國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Field guidelines for genetic experim...

Aransay, Ana M.

Field guidelines for genetic experimental designs in high-throughput sequencing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Field guidelines for genetic experimental designs in high-throughput sequencingedited by Ana M. Aransay, Jose Luis Lavin Trueba.
其他作者:	Aransay, Ana M.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xi, 399 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Nucleotide sequence.
電子資源:	http://dx.doi.org/10.1007/978-3-319-31350-4
ISBN:	9783319313504$q(electronic bk.)

Field guidelines for genetic experimental designs in high-throughput sequencing
Field guidelines for genetic experimental designs in high-throughput sequencing[electronic resource] /edited by Ana M. Aransay, Jose Luis Lavin Trueba. - Cham :Springer International Publishing :2016. - xi, 399 p. :ill., digital ;24 cm.

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.

High throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing. Having such diversity of alternatives, there is a demand for information by research scientists without experience in HTS that need to choose the most suitable methodology or combination of platforms and to define their experimental designs to achieve their specific objectives. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing aims to collect in a single volume all aspects that should be taken into account when HTS technologies are being incorporated into a research project and the reasons behind them. Moreover, examples of several successful strategies will be analyzed to make the point of the crucial features. This book will be of use to all scientist that are unfamiliar with HTS and want to incorporate such technologies to their research.

ISBN: 9783319313504$q(electronic bk.)

Standard No.: 10.1007/978-3-319-31350-4doiSubjects--Topical Terms:

197397
Nucleotide sequence.

LC Class. No.: QP625.N89

Dewey Class. No.: 572.8633

Field guidelines for genetic experimental designs in high-throughput sequencing
LDR:03033nmm a2200313 a 4500 001 490222
003 DE-He213
005 20161111153931.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319313504$q(electronic bk.)
020 $a 9783319313481$q(paper)
024 7 $a 10.1007/978-3-319-31350-4 $2 doi
035 $a 978-3-319-31350-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QP625.N89
072 7 $a MFN $2 bicssc
072 7 $a MED107000 $2 bisacsh
082 0 4 $a 572.8633 $2 23
090 $a QP625.N89 $b F453 2016
245 0 0 $a Field guidelines for genetic experimental designs in high-throughput sequencing $h [electronic resource] / $c edited by Ana M. Aransay, Jose Luis Lavin Trueba.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 399 p. : $b ill., digital ; $c 24 cm.
505 0 $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.
520 $a High throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing. Having such diversity of alternatives, there is a demand for information by research scientists without experience in HTS that need to choose the most suitable methodology or combination of platforms and to define their experimental designs to achieve their specific objectives. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing aims to collect in a single volume all aspects that should be taken into account when HTS technologies are being incorporated into a research project and the reasons behind them. Moreover, examples of several successful strategies will be analyzed to make the point of the crucial features. This book will be of use to all scientist that are unfamiliar with HTS and want to incorporate such technologies to their research.
650 0 $a Nucleotide sequence. $3 197397
650 0 $a Combinatorial chemistry. $3 193874
650 1 4 $a Biomedicine. $3 273648
650 2 4 $a Human Genetics. $3 273658
650 2 4 $a Systems Biology. $3 245824
650 2 4 $a Biostatistics. $3 339693
700 1 $a Aransay, Ana M. $3 557899
700 1 $a Trueba, Jose Luis Lavin. $3 749549
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-31350-4
950 $a Biomedical and Life Sciences (Springer-11642)