Computational Methods in Synthetic Biology

Mario Andrea Marchisio

ISBN 10: 107160824X / ISBN 13: 9781071608241

Published by Springer US, Springer New York Nov 2021, 2021

About this Item

Neuware -This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology. New chapters detail computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Computational Methods in Synthetic Biology, Second Edition aims to feature a broad overview of the research areas that can be met in the area of in silico Synthetic Biology.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.

Seller Inventory # 9781071608241

Bibliographic Details

• Title: Computational Methods in Synthetic Biology
• Publisher: Springer US, Springer New York Nov 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 107160824X
• ISBN 13: 9781071608241
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu

About this title

Synopsis

This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology.  New chapters detail computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Computational Methods in Synthetic Biology, Second Edition aims to feature a broad overview of the research areas that can be met in the area of in silico Synthetic Biology.