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

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and 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 978-81-322-3486-9978-81-322-1880-7

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Attachai Jintrawet,Kono Yasuyukiof the major constrains in reliable interpretation and usage of association mapping results. However, the advancement in the appropriate statistical methods for whole-genome association mapping has resulted in mitigating the population structure problems to an extent. Here we discuss basic concepts

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Eine besondere Auswertung: Die Rating BWA,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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