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TRANSCRIPTOMICS 30 days · 6 modules · Online

RNA-Seq De Novo Assembly Workshop (30-Day, Online)

Assemble and analyse a transcriptome from scratch when no reference genome is available for your organism.

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About this workshop

Not every organism has a finished reference genome, and that is where de novo transcriptome work begins. Instead of mapping reads to a genome, you assemble the reads into transcripts, which is how researchers study many plants, insects, marine species and other non-model organisms. This workshop teaches the whole path: cleaning reads, assembling a transcriptome, judging how complete and reliable the assembly is, removing redundant or contaminating sequences, and naming the genes by comparing them with known proteins. You then measure expression across samples and test for differences between conditions. The result is a usable gene catalogue for an organism that had none, together with expression results you can interpret. It is a good fit if your species of interest has little or no genomic resources.

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 manage files confidently.
De novo vs reference-based When each approach is the right choice.
File formats FASTQ, FASTA, assembly and annotation files.
Read quality control Clean reads before assembly to improve results.
Module 2 Transcriptome assembly
Assembly principles How short reads are stitched into transcripts.
Running an assembler Build contigs from multiple samples.
Assembly parameters Understand the settings that change the outcome.
Handling large data Plan memory and time for assembly.
Module 3 Assembly quality and clean-up
Assembly statistics Read N50, length and count summaries.
Completeness checks Test for expected core genes.
Redundancy removal Cluster similar contigs into representative transcripts.
Contamination screening Detect and remove non-target sequences.
Module 4 Annotation
Coding region prediction Find likely proteins in transcripts.
Homology search Assign gene names by similarity to known proteins.
Functional labels Add GO terms, domains and pathways.
Annotation tables Combine results into one usable file.
Module 5 Expression and comparison
Read mapping back to the assembly Estimate how much each transcript is used.
Count matrix and normalization Prepare data for comparison.
Differential expression Find transcripts that change between conditions.
Enrichment of results Interpret changed transcripts biologically.
Module 6 Mini-project and report
Week 4
Project dataset Assemble and analyse a non-model organism dataset.
Reproducible workflow Document the pipeline from reads to results.
Figures and write-up Present assembly and expression findings.
Review and next steps Discuss limits and improvements.

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 RNA-Seq (de novo) 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 learn de novo transcript assembly with Trinity, quality and completeness evaluation with BUSCO, redundancy clustering with CD-HIT, functional annotation with Trinotate, pseudo-alignment with Salmon, and differential expression analysis in edgeR.

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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