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Advances in genomics and bioinformatics have revolutionized our understanding of structural and functional aspects of plant genomes and have made it possible to extrapolate our understanding from model plants to cultivated crops. Complete genome sequences and a number of expressed sequences have become available which when coupled with traditional breeding methodologies will facilitate the crop improvement. New researches in genomics and bioinformatics has been contributing to crop improvement either by a better understanding of the biological mechanisms which can lead to new or improved screening methods for selecting superior genotypes more efficiently and/ or by providing new knowledge which can improve the decision-making process for more efficient breeding strategies. Any approach towards a sustainable future will require us to integrate both genetic and genomic knowledge that will provide opportunity to harness the power of plant genomics to create crops with improved traits. Functional genomics has radically changed the way scientists approach biological questions. The purpose of bringing out this publication is to provide latest available information on genomics, proteomics and application of bioinformatics in crop improvements and to give examples of its use. The book covers current status of our knowledge about an over all up-to-date progress of genomics and bioinformatics in crop improvement and future prospects, Path binder Have a tool for sentence-found plant taxonomy sensitive access, key-string algorithm, bioinformatics software resources, prediction and annotation of plant protein interaction networks, projection of the flux cone of a metabolic network, transcription factors binding sites with variable order by Asian networks, functional diversity of plant glutathione transferees, genomic DNA amplification finger printing in Charophycean diversity, recent advances in genomics in individual crops like, soybean, sugarcane and sorghum, role of proteomics in understanding molecular basis of stress tolerance in plants and molecular mechanism of vernalization response and their application in grass breeding. The issue is relevant and timely in view of the rapidly expanding international trade of biotechnology for crop improvements. We hope that expertise shared in the issue could incur researchers to employ innovative approaches in handling and management of various issues in genomics, bioinformatics models, software, and biotechnology on a global scale.
- Table Of Content
Title Plant Genomics & Bioinformatics Table of Content Genomics and Bioinformatics in Crop Improvement - An Introduction. Map-based Cloning of Agronomically Important Genes. A Reference Model for Describing and Integrating the Process and Technology Views of Bioinformatics Software Resources. Key String Algorithm- New Computational Method for Identification and Analysis of Very Long Repeats in Genomic Sequences. Path Binder H: A Tool for Sentence-Focused, Plant Taxonomy-Sensitive Access to the Biological Literature. Projections of the Flux Cone of a Metabolic Network, Recognition of Transcription Factor Binding Sites with Variable-order Bayesian Networks. A Method for Identifying Proteins of a Given Class from the Genome Sequence. Prediction and Annotation of Plant Protein Interaction Networks. Functional Diversity of Plant Glutathione Transferases. Proteomics Studies to Understand the Molecular Basis of Stress Tolerance in Plants. Genomic DNA Amplification Finger Printing: A New Tool for Charophycean Biodiversity. Molecular Mechanisms of Vernalization Response and their Application in Grass Breeding. Sugarcane Genomics and Bioinformatics. Molecular Characterization of Anthracnose Resistance Gene in Sorghum. Recent Advances in Soybean Genomics and Bioinformatics. Subject Index. Page No. 424 Author's Name G.P. Rao, Clemens Wagner, R.K. Singh and M.L. Sharma Publisher Studium Press LLC Year Of Publication 2009 ISBN 10 1-933699-39-6 ISBN 13 No About The Book No Binding type No Book Size(len) No Series No book size(hei) 9.5 Book size width 6.5 Edition 1st
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