Global Certificate Course in RNA-Seq Analysis
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Course Details
- Introduction to Next-Generation Sequencing (NGS) and RNA-Seq
- RNA-Seq Experimental Design and Library Preparation
- RNA-Seq Data Alignment and Quantification (using tools like STAR, HISAT2)
- Differential Gene Expression Analysis (DEG) with edgeR and DESeq2
- Gene Ontology (GO) Enrichment and Pathway Analysis
- RNA Editing and Isoform Detection
- Advanced RNA-Seq analysis: Splice analysis, Fusion detection
- Data Visualization and Interpretation
- Introduction to R and Bioconductor packages
- Hands-on RNA-Seq data analysis using a case study
Career Path
Career Role (RNA-Seq Analysis) Description Bioinformatician (RNA-Seq Data Analyst) Analyze large RNA-Seq datasets, identify patterns and biomarkers using advanced bioinformatics tools.
High demand in pharmaceutical and biotech industries.
Genomics Scientist (RNA Sequencing Specialist) Focus on RNA sequencing experiments, data processing and interpretation; crucial for gene expression studies and drug discovery.
Research Scientist (RNA-Seq Bioinformatics) Conduct research using RNA-Seq data, publish findings and contribute to advancements in genomics and related fields.
Requires strong analytical and communication skills.
Data Scientist (NGS Data Analysis RNA-Seq) Develop algorithms and statistical models for analysis of Next-Generation Sequencing data, including RNA-Seq; bridges bioinformatics and data science skills.
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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