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Titlebook: Agricultural Bioinformatics; Kavi Kishor P.B.,Rajib Bandopadhyay,Prashanth Sura Book 2014 Springer India 2014 Cloud computing.Genomespace.

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發(fā)表于 2025-3-21 16:18:48 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Agricultural Bioinformatics
影響因子2023Kavi Kishor P.B.,Rajib Bandopadhyay,Prashanth Sura
視頻videohttp://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Titlebook: Agricultural Bioinformatics; Kavi Kishor P.B.,Rajib Bandopadhyay,Prashanth Sura Book 2014 Springer India 2014 Cloud computing.Genomespace.
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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書目名稱Agricultural Bioinformatics影響因子(影響力)




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Comparative Genomics of Cereal Crops: Status and Future Prospects,ry, especially in rice, sorghum, maize, barley, wheat and foxtail millet, led to better understanding of the conservations of genes/genomic regions at sequence level. This chapter reviews the status of cereal comparative genomics prior to genome sequencing and progress post-genome sequencing of majo
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A Comprehensive Overview on Application of Bioinformatics and Computational Statistics in Rice Genoutationally intensive techniques and statistical software (e.g., pattern recognition, data mining, machine learning algorithms, R-statistical, MATLAB, and visualization) which give the opportunity to quickly and efficiently study heap of genomics information, chemical structure, and model generation
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