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Optimization of miRNA-seq data preprocessing

Optimization of miRNA-seq data preprocessing

The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding RNAs as key regulators of many biological processes and promising biomarkers for disease. The concurrent development in high-throughput profiling technology has further advanced our ...

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RNA-Seq Analysis with STAR

RNA-Seq Analysis with STAR

NASB2015 Lecture 21- RNA seq Analysis with STAR In this lecture Yan Kou from the Ma’ayan Lab demonstrates how to run the popular genome aligner STAR for RNA-seq analysis

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Quantification of co-transcriptional splicing from RNA-Seq data

Quantification of co-transcriptional splicing from RNA-Seq data

During gene expression, protein-coding transcripts are shaped by multiple processing events: 5′ end capping, pre-mRNA splicing, RNA editing, and 3′ end cleavage and polyadenylation. These events are required to produce mature mRNA, which can be subsequently translated. Nearly all of ...

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omiRas – A MicroRNA-Seq Data Analysis Pipeline

omiRas – A MicroRNA-Seq Data Analysis Pipeline

To identify circulating miRNA biomarkers for AD, researchers from Meiji Pharmaceutical University, Japan reanalyzed a publicly available small RNA-Seq dataset, composed of blood samples derived from 48 AD patients and 22 normal control (NC) subjects, by a simple web-based miRNA ...

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