RNAseq Data analysis using Shell scripting and R

RNAseq Data analysis using Shell scripting and R, available at $19.99, has an average rating of 3.89, with 20 lectures, based on 9 reviews, and has 50 subscribers.

You will learn about Basics of NGS data analysis and how to perform Differential gene expression analysis for RNAseq dataset Generating Quality Control metrics and statistics Mapping Reads to the genome Differential gene expression Using Conda for installation of bioinformatics tools Processing RNA sequencing data UNIX command-line tools for processing the data Transcript quantification Performing Principal Component Analysis (PCA) Performing Clustering analysis using gene expression data This course is ideal for individuals who are People interested in learning Next Generation Sequencing data analysis methods or Beginner Bioinformatician looking to understand end-to-end pipeline for transcriptomics data analysis or People looking to understand differential gene expression analysis or People interested to carry out bioinformatics analysis with command-line tools It is particularly useful for People interested in learning Next Generation Sequencing data analysis methods or Beginner Bioinformatician looking to understand end-to-end pipeline for transcriptomics data analysis or People looking to understand differential gene expression analysis or People interested to carry out bioinformatics analysis with command-line tools.

Enroll now: RNAseq Data analysis using Shell scripting and R

Summary

Title: RNAseq Data analysis using Shell scripting and R

Price: $19.99

Average Rating: 3.89

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: £34.99

Quality Status: approved

Status: Live

What You Will Learn

• Basics of NGS data analysis and how to perform Differential gene expression analysis for RNAseq dataset
• Generating Quality Control metrics and statistics
• Mapping Reads to the genome
• Differential gene expression
• Using Conda for installation of bioinformatics tools
• Processing RNA sequencing data
• UNIX command-line tools for processing the data
• Transcript quantification
• Performing Principal Component Analysis (PCA)
• Performing Clustering analysis using gene expression data

Who Should Attend

• People interested in learning Next Generation Sequencing data analysis methods
• Beginner Bioinformatician looking to understand end-to-end pipeline for transcriptomics data analysis
• People looking to understand differential gene expression analysis
• People interested to carry out bioinformatics analysis with command-line tools

Target Audiences

• People interested in learning Next Generation Sequencing data analysis methods
• Beginner Bioinformatician looking to understand end-to-end pipeline for transcriptomics data analysis
• People looking to understand differential gene expression analysis
• People interested to carry out bioinformatics analysis with command-line tools