Global Certificate Course in RNA-Seq Data Alignment
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- Introduction to RNA-Seq and its Applications
- RNA-Seq Data Preprocessing and Quality Control
- Genome Reference Selection and Indexing for RNA-Seq Data Alignment
- RNA-Seq Data Alignment using STAR, HISAT2, or TopHat2
- Assessment of RNA-Seq Alignment Quality Metrics (e.g., mapping rate, uniquely mapped reads)
- Handling Multi-Mapping Reads in RNA-Seq
- Variant Calling and Analysis from RNA-Seq Data
- Introduction to RNA-Seq Data Visualization Tools
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Career Role Description Bioinformatics Scientist (RNA-Seq) Analyze RNA-Seq data, perform RNA sequencing data alignment, and interpret results for drug discovery and development.
High demand in pharmaceutical and biotech companies.
Genomics Data Analyst (RNA Focus) Specializes in analyzing large genomic datasets, with a focus on RNA-Seq data processing and interpretation.
Strong programming skills in R/Python are essential.
Research Scientist - Transcriptomics Conducts research using RNA sequencing technologies to investigate gene expression and regulation in various biological systems.
Requires expertise in experimental design and data analysis.
Computational Biologist (RNA-Seq Alignment Specialist) Develops and optimizes algorithms for RNA-Seq data alignment and analysis, often using high-performance computing resources.
Focus on improving data processing efficiency.
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- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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