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Author:   David T. Stuart
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   2nd ed. 2017
Volume:   1471
Dimensions:   Width: 17.80cm , Height: 2.10cm , Length: 25.40cm
Weight:   7.977kg
ISBN:  

9781493963386

ISBN 10:   1493963384
Pages:   337
Publication Date:   27 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Genetic Approaches to Study Meiosis and Meiosis-Specific Gene Expression in Saccharomyces cerevisiae.- Quantitative Genome-Wide Measurements of Meiotic DNA Double-Strand Breaks and Protein-Binding in S. pombe.- Sequencing Spo11 Oligonucleotides for Mapping Meiotic DNA Double-Strand Breaks in Yeast.- Ribosome Profiling for the Analysis of Translation During Yeast Meiosis.- Selection of G1 Phase Yeast Cells for Synchronous Meiosis and Sporulation.- Fluorescent Protein as a Tool for Investigating Meiotic Recombination in Neurospora.- High Throughput Screening to Identify Regulators of Meiosis-Specific Gene Expression in Saccharomyces cerevisiae.- Analysis of Meiotic Chromosome-Associated Protein Dynamics Using Conditional Expression in Budding Yeast.- In Vivo Imaging of Budding Yeast Meiosis.- Sequential Immunofluorescent Light Microscopy and Electron Microscopy of Recombination Nodules During Meiotic Prophase I.- Flow Cytometry for theIsolation and Characterization of Rodent Meiocytes.- Imaging of Chromosome Dynamics in Mouse Testis Tissue by Immuno-FISH.- Imaging Chromosome Separation in Mouse Oocytes by Responsive 3D Confocal Timelapse Microscopy.- Live Imaging of Meiosis I in Late Stage Drosophila melanogaster Oocytes.- Microscopy Methods for Analysis of Spindle Dynamics in Meiotic Drosophila Spermatocytes.- Drosophila Male Meiosis.- Analysis of Chromatin Dynamics During Drosophila Spermatogenesis.- Modeling of Meiotic Crossover Interference as Inspired by the Beam-Film Model.- A Computational Approach to Study Gene Expression Networks.

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