Microarray Technology Methods and Applications

This volume provides updates of this established field in both methods and applications, as well as advances in applications of the microarray method to biomarkers such as DNAs, RNAs, proteins, glycans and whole cells. Written for the Methods in Molecular Biology series, 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 practical, Microarray Technology: Methods and Applications aims to ensure successful results in the further study of this vital field.

Summary

This volume provides updates of this established field in both methods and applications, as well as advances in applications of the microarray method to biomarkers such as DNAs, RNAs, proteins, glycans and whole cells. Written for the
Methods in Molecular Biology
series, 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 practical,
Microarray Technology: Methods and Applications
aims to ensure successful results in the further study of this vital field.

Product details

• Assisted by: Paul C. H. Li (Editor), Abootaleb Sedighi (Editor), Lin Wang (Editor), Paul C.H. Li (Editor), Abootale Sedighi (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 01.01.2016
• Subject: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine
• EAN: 9781493949076
• ISBN: 978-1-4939-4907-6
• Pages: 294
• Illustrations: XIV, 294 p.
• Dimensions (packing): 17.8 x 1.6 x 25.4 cm
• Weight (packing): 588 g
• Series: Methods in Molecular Biology > .1368; Methods in Molecular Biology
• Subjects: B, DV-gestützte Biologie/Bioinformatik, bioinformatics, Human Genetics, Biomedical and Life Sciences, Medical Genetics, Computational and Systems Biology, Microarrays, Computational biology / bioinformatics