Global Certificate Course in RNA-Seq Data Analysis Workflows
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2个月完成
每周2-3小时
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课程详情
- 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
职业道路
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.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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