RNAseq Data analysis using Shell scripting and R
Become a master in performing RNAseq analysis on linux command-line and use R to perform DE analysis and clustering
4.18 (14 reviews)

88
students
5.5 hours
content
May 2023
last update
$29.99
regular price
Why take this course?
🎓 Course Headline: 🚀 Become a Master in Performing RNAseq Analysis on Linux Command-Line and Use R for DE Analysis and Clustering!
Course Description:
Embark on a transformative journey into the world of RNAseq data analysis with our comprehensive online course, "RNAseq Data Analysis using Shell Scripting and R" – your ultimate guide to mastering the command line for robust genetic insights. 🧬👩💻
What You Will Learn:
- Command Line Proficiency: Master the art of shell scripting to automate and streamline your data analysis workflow.
- Data Preprocessing: Learn the essentials of pre-processing RNAseq data, including quality control and filtering.
- Reference Genome/Transcriptome Alignment: Gain expertise in aligning reads using popular tools such as HISAT2 or STAR.
- Differential Expression Analysis (DEA): Understand the statistical methods to identify differentially expressed genes.
- Functional Annotation and Visualization: Discover the functional aspects of gene expression and visualize your findings with state-of-the-art tools.
- R for Bioinformatics: Dive deep into using R for data exploration, clustering, and Principal Component Analysis (PCA).
- Real-World Datasets: Work hands-on with actual datasets to solidify your understanding and skills.
- Software Installation: Learn to set up bioinformatics tools and software packages, including Conda/Anaconda for various operating systems like Mac, Windows, or Linux.
- RStudio for DE Analysis: Perform your analysis using RStudio, a powerful graphical user interface for the R programming language.
Course Highlights:
- Comprehensive Curriculum: A step-by-step guide from raw data to meaningful insights.
- Real-World Application: Work with actual datasets to understand practical challenges and solutions.
- Expert Instruction: Tailored by Sumukh Deshpande, a seasoned course instructor with extensive experience in bioinformatics and data analysis.
- No Prior Experience Needed: Suitable for beginners with a basic understanding of molecular biology and genetics; no prior programming or bioinformatics knowledge required.
- Flexible Learning: Access the course material anytime, anywhere, and learn at your own pace.
Why Take This Course?
- Industry-Relevant Skills: Equip yourself with in-demand skills that are crucial for modern biological research.
- Research Applications: Understand the molecular basis of gene expression and explore the potential applications of RNAseq technology.
- Community of Learners: Join a community of like-minded peers to exchange ideas, collaborate on projects, and expand your network.
- Career Advancement: Enhance your career prospects in biotechnology, academia, or the pharmaceutical industry with cutting-edge analytical skills.
Enroll Now and Transform Your Ability to Analyze RNAseq Data! 🌟
Don't miss out on this opportunity to become a master in RNAseq data analysis using shell scripting and R. Sign up today and take the first step towards unlocking your potential in the field of genomics and bioinformatics!
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5129586
udemy ID
01/02/2023
course created date
20/05/2023
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