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02119nam a22003255i 4500 |
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160602s2016 gw | s |||| 0|eng d |
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|a 9783319313504
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|a 10.1007/978-3-319-31350-4
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing /
|c edited by Ana M. Aransay, José Luis Lavín Trueba.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XI, 399 p. 72 illus., 42 illus. in color. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a The High Throughput Sequencing technologies triple-W discussion: Why to use HTS, What is the optimal HTS method to use, Which data analysis workflow to follow -- Whole genome sequencing recommendations -- Counseling for targeted DNA region re-sequencing -- Transcriptome profiling strategies -- Differential mRNA Alternative Splicing -- microRNA discovery and expression analysis in animals -- Analysis of Long Non-coding RNAs in RNA-seq data -- Ribosome profiling -- Genome-wide analysis of DNA methylation patterns by high-throughput sequencing -- Characterization of DNA-protein interactions: Design and analysis of ChIP-seq experiments -- PAR-CLIP: A genomic technique to dissect RNA-protein interactions -- Metagenomic design and sequencing -- A hitchhiker's guide to Metatranscriptomics -- Eukaryotic Single-Cell mRNA Sequencing -- Eukaryotic Single-Cell DNA Sequencing -- Submitting data to a public repository, the final step of a successful HTS experiment.
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|a Human genetics.
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|a Systems biology.
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|a Biostatistics.
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|a Human Genetics.
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|a Systems Biology.
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|a Biostatistics.
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|a Aransay, Ana M.
|e editor.
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|a Lavín Trueba, José Luis.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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