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Titlebook: Bioinformatics for High Throughput Sequencing; Naiara Rodríguez-Ezpeleta,Michael Hackenberg,Ana M Book 2012 Springer Science+Business Medi

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期刊全稱(chēng)Bioinformatics for High Throughput Sequencing
影響因子2023Naiara Rodríguez-Ezpeleta,Michael Hackenberg,Ana M
視頻videohttp://file.papertrans.cn/188/187211/187211.mp4
發(fā)行地址This book looks at all aspects of next generation sequencing data analysis, and focuses on the practical issues.Guidelines are given for the analysis of the data obtained from each experiment.A close
圖書(shū)封面Titlebook: Bioinformatics for High Throughput Sequencing;  Naiara Rodríguez-Ezpeleta,Michael Hackenberg,Ana M Book 2012 Springer Science+Business Medi
影響因子.Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging..
Pindex Book 2012
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Book 2012ylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging..
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Naiara Rodríguez-Ezpeleta,Michael Hackenberg,Ana MThis book looks at all aspects of next generation sequencing data analysis, and focuses on the practical issues.Guidelines are given for the analysis of the data obtained from each experiment.A close
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Computational Infrastructure and Basic Data Analysis for High-Throughput Sequencing,
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Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Anal
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