Gene Function Analysis (eBook, PDF)

Redaktion: Ochs, Michael F.

• Format: PDF

Produktbeschreibung

With the advent of high-throughput technologies, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. In Gene Function Analysis, a select team of experts bring together a number of recently developed techniques for studying gene function. The volume begins with a variety of computational techniques, which provide an excellent point of departure for the cutting-edge experimental methods that follow. Written in the highly successful Methods in Molecular Biology(TM) series format, each chapter surveys its subject with readily reproducible laboratory protocols, a list of the necessary materials, and the popular Notes section, which contains tips for troubleshooting and avoiding known pitfalls.

Comprehensive and timely, Gene Function Analysis offers researchers a clear guide and the important tools they need to further study the intricate human genome.

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Produktdetails

• Verlag: Humana Press
• Seitenzahl: 337
• Erscheinungstermin: 3. Februar 2008
• Englisch
• ISBN-13: 9781597455473
• Artikelnr.: 64701797

Autorenporträt

Michael Ochs, Fox Chase Cancer Center, Philadelphia, PA, USA

Inhaltsangabe

Computational Methods I.- Gene Function Inference From Gene Expression of Deletion Mutants.- Association Analysis for Large-Scale Gene Set Data.- Estimating Gene Function With Least Squares Nonnegative Matrix Factorization.- From Promoter Analysis to Transcriptional Regulatory Network Prediction Using PAINT.- Prediction of Intrinsic Disorder and Its Use in Functional Proteomics.- Computational Methods II.- Sybil: Methods and Software for Multiple Genome Comparison and Visualization.- Estimating Protein Function Using Protein-Protein Relationships.- Bioinformatics Tools for Modeling Transcription Factor Target Genes and Epigenetic Changes.- Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS).- Statistical Methods for Identifying Differentially Expressed Gene Combinations.- Experimental Methods.- Gene Function Analysis Using the Chicken B-Cell Line DT40.- Design and Application of a shRNA-Based Gene Replacement Retrovirus.- Construction of Simple and Efficient DNA Vector-Based Short Hairpin RNA Expression Systems for Specific Gene Silencing in Mammalian Cells.- Selection of Recombinant Antibodies From Antibody Gene Libraries.- A Bacterial/Yeast Merged Two-Hybrid System.- A Bacterial/Yeast Merged Two-Hybrid System.- Engineering Cys2His2 Zinc Finger Domains Using a Bacterial Cell-Based Two-Hybrid Selection System.

Rezensionen

From the reviews:

"'Gene Function Analysis' is volume 408 of the 'Methods in Molecular Biology' series. The aim of the book is to provide both in silico and laboratory methods for the functional analysis of the large amount of gene expression data generated from high throughput technologies such as microarrays. ... This book would certainly be a useful addition to a laboratory interested in assessing gene function through both bioinformatic and 'wet' approaches. Definitely one for the more (toxico)genomically challenged amongst us." (James Sidaway, British Toxicology Society Newsletter, Summer, 2008)