C08 Advanced ⏱ 4 Weeks 🎯 20 hours 📡 8 live sessions
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Transcriptomics & Gene Expression Analysis

Decode the transcriptome. Find what changes and why.

Master RNA-seq from raw reads to pathway biology. You will run a real DESeq2 analysis, produce publication-quality volcano plots, and map differentially expressed genes onto biological pathways — all from a real published dataset.

Enrol Now → View Curriculum
₦32,000 ≈ $38
4 WeeksDuration
20hContact Hours
8Live Sessions
4Topic Blocks
12Tools Covered

Curriculum

What you will learn

Every session is hands-on. Every topic comes with practical exercises using real biological datasets.

Week 1

RNA-seq Overview & Alignment Pipeline

  • Library prep: poly-A vs ribo-depletion, stranded vs unstranded, UMIs
  • HISAT2: splice-aware alignment, CIGAR strings for intron-spanning reads
  • featureCounts: counting modes, multi-mapping, GTF-based assignment
  • PCA and sample distance heatmap for batch effect detection
Week 2

Differential Expression Analysis

  • Negative binomial GLM: why RNA-seq counts need DESeq2 not t-test
  • DESeq2 workflow: design formula, DESeq(), results(), LFC shrinkage
  • edgeR: DGEList, TMM normalisation, glmQLFTest
  • MA plots, volcano plots, heatmaps of top 50 DEGs
Week 3

Pathway Enrichment Analysis

  • ORA: hypergeometric test, background gene list importance
  • GSEA: ranked list, enrichment score, NES, FDR, leading edge
  • clusterProfiler: enrichGO, enrichKEGG, gseGO — R practical
  • MSigDB and Reactome: curated gene set collections
Week 4

Gene Regulatory Networks

  • WGCNA: soft thresholding, module detection, module-trait correlation
  • STRING database: experimental + predicted interactions
  • Cytoscape: network import, layout, hub identification, MCODE
  • Integrating expression + network: finding master regulators

Outcomes

What you will be able to do

Concrete, measurable skills you will take away and use immediately in your research or career.

Tools & Software

HISAT2featureCountsDESeq2edgeRlimmaclusterProfilerGSEACytoscapeSTRINGWGCNAEnhancedVolcanoComplexHeatmap

Course Details

Everything included

One payment — full access to all course materials, live sessions, and community.

What's included

  • 8 live sessions
  • 20 hours content
  • Complete DESeq2 R scripts
  • Real published dataset
  • Course certificate
  • Community access
  • Lifetime recordings

Who this course is for

Molecular biologists · Cancer researchers · Immunologists · Drug discovery scientists · PhD students in gene expression

Prerequisites

C05 and C06 are essential. R programming experience required.

Instructor

Your instructor

N

Dr. Ashraf Akintola

PhD Biomedical Convergence Science and Technology | Bioinformatics Researcher & Educator

With close to a decade of research experience in genomics and computational biology, Dr. Noble has trained researchers across 40+ countries. His hands-on teaching philosophy has made noblekinbio one of Africa's leading bioinformatics education platforms.

What students say

Trusted by researchers worldwide

Students from 40+ countries have transformed their careers with noblekinbio courses.

"This program changed how I do research. I went from copy-pasting BLAST results to writing my own pipelines. The hands-on approach is unlike any other bioinformatics course I have taken."

CO

Chioma Okonkwo

PhD Student, University of Lagos

"Dr. Noble explains complex algorithms in a way that finally clicks. I completed C04 and C05 and immediately applied them to our malaria genomics project."

EA

Emmanuel Asante

Bioinformatics Analyst, Ghana Health Service

"I was sceptical about an online course being truly hands-on. I was wrong. Every session I was actually running code, not just watching. The Snakemake module alone was worth it."

FA

Fatima Al-Rashidi

Molecular Biology Researcher, Jordan

"C10 gave me the drug discovery computational skills I needed to transition from wet lab to computational research. I have already applied QSAR modelling in my current role."

OA

Oluwaseun Adeyemi

Pharmaceutical Scientist, Nigeria

FAQ

Common questions

How does this work with Selar? +
After clicking "Enrol Now", you will be taken to our Selar checkout page. Pay securely with card, bank transfer, or Flutterwave. Once payment is confirmed, you immediately receive access to the course content and are added to our private student community.
Do I need to attend live sessions? +
Live sessions are strongly recommended for Q&A and community, but all sessions are recorded and available in your Selar account within 24 hours. You have lifetime access to all recordings.
What if the course is not right for me? +
We offer a 7-day refund policy. If you have attended fewer than 2 sessions and completed fewer than 20% of the course, contact us at support@noblekinbio.com for a full refund.
Can I take courses in any order? +
Some courses have prerequisites (shown above). We recommend following the program sequence, but motivated students can discuss exceptions with the instructor via the community.
Is there a group discount? +
Yes — teams of 3+ receive 20% off. Contact us at enrol@noblekinbio.com with your team details.
Will I receive a certificate? +
Yes. Upon completing all assessments, you receive a digital certificate from noblekinbio.com. Completing all 13 courses earns the full Bioinformatics Certificate Program credential.
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Ready to start C08?

Decode the transcriptome. Find what changes and why. Enrol today and get instant access to all course materials.

₦32,000 | $38 USD
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