Reverse Engineering of Regulatory Networks

Sudip Mandal

ISBN 10: 1071634607 / ISBN 13: 9781071634608

Editore: Springer US, Springer US Okt 2023, 2023

Riguardo questo articolo

Neuware -This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, in-silico drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and S-system based modeling of GRN. 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 key tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Reverse Engineering of Regulatory Networks aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.

Codice articolo 9781071634608

Dati bibliografici

• Titolo: Reverse Engineering of Regulatory Networks
• Editore: Springer US, Springer US Okt 2023
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1071634607
• ISBN 13: 9781071634608
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 260 L x 183 A x 24 P (millimetri) 260 millimetri di larghezza per 183 millimetri di altezza per 24 millimetri di profondità
• Peso: 838 grammi

Descrizione articolo

Riassunto

This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, in-silico drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and  S-system based modeling of GRN. 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 key tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Reverse Engineering of Regulatory Networks aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.