Bioinformatics: Guide to RNA-seq with No Coding Required!

BY
Udemy

Learn to analyze RNA-seq data without using code: transcriptomics, differential expression, STAR, and pathway evaluation

Mode

Online

Fees

₹ 2499

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

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!

The highlights

  • Certificate of Completion
  • Two Articles
  • Three Hours of Video Lessons
  • Four Downloadable Resource
  • Access on Mobile and TV

Program offerings

  • Online course
  • 30-day money-back guarantee
  • Unlimited access
  • Self-paced course

Course and certificate fees

Fees information
₹ 2,499
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Quality control Knowledge of bioinformatics Knowledge of biology Knowledge of genetics

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.

The syllabus

Introduction and Getting Started

  • Who Am I?
  • Obtaining the Raw Data
  • Downloading the Data on Galaxy

Quality Control and Genome Alignment

  • Note on Lecture 5
  • Quality Control of Sequencing Data using FastQC
  • Dealing with MultiQC Report Issues
  • Obtaining the Reference Genome Files Needed for Alignment
  • Aligning the RNA Sequencing Reads to the Reference Genome.

Getting Transcript Abundance using FeatureCounts

  • Using Infer Experiment to Determine FeatureCounts Input Settings
  • Using FeatureCounts to Create a Counts Table based on Gene and Exon methodologies

Carrying out Differential Expression and Gene Ontology Analysis

  • Carrying Out Differential Expression Using DESeq2
  • Biomart has Updated
  • Looking At The Annotated DESeq2 Results and Preparing Files For GOseq
  • Analyzing the GOseq Results
  • Preparing the Needed Files For Pathview Analysis
  • Discussing the KEGG Pathview Results

Optional: Using DEGUST Instead of DESEQ2

  • DEGUST Walkthrough

Instructors

Mr Adrian Bourke
Instructor
Freelancer

Ph.D

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