Tag Archives: STAR

Long intergenic noncoding RNAs (lincRNAs) , which are larger than 200 nucleotides and transcribed from the intergenic regions of protein coding genes, have been shown by accumulating findings to be widely expressed and extensively functional in many cellular processes. Nevertheless, ...

High-throughput sequencing of RNA is used to analyze the transcriptomes of viruses and cells, providing information about transcript structure and abundance. A wide array of programs and pipelines has been created to manage and interpret the abundance of data generated ...

Sequencing of transcribed RNA molecules (RNA-seq) is an invaluable tool for studying cell transcriptomes at high resolution and depth. RNA-seq datasets typically consist of tens to hundreds of millions of relatively short (30–200 nt) sequence fragments of the original RNA ...

Obtaining RNA-seq measurements involves a complex data analytical process with a large number of competing algorithms as options. There is much debate about which of these methods provides the best approach. Unfortunately, it is currently difficult to evaluate their performance ...

Mapping of large sets of high-throughput sequencing reads to a reference genome is one of the foundational steps in RNA-seq data analysis. The STAR software package performs this task with high levels of accuracy and speed. In addition to detecting ...

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