Introduction to Computational Systems Biology (Record no. 59387)
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000 -LEADER | |
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fixed length control field | 02184 a2200193 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240328b 2021|||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781138597327 (HB) |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER | |
Universal Decimal Classification number | 577.2:51-3 |
Item number | RAM |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Raman, Karthik |
245 ## - TITLE STATEMENT | |
Title | Introduction to Computational Systems Biology |
Sub Title | : Systems-Level Modelling of Cellular Networks |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher | Chapman and Hall/CRC |
Year of publication | 2021 |
Place of publication | Boca Raton |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xxii, 336p. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introduction to modelling <br/>Introduction to graph theory <br/>Structure of networks <br/>Applications of network biology <br/>Introduction to dynamic modelling<br/>Parameter estimation <br/>Discrete dynamic models: Boolean networks <br/>Introduction to constraint-based modelling <br/>Extending constraint-based approaches <br/>Perturbations to metabolic networks<br/>Modelling cellular interactions <br/>Designing biological circuits <br/>Robustness and evolvability of biological systems <br/> |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields.<br/><br/>Key Features:<br/><br/> 1. A hands-on approach to modelling<br/> 2. Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models<br/> 3. Thoughtful exercises to test and enable understanding of concepts<br/> 4. State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design<br/> 5. Emphasis on coding and software tools for systems biology<br/> 6. Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/<br/><br/>An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Statistical genetics and bioinformatics |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | Computational Biology |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | BOOKS |
Withdrawn status | Lost status | Damaged status | Not for loan | Current library | Shelving location | Full call number | Accession Number | Koha item type |
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IMSc Library | Second Floor, Rack No: 46, Shelf No: 48 | 577.2:51-3 RAM | 77606 | BOOKS |