"Over recent decades, in the fields of plant biology and crop breeding, a huge amount of sequencing data and omics-related information involving genomics, transcriptomics, proteomics, interactome, and so on, have been produced and continue to increase dramatically. In the meantime, bioinformatics tools were developed and upgraded to be capable of analyzing the resulting big data, which can reveal new aspects of biological mechanisms and networks as well as acquire the genetic information of agronomic traits to aid in breeding programs of crops. Bioinformatics tools are powerful to solve biological problems by predicting novel functions of genes, protein-to-protein interactions, and biological networks. Nowadays, these tools are indispensable, and the knowledge of bioinformatics/systems biology is increasingly prosperous"--
Explore and advance bioinformatics and systems biology tools for crop breeding programs in this practical resource for researchers
Plant biology and crop breeding have produced an immense amount of data in recent years, from genomics to interactome and beyond. Bioinformatics tools, which aim at analyzing the vast quantities of data produced by biological research and processes, have developed at a rapid pace to meet the challenges of this vast data trove. The resulting field of bioinformatics and systems biology is producing increasingly rich and transformative research.
Bioinformatics for Plant Research and Crop Breeding offers an overview of this field, its recent advances, and its wider applications. Drawing on a range of analytical and data-science tools, its foundation on an in-silico platform acquired multi-omics makes it indispensable for scientists and researchers alike. It promises to become ever more relevant as new techniques for generating and organizing data continue to transform the field.
Bioinformatics for Plant Research and Crop Breeding readers will also find:
- A focus on emerging trends in plant science, sustainable agriculture, and global food security
- Detailed discussion of topics including plant diversity, plant stresses, nanotechnology in agriculture, and many others
- Applications incorporating artificial intelligence, machine learning, deep learning and more
Bioinformatics for Plant Research and Crop Breeding is ideal for researchers and scientists interested in the potential of OMICs, and bioinformatic tools to aid and develop crop improvement programs.
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