Agricultural Bioinformatics by Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala PDF

By Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala

ISBN-10: 8132218795

ISBN-13: 9788132218791

ISBN-10: 8132218809

ISBN-13: 9788132218807

A universal method of realizing the sensible repertoire of a genome is thru sensible genomics. With structures biology burgeoning, bioinformatics has grown to a bigger quantity for plant genomes the place a number of purposes within the type of protein-protein interactions (PPI) are used to foretell the functionality of proteins. With plant genes evolutionarily conserved, the technology of bioinformatics in agriculture has stuck curiosity with myriad of purposes taken from bench aspect to in silico reports. a mess of applied sciences within the kind of gene research, biochemical pathways and molecular concepts were exploited to an quantity that they eat much less time and feature been reasonably-priced to take advantage of. As genomes are being sequenced, there's an elevated volume of expression information being generated every now and then matching the necessity to hyperlink the expression profiles and phenotypic edition to the underlying genomic version. this may let us establish candidate genes and comprehend the molecular basis/phenotypic edition of qualities. whereas many bioinformatics tools like expression and entire genome series info of organisms in organic databases were utilized in crops, we felt a typical reference showcasing the experiences for such research is in need of. We envisage that this dearth will be facilitated within the type of this Springer booklet on Agricultural Bioinformatics. We thank all of the authors and the publishers Springer, Germany for offering us a chance to study the bioinformatics works that the authors have carried within the contemporary earlier and wish the readers could locate this publication realization grabbing.

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Extra resources for Agricultural Bioinformatics

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Apparently immense benefits can be harvested by incorporating data warehousing approaches and establishing data integration platforms. The huge data available from various research projects including information about accessions, phenotypic data, omics profiling data, genomics data, sequencing and genotyping data can be integrated into public databases with free accessibility. This also facilitates in easy data sharing and availability of expensive resources across all the plant research communities.

Et al. R. Palakolanu et al. responses.

Mol Breed 24(1):63–76 Li Y, Huang Y, Bergelson J, Nordborg M, Borevitz JO (2010) Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana. Proc Natl Acad Sci 107(49):21199–21204 Li Y, Bock A, Haseneyer G, Korzun V, Wilde P, Schon CC, Ankerst D, Bauer E (2011) Association analysis of frost tolerance in rye using candidate genes and phenotypic data from controlled, semi-controlled, and field phenotyping platforms. BMC Plant Biol 11(1):146 18 Li H, Peng Z, Yang X, Wang W, Fu J, Wang J, Han Y, Chai Y, Guo T, Yang N, Liu J, Warburton ML, Cheng Y, Hao X, Zhang P, Zhao J, Liu Y, Wang G, Li J, Yan J (2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels.

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Agricultural Bioinformatics by Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala

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