Description

Book Synopsis

Measuring Gene Expression is an all-in-one introduction to the main methods of measuring gene expression.



Trade Review

"This is an excellent book. I wish I had had it a few years ago for my research group. It has all the techniques in one place."

Professor Sir Aaron Klug OM FRS
MRC Laboratory of Molecular Biology
Cambridge, UK



Table of Contents

1. Gene Expression and its Control 2. Isolation and Analysis of RNA 3. Hybridization-based Methods for Measuring Transcript Levels 4. PCR-based Methods for Measuring Transcript Levels 5. Differential Display, Subtractive Hybridization, Amplification Suppression and SAGE Techniques for Measuring Gene Expression 6. Measuring Gene Expression Using Reporter Gene Assays 7. Analysis of the Proteome 8. Statistical Analysis of Gene Expression Data

Measuring Gene Expression

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    £73.14

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    RRP £76.99 – you save £3.85 (5%)

    Order before 4pm tomorrow for delivery by Thu 30 Jul 2026.

    A Paperback / softback by Matthew Avison

    Out of stock

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      Publisher: Taylor & Francis Ltd
      Publication Date: Publication Date: 27/07/2006
      ISBN13: 9780415374729, 978-0415374729
      ISBN10: 0415374723

      Description

      Book Synopsis

      Measuring Gene Expression is an all-in-one introduction to the main methods of measuring gene expression.



      Trade Review

      "This is an excellent book. I wish I had had it a few years ago for my research group. It has all the techniques in one place."

      Professor Sir Aaron Klug OM FRS
      MRC Laboratory of Molecular Biology
      Cambridge, UK



      Table of Contents

      1. Gene Expression and its Control 2. Isolation and Analysis of RNA 3. Hybridization-based Methods for Measuring Transcript Levels 4. PCR-based Methods for Measuring Transcript Levels 5. Differential Display, Subtractive Hybridization, Amplification Suppression and SAGE Techniques for Measuring Gene Expression 6. Measuring Gene Expression Using Reporter Gene Assays 7. Analysis of the Proteome 8. Statistical Analysis of Gene Expression Data

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