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Computational Systems Biology : Methods and Protocols / edited by Tao Huang.
Holman Biotech Commons QH506 .M45 v.1 (1984)-v.20 (1993),v.22 (1994),v.24 (1994)-v.53 (1996), v.42 (1995) and v.51 (1995) reported missing 3-13-2000 v.55 (1995),v.58 (1996)-v.63 (1997), v.65 (1996)-v.154 (2001), v.156 (2001)-190 (2002), v.192 (2002)-v.407 (2007) v.409 (2007)-v.416 (2008),v.418 (2008)-v.466 v.468-v.490,v.492,v.494,v.496-499 501-506,508,510-512,514,516-517,519-536 538,540-569,571 573-589,591-608,610-615,617,620-627,630-633,636,638,642
Available
- Format:
- Book
- Series:
- Methods in molecular biology 1064-3745 ; 1754.
- Methods in Molecular Biology, 1064-3745 ; 1754
- Language:
- English
- Subjects (All):
- Life sciences.
- Bioinformatics.
- Life Sciences.
- Local Subjects:
- Life Sciences.
- Bioinformatics.
- Physical Description:
- 1 online resource (XII, 417 pages) : 48 illustrations, 38 illustrations in color.
- Contained In:
- Springer eBooks
- Place of Publication:
- New York, NY : Springer New York : Imprint: Humana Press, 2018.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- DNA Sequencing Data Analysis
- Transcriptome Sequencing: RNA-seq
- Capture Hybridization of Long-range DNA Fragments for High-throughput Sequencing
- The Introduction and Clinical Application of Cell-free Tumour DNA
- Bioinformatics Analysis for Cell-free Tumor DNA Sequencing Data
- An Overview of Genome-Wide Association Studies
- Integrative Analysis of Omics Big Data
- The Reconstruction and Analysis of Gene Regulatory Networks
- Differential Coexpression Network Analysis for Gene Expression Data
- iSeq: Web-based RNA-seq Data Analysis and Visualization
- Revisit of Machine Learning Supported Biological and Biomedical Studies
- Identifying Interactions Between Long Non-coding RNAs and Diseases Based on Computational Methods
- Survey Of Computational Approaches For Prediction of DNA-binding Residues on Protein Surfaces
- Computational Prediction of Protein O-GlcNAc Modification
- Machine Learning Based Modeling of Drug Toxicity
- Metabolomics: A High-throughput Platform for Metabolite Profile Exploration
- Single-Cell Protein Assays
- A Review
- Data Analysis in Single-cell Transcriptome Sequencing
- Applications of Single-cell Sequencing For Multi-omics
- Progress on Diagnosis of Tuberculous Meningitis
- Insights of Acute Lymphoblastic Leukemia with Development of Genomic Investigation.
- Other Format:
- Printed edition:
- ISBN:
- 9781493977178
- Access Restriction:
- Restricted for use by site license.
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