Main description:

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes.

The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic and metabolomics data. Using examples of new crop diseases-emergence, crop productivity and biotic/abiotic stress tolerance, this book illustrates how bioinformatics can be an integral components of modern day plant science research.

Contents:

System analyses of Agricultural crops.
Practicle bioinformatic techniques for biologists studying plants, and biotic and abiotic stresses;
Bioinformatics significance in the new crop diseases-emergence;
Bioinformatics importance in the high crop production;
Solving the salt stress tolerance in Crop Plants: A Bioinformatics Approach
Bioinformatics tools for high-throughput marker discovery using microarrays and high-throughput sequencing;
Identification of novel peptides/proteins involved in oxidative stress tolerance using bioinformatics;
Available high-throughput data versus plant bioinformatics;
Bioinformatical versus experimental analyses of plant small RNAs;
Functional genomics approaches in plant research;
Cereal crops: Genetics and Genomics Database
Metabolomic approaches in plant research;
As

sessment of the confidence of phylogenetic tree selection; Systems analyses of plant functions and structures.
Application of bioinformatics in agriculture
Application of bioinformatics in horticulture