A common approach to understanding the functional repertoire of a genome is through functional
genomics. With systems biology burgeoning bioinformatics has grown to a larger extent for
plant genomes where several applications in the form of protein-protein interactions (PPI) are
used to predict the function of proteins. With plant genes evolutionarily conserved the
science of bioinformatics in agriculture has caught interest with myriad of applications taken
from bench side to in silico studies. A multitude of technologies in the form of gene analysis
biochemical pathways and molecular techniques have been exploited to an extent that they
consume less time and have been cost-effective to use. As genomes are being sequenced there is
an increased amount of expression data being generated from time to time matching the need to
link the expression profiles and phenotypic variation to the underlying genomic variation. This
would allow us to identify candidate genes and understand the molecular basis phenotypic
variation of traits. While many bioinformatics methods like expression and whole genome
sequence data of organisms in biological databases have been used in plants we felt a common
reference showcasing the reviews for such analysis is wanting. We envisage that this dearth
would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank
all the authors and the publishers Springer Germany for providing us an opportunity to review
the bioinformatics works that the authors have carried in the recent past and hope the readers
would find this book attention grabbing.
