Career Advancement Programme in RNA-Seq Data Quality Control
-- ViewingNowThe Career Advancement Programme in RNA-Seq Data Quality Control certificate course is a comprehensive training program designed to equip learners with the essential skills needed to excel in the rapidly growing field of genomics and bioinformatics. This course emphasizes the importance of RNA-Seq data quality control, a critical aspect of genomic data analysis.
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• Introduction to RNA-Seq Data Quality Control: Basic concepts, workflow, and tools for RNA-Seq data quality control.
• Understanding Sequencing Quality Scores: Quality score calculation, interpretation, and impact on downstream analysis.
• Assessing Base Call Quality: Quality control metrics and visualization methods for base call quality.
• Sequence Alignment Quality Control: Evaluating alignment accuracy, mapping rates, and potential biases.
• Duplication Levels and Bias Analysis: Quantifying PCR duplicates and understanding their influence on data interpretation.
• Gene Expression Quantification Control: Validating RNA-Seq expression estimates using digital gene expression (DGE) and qPCR data.
• Batch Effect Detection and Correction: Identifying and mitigating unwanted technical variation in RNA-Seq data.
• RNA-Seq Data Normalization: Techniques for normalizing RNA-Seq data, including library size, upper-quartile, and TMM normalization.
• Quality Control for Differential Expression Analysis: Assessing the quality of differential expression results, including false discovery rate and power analysis.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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