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Professional Certificate in RNA-Seq Data Quality Control
-- ViewingNowThe Professional Certificate in RNA-Seq Data Quality Control comprises ten comprehensive units designed to meet the surging industry demand for skilled bioinformaticians. As transcriptomics becomes central to precision medicine and drug discovery, mastering data integrity is critical.
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- RNA-Seq Data Quality Control: Introduction and Best Practices
- Assessing Raw Read Quality using FastQC and MultiQC
- RNA-Seq Alignment and Mapping with STAR and HISAT2
- Assessing Alignment Quality Metrics: Properly evaluating read mapping rates and insert size distributions
- Detection and Removal of Adapter Sequences and Contaminants
- Gene Quantification and Normalization Methods: FPKM, TPM, and RPKM
- Quality Control for Differential Gene Expression Analysis
- Dealing with Batch Effects and Technical Variability in RNA-Seq Data
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Career Role Description Bioinformatician (RNA-Seq) Analyzes large RNA sequencing datasets, performing quality control, alignment, and differential expression analysis.
High demand in genomics and pharmaceutical research.
Data Scientist (Genomics) Develops and implements machine learning models for RNA-Seq data, extracting biological insights and improving prediction accuracy.
Strong RNA-Seq data processing and statistical skills required.
Research Scientist (RNA Biology) Conducts independent research using RNA-Seq data to investigate gene regulation, alternative splicing, and other RNA-related processes.
Expertise in experimental design and RNA-Seq data analysis essential.
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- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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