Abstract
Erich Grotewold has assembled a team of leading plant scientists to describe in detail the most commonly used methods for investigating plant gene function in a wide variety of plants, during plant pathogen interactions, and even in algae. These readily reproducible protocols include computational, molecular, and genetic methodologies designed for both general and specific problems. Here the reader will learn about powerful computational and statistical tools to help predict gene function either on the basis of comparative genomics, or from the analysis of complex genome sequences. Numerous loss-of-function and gain-of-function techniques for discovering gene function are presented in step-by-step detail.

From Book News, Inc.
Academy researchers and industry practitioners from the US and Australia, with a few European outliers, offer a detailed guide to some of the most commonly used approaches to investigating plant gene function. Rather than focusing on the usual model systems, they include methods for a wide variety of plants, path pathogens, and even some algae. The combination of detailed computational, molecular, and genetic protocols focusing on both general and specific problems, is designed to allow plant biologists with little or no experience in the specific areas covered to investigate gene function associated with their particular system of interest.Copyright 2004 Book News, Inc., Portland, OR

Book Info
Text provides a detailed description and guide to some of the most commonly used approaches to investigating plant gene function. Covers recent efforts devised for investigating a wide variety of plants, plant pathogens, and some algae. Aimed at plant biologists with a wide range of interests. DLC: Plant molecular genetics.

Book Description
Erich Grotewold has assembled a team of leading plant scientists to describe in detail the most commonly used methods for investigating plant gene function in a wide variety of plants, during plant pathogen interactions, and even in algae. These readily reproducible protocols include computational, molecular, and genetic methodologies designed for both general and specific problems. Here the reader will learn about powerful computational and statistical tools to help predict gene function either on the basis of comparative genomics, or from the analysis of complex genome sequences. Numerous loss-of-function and gain-of-function techniques for discovering gene function are presented in step-by-step detail.