RNA-seq Data Analysis
The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is…
Specifikacia RNA-seq Data Analysis
The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.Balanced Coverage of Theory and Practice.Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.The Tools and Methods to Get Started in Your Lab.
RNA-seq Data Analysis
Data Analysis
Data Analysis
Genome Data Analysis
Statistical Data Analysis
Dyadic Data Analysis
Qualitative Data Analysis
Interactive Visual Data Analysis
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SQL for Data Analysis
Applied Longitudinal Data Analysis
Bayesian Data Analysis Gelman Andrew