Plant Bioinformatics Decoding the Phyta

About this book

Plant Bioinformatics: Decoding the Phyta: (i) introduces fundamental and applied bioinformatics research in the field of plant life sciences; (ii) enlightens the potential users towards the recent advances in the development and application of novel computational methods available for the analysis and integration of plant -omics data; (iii) highlights relevant databases, softwares, tools and web resources developed till date to make ease of access for researchers working to decipher plant responses towards stresses; and (iv) presents a critical cross-talks on the available high-throughput data in plant research. Therefore, in addition to being a reference for the professional researchers, it is also of great interest to students and their professors.

Considering immense significance of plants for all lives on Earth, the major focus of research in plant biology has been to: (a) select plants that best fit the purposes of human, (b) develop crop plants superior in quality, quantity and farming practices when compared to natural (wild) plants, and (c) explore strategies to help plants to adapt biotic and abiotic/environmental stress factors. Accordingly the development of novel techniques and their applications have increased significantly in recent years. In particular, large amount of biological data have emerged from multi-omics approaches aimed at addressing numerous aspects of the plant systems under biotic or abiotic stresses. However, even though the field is evolving at a rapid pace, information on the cross-talks and/or critical digestion of research outcomes in the context of plant bioinformatics is scarce. Plant Bioinformatics: Decoding the Phyta is aimed to bridge this gap.

Contents

1. Introduction to fundamental and applied bioinformatics research in plant life sciences
Concept, development and application of novel computational methods for the analysis and integration of -omics data
3. Impact of high-throughput techniques on plant translational research
4. Functional genomics approaches in plant research
5. Bioinformatical versus experimental analyses of small RNAs in plants
6. Systems analyses of plant functions
7. Phylogenetic analyses and whole genome duplication (WGD) events
8. Application of bioinformatics in agriculture, plant breeding and, improved complex traits (e.g. yield and quality)
9. Application of bioinformatics in developing resistance against insects and harsh environments
10. Discovery of molecular markers such as single sequence repeats (SSRs) involved in gene mapping, molecular breeding and genetic diversity
11. Significance of bioinformatics in the new crop diseases-emergence
12. From genomics to the improved crop phenotype
13. Deciphering the effects of microbiome on plants using computational methods
14. Bioinformatics resources for plants
15. Recent Technological advances in plant bioinformatics
16. `Big Data' challenges and future trends in plant bioinformatics research

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