期刊全稱 | Agricultural Bioinformatics | 影響因子2023 | Kavi Kishor P.B.,Rajib Bandopadhyay,Prashanth Sura | 視頻video | http://file.papertrans.cn/152/151556/151556.mp4 | 發(fā)行地址 | The book puts across the thoughtful practice of plant genomic repertoire and genome sequencing.The book gives details of how to detect Interologs in a system and whether we can transfer interactions b | 圖書封面 |  | 影響因子 | 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 | Pindex | Book 2014 |
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