Name: Plant Circadian Networks: Methods and Protocols (Methods in Molecular Biology) (en Inglés)
SKU: 57054742
Price: 129.69 USD
Availability: InStock
Author: Staiger Dorothee,Davis Seth,Davis Amanda Melaragno
ISBN: 9781071619148

portada Plant Circadian Networks: Methods and Protocols (Methods in Molecular Biology) (en Inglés)

Plant Circadian Networks: Methods and Protocols (Methods in Molecular Biology) (en Inglés)

Formato

Libro Físico

Editorial

Humana

Autor

Staiger Dorothee,Davis Seth,Davis Amanda Melaragno

Idioma

Inglés

N° páginas

260

Encuadernación

Tapa Blanda

ISBN13

9781071619148

N° edición

Plant Circadian Networks: Methods and Protocols (Methods in Molecular Biology) (en Inglés)

Staiger Dorothee,Davis Seth,Davis Amanda Melaragno (Autor) · Humana · Tapa Blanda

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Reseña del libro "Plant Circadian Networks: Methods and Protocols (Methods in Molecular Biology) (en Inglés)"

This second edition provides new and updated protocols to investigate clock-controlled parameters including period estimations and entrainment measurements and modelling. Chapters detail promoter activity using luciferase reporters, fluorescent-tagging of clock proteins and cellular imaging, protein level measurements, regulated RNA splicing detection, post-translational modifications, protein-protein interactions, and protein DNA/chromatin interactions. Additional chapters focus on seasonal processes like hypocotyl growth and flowering time control in annuals and trees, and techniques on soybean. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and practical, Plant Circadian Networks: Methods and Protocols, Second Edition is designed not only for the chronobiology community dealing with circadian biology but also for the plant community in general. "Period estimation and rhythm detection in timeseries data using BioDare2, the free, online, community resource" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.