Computational systems biology: methods and protocols
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 Stu...
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Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2018
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Ausgabe: | 1st ed. 2018 |
Schriftenreihe: | Methods in Molecular Biology
1754 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
Zusammenfassung: | 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. |
Beschreibung: | 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 |
Beschreibung: | 1 Online-Ressource (XII, 417 Seiten) Illustrationen |
ISBN: | 9781493977178 |
DOI: | 10.1007/978-1-4939-7717-8 |
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spelling | Computational systems biology methods and protocols edited by Tao Huang 1st ed. 2018 New York, NY Springer New York 2018 1 Online-Ressource (XII, 417 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1754 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 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. Bioinformatics Systembiologie (DE-588)4809615-5 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Systembiologie (DE-588)4809615-5 s Bioinformatik (DE-588)4611085-9 s DE-604 Huang, Tao (DE-588)1160057699 edt Erscheint auch als Druck-Ausgabe 9781493977161 Erscheint auch als Druck-Ausgabe 9781493977185 Erscheint auch als Druck-Ausgabe 9781493992669 https://doi.org/10.1007/978-1-4939-7717-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Computational systems biology methods and protocols Bioinformatics Systembiologie (DE-588)4809615-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
subject_GND | (DE-588)4809615-5 (DE-588)4611085-9 (DE-588)4143413-4 |
title | Computational systems biology methods and protocols |
title_auth | Computational systems biology methods and protocols |
title_exact_search | Computational systems biology methods and protocols |
title_exact_search_txtP | Computational systems biology methods and protocols |
title_full | Computational systems biology methods and protocols edited by Tao Huang |
title_fullStr | Computational systems biology methods and protocols edited by Tao Huang |
title_full_unstemmed | Computational systems biology methods and protocols edited by Tao Huang |
title_short | Computational systems biology |
title_sort | computational systems biology methods and protocols |
title_sub | methods and protocols |
topic | Bioinformatics Systembiologie (DE-588)4809615-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
topic_facet | Bioinformatics Systembiologie Bioinformatik Aufsatzsammlung |
url | https://doi.org/10.1007/978-1-4939-7717-8 |
work_keys_str_mv | AT huangtao computationalsystemsbiologymethodsandprotocols |