chen
    Pages 205-221

  14. Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces

    • Yi Xiong, Xiaolei Zhu, Hao Dai, Dong-Qing Wei
    Pages 223-234

  15. Computational Prediction of Protein O-GlcNAc Modification

    • Cangzhi Jia, Yun Zuo
    Pages 235-246

  16. Machine Learning-Based Modeling of Drug Toxicity

    • Jing Lu, Dong Lu, Zunyun Fu, Mingyue Zheng, Xiaomin Luo
    Pages 247-264

  17. Metabolomics: A High-Throughput Platform for Metabolite Profile Exploration

    • Jing Cheng, Wenxian Lan, Guangyong Zheng, Xianfu Gao
    Pages 265-292

  18. Single-Cell Protein Assays: A Review

    • Beiyuan Fan, Junbo Wang, Ying Xu, Jian Chen
    Pages 293-309

  19. Data Analysis in Single-Cell Transcriptome Sequencing

    • Shan Gao
    Pages 311-326

  20. Applications of Single-Cell Sequencing for Multiomics

    • Yungang Xu, Xiaobo Zhou
    Pages 327-374
Back to top

Keywords

About this book

This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such as Genome-Wide Association Studies (GWAS), machine learning, reconstruction and analysis of gene regulatory networks and differential coexpression network analysis, and gave a practical guide for how to choose and use the right algorithm or software to handle specific high throughput data or multi-omics data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Systems Biology: Methods and Protocols aims to ensuresuccessful results in the further study of this vital field. 

Editors and Affiliations

  • Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

    Tao Huang

Bibliographic Information

  • Book Title: Computational Systems Biology

  • Book Subtitle: Methods and Protocols

  • Editors: Tao Huang

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-7717-8

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018

  • Hardcover ISBN: 978-1-4939-7716-1Published: 14 March 2018

  • Softcover ISBN: 978-1-4939-9266-9Published: 10 December 2019

  • eBook ISBN: 978-1-4939-7717-8Published: 13 March 2018

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XII, 417

  • Number of Illustrations: 10 b/w illustrations, 38 illustrations in colour

  • Topics: Bioinformatics

Publish with us

Policies and ethics

Back to top

Search

Navigation