Course details
OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.
Certificate Course in Transcriptome & RNA-Seq Data Analysis
Level
Intermediate
Intermediate
Duration
1 Month | 8 hours per week
1 Month | 8 hours per week
Flexible Schedule
Learn from anywhere.
Learn from anywhere.
Modules
4
4
Capsote Project
Real-world project with publication.
Real-world project with publication.
Course Modules
Enroll Now- Basics of transcriptomics and RNA sequencing technologies
- Experimental design considerations
- Overview of RNA-Seq data formats (FASTQ, BAM, count files)
- Public RNA-Seq databases (GEO, SRA)
- Quality check with FastQC
- Trimming and filtering low-quality reads (Trimmomatic)
- Reference genome and annotation files preparation
- Hands-on: QC and trimming of RNA-Seq datasets
- Alignment tools: HISAT2, STAR
- Transcript assembly and quantification (StringTie, featureCounts)
- Handling multi-mapped reads
- Hands-on: Align and quantify sample RNA-Seq data
- Statistical methods for differential expression (DESeq2, edgeR)
- Visualization: MA plots, heatmaps, PCA
- Pathway and gene ontology enrichment (KEGG, GO)
- Mini-project: Analyze differential expression and interpret results
Course Overview
This course introduces the concepts and workflows of transcriptomics with a focus on RNA-Seq data analysis. Learners will get hands-on experience with quality control, read alignment, quantification, differential expression analysis, and functional interpretation.
This course introduces the concepts and workflows of transcriptomics with a focus on RNA-Seq data analysis. Learners will get hands-on experience with quality control, read alignment, quantification, differential expression analysis, and functional interpretation.
What You'll Learn
Fundamentals of transcriptomics and RNA-Seq technology
Quality assessment and preprocessing of RNA-Seq data
Mapping reads to reference genomes and transcriptomes
Differential gene expression analysis
Functional annotation and pathway enrichment
Who Can Register
UG/PG students, researchers, and professionals in molecular biology, genetics, and bioinformatics.
UG/PG students, researchers, and professionals in molecular biology, genetics, and bioinformatics.
Prerequisites
Basic molecular biology and genetics
Familiarity with Linux command line helpful but not mandatory