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Masterclass Certificate in RNA-Seq Data Analysis Strategies
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- RNA-Seq Data Generation and Experimental Design
- RNA-Seq Data Preprocessing: Quality Control and Filtering
- Read Alignment and Quantification: Using STAR and featureCounts
- Differential Gene Expression Analysis with DESeq2 and edgeR
- Gene Set Enrichment Analysis and Pathway Analysis
- Advanced RNA-Seq Analyses: Splicing analysis and isoform quantification
- RNA-Seq Data Visualization and Interpretation
- Hands-on RNA-Seq Data Analysis Project: Practical application of learned skills
- Introduction to single-cell RNA-Seq (scRNA-Seq) analysis
CareerPath
Career Role Description Bioinformatician (RNA-Seq) Analyze large RNA-Seq datasets, developing and applying bioinformatics pipelines for gene expression analysis.
High demand in pharmaceutical and academic research.
Data Scientist (Genomics) Utilize RNA-Seq data to extract biological insights, build predictive models, and collaborate with biologists.
Strong programming and statistical skills essential.
Research Scientist (RNA Biology) Conduct independent research using RNA-Seq to investigate gene regulation, explore novel therapeutic targets and publish findings.
Requires a strong background in molecular biology.
Biostatistician (Genomics) Design experimental studies, analyze RNA-Seq data to draw statistically sound conclusions, and contribute to publication of research findings.
Strong statistical modeling skills are critical.
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- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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