Global Certificate Course in RNA-Seq Data Analysis Workflows
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- Introduction to Next-Generation Sequencing (NGS) and RNA-Seq
- RNA-Seq Data Preprocessing: Quality Control and Filtering
- RNA-Seq Read Alignment and Mapping using STAR or HISAT2
- RNA-Seq Quantification: Gene and Transcript Expression Analysis with RSEM or featureCounts
- Differential Gene Expression Analysis with DESeq2 or edgeR
- Gene Ontology (GO) and Pathway Enrichment Analysis
- RNA-Seq Data Visualization and Interpretation
- Advanced RNA-Seq Analyses: Splice Variant Detection and Isoform Quantification
- Introduction to RNA-Seq Data Analysis using Bioconductor and R
- Best Practices and Ethical Considerations in RNA-Seq Data Analysis
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Career Role Description Bioinformatician (RNA-Seq) Analyze large RNA sequencing datasets, develop and implement bioinformatics pipelines, and interpret results for biological research.
High demand in genomics and pharmaceutical industries.
RNA-Seq Data Analyst Perform statistical analysis of RNA-Seq data, identify differentially expressed genes, and visualize results for publication and presentations.
Expertise in R/Bioconductor is crucial.
Genomics Researcher (RNA Focus) Conduct independent research projects involving RNA sequencing, contribute to scientific publications, and present findings at conferences.
Strong knowledge in molecular biology is essential.
Bioinformatics Scientist (NGS) Develop and optimize next-generation sequencing (NGS) data analysis workflows, collaborating with scientists to solve complex biological questions.
Strong programming skills are a plus.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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