Titlebook: Gene Expression Analysis; Methods and Protocol Nalini Raghavachari,Natàlia Garcia-Reyero Book 2018 Springer Science+Business Media, LLC, pa

ligature

分開(kāi)

Juan Albarracin-Jordan,Thérèse Bouchardh comprehensive transcriptional characterization of mRNA, miRNA, lncRNA, and small RNA in a robust and successful manner. Transcriptomic strategies are gaining momentum across diverse areas of biological, plant sciences, medical, clinical, and pharmaceutical research for biomarker discovery, and disease diagnosis and prognosis.

打算

酷熱

the advance of high throughput assay of messenger RNA (mRNA) and high performance computing, reconstructing such network from molecular data such as gene expression is now possible. This chapter discusses an overview of methods of constructing such networks, practical considerations, and an example.

恩惠

Lasting

領(lǐng)巾

https://doi.org/10.1007/978-4-431-53895-0omplexities involved in sequencing and analysis, and tries to simplify sequencing based gene expression analysis. Biologists and experimental scientists were kept in mind while discussing the methods and analysis workflow.

CRATE

Seq peaks, calculating RPKMs, performing differential binding or gene expression analysis, and creating plots and heat maps. We specifically describe how to use BioWardrobe’s quality control measures for troubleshooting NGS-based experiments.

潛移默化

蔑視

Single-Cell mRNA-Seq Using the Fluidigm C1 System and Integrated Fluidics Circuits,CR) and off-chip sequencing library preparation protocols are described. The workflow generates full-length mRNA information, which is more valuable compared to 3′ end counting method for many applications.