As genomic science and potential gene therapies continue to develop, the detection of mutations plays an increasingly central role in diverse areas of biology. With innumerable detection techniques available spanning multiple disciplines, the choice of the best method for a particular study can prove exceedingly difficult. Complexity, equipment requirements, cost, and throughput are all factors to consider, along with the huge amount of information already available through genome sequencing projects. An essential go-to for informed decision-making, the Guide to Mutation Detection is the only single source for the theory and practice of mutation analysis needed to design an experiment. User-friendly, concise, and expertly edited by recognized leaders in the field, the text provides a cutting-edge reference that is still accessible to those with no experience in mutation analysis. The coverage is divided into two sections, with the first section reviewing such topics as: Key technologies Mutation scanning Cleavage Quality control High throughput approaches Databases Nomenclatures The second section focuses on step-by-step protocols and discussion of methods, including: Tag-array minisequencing Electronic hybridization Pyrosequencing Fluorescent Single-Stranded Conformation Polymorphism (SSCP) Denaturing High-Performance Liquid Chromatography (DHPLC) Array Comparative Genomic Hybridization (ACGH) Microplate Array Diagonal Gel Electrophoresis (MADGE) Throughout the text, the emphasis remains on practical applications. The detailed protocols derive from the well-regarded Human Genome Organization (HUGO) training course, particularly those in Montpellier, France, 2002, organized by Mirielle Claustres, Johan den Dunnen, and Graham Taylor. Useful appendices contain important safety data, supplier lists, and bioinformatics resources. Up-to-date, user friendly, and comprehensive, the Guide to Mutation Detection is an invaluable resource for students and practitioners working across a wide range of genetics-related disciplines.

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