In Silico Tools for Gene Discovery

Name: In Silico Tools for Gene Discovery
Brand: Humana Press Inc.
SKU: 9781617791758
Price: 154.5 EUR
Availability: InStock

Автор: Bing Yu, Marcus Hinchcliffe

Език:

Корици: С твърди корици

Издател: Humana Press Inc.

Наличност: Външен склад

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154.50 € 302.18 лв

As functional genomics has become one of the major focuses in molecular biology, the need for more s...

Информация за книгата

Автор

Bing Yu, Marcus Hinchcliffe

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2011

страници

365

EAN

9781617791758

ISBN

161779175X

Enbook ID

01432583

Издател

Humana Press Inc.

Теглоt

870

Размери

182 x 259 x 27

Пълно описание

As functional genomics has become one of the major focuses in molecular biology, the need for more sophisticated tools to assist in the identification of the functionality of undefined genes and the correlation of DNA variants with a particular phenotype has increased greatly. In Silico Tools for Gene Discovery collects many common and useful in silico tools available today. The volume begins by investigating locus mapping information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico PCR, and statistical analysis. It continues with a section on gene discovery from a defined locus, including gene prioritization, knowledge tracking, and data mining, and concludes with several useful in silico tools presented for the functional characterization of genes, which include DNA sequencing analysis, variant characterization, as well as RNA and protein analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible protocols, and vital notes on troubleshooting and avoiding known pitfalls.§Resourceful and easy to follow, In Silico Tools for Gene Discovery seeks to facilitate scientists with further key research on locus mapping, to accelerate gene identification, and to help ascertain the functionality of DNA variation.

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