Buch, Englisch, 417 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 808 g
Reihe: Methods in Molecular Biology
Methods and Protocols
Buch, Englisch, 417 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 808 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-9266-9
Verlag: Springer
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 ensure successful results in the further study of this vital field.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
1. DNA Sequencing Data Analysis
Keyi Long, Lei Cai, and Lin He
2. Transcriptome Sequencing: RNA-seq
Hong Zhang, Lin He, and Lei Cai
3. 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, Robert W. Murphy, Wen-Zhi Wang, and Ya-Ping Zhang
4. The Introduction and Clinical Application of Cell-free Tumour DNAJun Li, Renzhong Liu, Cuihong Huang, and Mingyan Xu
5. Bioinformatics Analysis for Cell-free Tumor DNA Sequencing DataShifu Chen, Ming Liu, and Yanqing Zhou
6. An Overview of Genome-Wide Association Studies
Michelle Chang, Lin He, and Lei Cai7. Integrative Analysis of Omics Big Data
Xiang-tian Yu, Tao Zeng
8. The Reconstruction and Analysis of Gene Regulatory Networks
Guangyong Zhengand Tao Huang
9. Differential Coexpression Network Analysis for Gene Expression Data Bao-hong Liu10. iSeq: Web-based RNA-seq Data Analysis and Visualization
Chao Zhang, Caoqi Fan, Jingbo Gan, Ping Zhu, Lei Kong, and Cheng Li 11. Revisit of Machine Learning Supported Biological and Biomedical StudiesXiang-tian Yu, Lu Wang, and Tao Zeng
12.
Wei Lan, Liyu Huang, Dehuan Lai, and Qingfeng Chen
13. Survey Of Computational Approaches For Prediction of DNA-binding Residues on Protein Surfaces
Yi Xiong, Xiaolei Zhu, Hao Dai, and Dong-Qing Wei
14. Computational Prediction of Protein O-GlcNAc Modification
Cangzhi Jia and Yun Zuo
15. Machine Learning Based Modeling of Drug Toxicity
Jing Lu, Dong Lu, Zunyun Fu, Mingyue Zheng, and Xiaomin Luo
16. Metabolomics: A High-throughput Platform for Metabolite Profile Exploration
Jing Cheng, Wenxian Lan, Guangyong Zheng, and Xianfu Gao
17. Single-Cell Protein Assays--A Review
Beiyuan Fan, Junbo Wang, Ying Xu, and Jian Chen
18. Data Analysis in Single-cell Transcriptome Sequencing
Shan Gao19. Applications of Single-cell Sequencing for Multi-omics
Yungang Xu and Xiaobo Zhou20. Progress on Diagnosis of Tuberculous Meningitis
Yi-yi Wang and Bing-di Xie
21. Insights of Acute Lymphoblastic Leukemia with Development of Genomic InvestigationHeng Xu and Yang Shu
