Learn to analyze RNA-seq data without using code: transcriptomics, differential expression, STAR, and pathway evaluation
RNA-Seq (an abbreviation of RNA sequencing) is a sequencing technique that employs next-generation sequencing (NGS) to determine the presence and quantity of RNA in a biological sample at a given time, thereby analyzing the dynamic cellular transcriptome. Prior to RNA-Seq, gene expression studies were conducted using microarrays based on hybridization. Problems with microarrays include cross-hybridization artifacts, poor quantification of lowly and highly expressed genes, and the need to know the sequence beforehand. Bioinformatics: Guide to RNA-seq with No Coding Required! online certification, which is made accessible by Udemy to individuals interested in being equipped with the tools and knowledge to not only understand but perform RNA sequencing and discover how the transcriptome of cell changes throughout its growth cycle.
Bioinformatics: Guide to RNA-seq with No Coding Required! online training consists of three hours of digital classes, two articles, and course completion which is accompanied by lifetime access to four downloadable materials, and a digital certificate.
Bioinformatics: Guide to RNA-seq with No Coding Required! online course focuses on individuals where they will be given the tools and knowledge they need to not only understand but also perform RNA sequencing and discover how a cell's transcriptome changes throughout its growth cycle. To avoid the need for complex software installations, coding experience, and, in some cases, a Linux operating system, we will conduct the entire analysis using a free bioinformatics tool called Galaxy! In addition, aspirants will be utilizing the STAR pipeline, which is currently supported by the ENCODE project!
Yes
Udemy
Bioinformatics: Guide to RNA-seq with No Coding Required! certification course, Participants will get a thorough understanding of the concepts involved in the basics of next-generation sequencing and how it can be used for differential gene expression analysis via RNA sequencing, Aligning the reads to a genome, differential expression, and ultimately understanding how technologies like RNA sequencing could be used to identify specific genes that can cause certain conditions. The aspirant will comprehend preprocessing RNA sequencing data, how to transcript quantification, as well as gene ontology and pathway analysis.
Mr Adrian Bourke Instructor Freelancer
Ph.D
Brochure has been downloaded.
Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile