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TRANSCRIPTOMICS 30 days · 6 modules · Online

lncRNA-Seq Data Analysis Workshop (30-Day, Online)

Discover, classify, and analyse long non-coding RNAs and build gene regulatory networks.

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About this workshop

Long non-coding RNAs are transcripts longer than about 200 nucleotides that do not make proteins, yet many help to regulate genes, development and disease. They are hard to study because they are often expressed at low levels, vary between tissues and can look like coding transcripts at first sight. This workshop shows how to find them in RNA-Seq data: assembling transcripts, filtering candidates by length and exon structure, and testing coding potential with more than one predictor so the calls are trustworthy. You then measure their expression, compare conditions, and use co-expression and genomic position to suggest which genes a lncRNA may influence. The outcome is a defensible list of candidate lncRNAs and a plan for validating them in the lab.

Tools and pipelines you will use

This workshop emphasizes standard, open-source bioinformatics tools widely used in peer-reviewed genomics literature:

What you will learn

Module 1 Foundations
Week 1
Linux and command-line basics Run tools and organise projects.
lncRNA biology What lncRNAs are and how they act.
Library preparation and design Choices that affect lncRNA detection.
Read quality control Clean reads before analysis.
Module 2 Alignment and assembly
Mapping to the genome Align reads with a splice-aware tool.
Transcript assembly Reconstruct known and novel transcripts.
Merging across samples Build one unified transcript set.
Assembly review Compare against reference annotation.
Module 3 lncRNA identification
Filtering candidates Apply length, exon and expression filters.
Coding-potential prediction Separate non-coding from protein-coding transcripts.
Combining evidence Use several predictors for a stronger call.
Classification Group lncRNAs by position relative to genes.
Module 4 Expression analysis
Quantification Estimate lncRNA and mRNA abundance.
Differential expression Find lncRNAs that change between conditions.
Tissue and condition specificity Spot lncRNAs with restricted expression.
Quality checks Verify results with sample-level plots.
Module 5 Function prediction
Co-expression networks Link lncRNAs to genes that move with them.
Cis and trans targets Predict nearby and distant regulated genes.
Enrichment of targets Infer likely biological roles.
Network visualization Present lncRNA-gene relationships.
Module 6 Mini-project and report
Week 4
Project dataset Run a full lncRNA study on public data.
Reproducible workflow Document each step and setting.
Figures and write-up Present candidates and predicted roles.
Review and next steps Plan validation experiments.

What you receive & prerequisites

What you receive

  • 30 days of structured online self-paced access & mentor guidance
  • Curated real-world NGS benchmark datasets
  • Reusable pipeline scripts and command-line code templates
  • Independent capstone mini-project evaluation
  • Certificate of Completion issued by Xenoi Biotech Pvt. Ltd.

Prerequisites & setup

  • Basic life science background (B.Sc., M.Sc., B.Tech, or research scholar)
  • No prior programming or Linux experience required (covered in Module 1)
  • Laptop or PC with 8 GB RAM and internet access
  • Remote compute setup instructions provided during onboarding

Course curriculum designed by Anjali Chaudhary, Bioinformatics Scientist at Xenoi Biotech.

Last updated: October 2026

Frequently asked questions

Is this lncRNA-Seq workshop delivered online?

Yes. All Xenoi Biotech workshops are delivered 100% online, allowing researchers and students across India and internationally to participate with remote compute support.

How long is the workshop and what is the workload?

The workshop runs for 30 days across 6 structured modules. Learners typically dedicate 1 to 2 flexible hours per day to work through pipeline commands, code exercises, and the mini-project.

Who is this workshop designed for?

It is built for B.Sc., M.Sc., and Ph.D. students, postdoctoral researchers, faculty members, and industry professionals in biotechnology, biochemistry, microbiology, and medicine who need to analyze NGS datasets independently.

What will I learn in this workshop?

You will master transcript assembly with StringTie, candidate filtering by size and exon count, coding potential scoring with CPAT and CPC2, differential lncRNA expression with DESeq2, and cis/trans target prediction using WGCNA co-expression networks.

What are the fees, dates, and enrollment details?

The workshop fee is MRP ₹5,000, inclusive of GST. Batch dates are shared on enquiry. Use the Enrol now button to reserve your place or receive the upcoming schedule.

Fees, dates and batches

The workshop fee is MRP ₹5,000 (incl. GST). Batch dates and onboarding materials are shared upon enquiry.

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