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Advances in the understanding of bio...
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Sablok, Gaurav.
Advances in the understanding of biological sciences using next generation sequencing (NGS) approaches
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in the understanding of biological sciences using next generation sequencing (NGS) approachesedited by Gaurav Sablok ... [et al.].
其他作者:
Sablok, Gaurav.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xii, 241 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Nucleotide sequence.
電子資源:
http://dx.doi.org/10.1007/978-3-319-17157-9
ISBN:
9783319171579 (electronic bk.)
Advances in the understanding of biological sciences using next generation sequencing (NGS) approaches
Advances in the understanding of biological sciences using next generation sequencing (NGS) approaches
[electronic resource] /edited by Gaurav Sablok ... [et al.]. - Cham :Springer International Publishing :2015. - xii, 241 p. :ill., digital ;24 cm.
Expression analysis and genome annotations with RNA sequencing -- The application of Next Generation Sequencing techniques to Plant Epigenomics -- Whole genome sequencing to identify genes and QTL in rice -- Variant calling using NGS data in European aspen (Populus tremula) -- Leafy Spurge Genomics: A Model Perennial Weed To Investigate Development, Stress Responses, And Invasiveness -- Utilization of NGS and proteomic-based approaches to gain insights on cellular responses to singlet oxygen and improve energy yields for bacterial stress adaptation -- Experimental evolution and next generation sequencing illuminate the evolutionary trajectories of microbes -- Plant carbohydrate active enzyme (CAZyme) repertoires: a comparative Study -- Metagenomics of Plant- Microbe Interactions -- Genes and trans-factors underlying embryogenic transition in plant soma-cells -- Bioinformatics tools to analyze the proteome and genome data -- High through-put transcriptome analysis of plant stress responses -- CNV and structural variation in plants: prospects of NGS Approaches.
This work is a compiled catalogue of such findings, where several NGS technologies ranging from the genomics, transcriptomics, metagenomics, single cell genomics, QTL, patho-genomics and patho-transcriptomics have been applied to delineate the mystery of the associated mutations, biological pathway transitions, transcriptional fluxes and patterns of host associated or adaptations to certain climatic conditions. The aims and scope of this book focuses more on the biological underpinning to initiate the cross-talks across the traits acquired or lost during the course of evolution. The structured framework of the present volume provides the applicative point of view of the NGS technologies and demonstrates the conceptual way of linking the experimentation to the NGS technologies, to aid in researchers to place their biological hypothesis in a larger context.
ISBN: 9783319171579 (electronic bk.)
Standard No.: 10.1007/978-3-319-17157-9doiSubjects--Topical Terms:
197397
Nucleotide sequence.
LC Class. No.: QP625.N89
Dewey Class. No.: 572.8633
Advances in the understanding of biological sciences using next generation sequencing (NGS) approaches
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Expression analysis and genome annotations with RNA sequencing -- The application of Next Generation Sequencing techniques to Plant Epigenomics -- Whole genome sequencing to identify genes and QTL in rice -- Variant calling using NGS data in European aspen (Populus tremula) -- Leafy Spurge Genomics: A Model Perennial Weed To Investigate Development, Stress Responses, And Invasiveness -- Utilization of NGS and proteomic-based approaches to gain insights on cellular responses to singlet oxygen and improve energy yields for bacterial stress adaptation -- Experimental evolution and next generation sequencing illuminate the evolutionary trajectories of microbes -- Plant carbohydrate active enzyme (CAZyme) repertoires: a comparative Study -- Metagenomics of Plant- Microbe Interactions -- Genes and trans-factors underlying embryogenic transition in plant soma-cells -- Bioinformatics tools to analyze the proteome and genome data -- High through-put transcriptome analysis of plant stress responses -- CNV and structural variation in plants: prospects of NGS Approaches.
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