UnitLevel 5Postgraduate

BMS5301 Advanced transcriptomics: Bulk, single-cell and spatial analysis

Faculty of Medicine, Nursing and Health Sciences

BMS5301 Advanced transcriptomics: Bulk, single-cell and spatial analysis is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences. It isn't offered in 2025. It needs GNA5022, GNA5040 and MPH5041.

Credit points
6
Offered in 2025
Not offered
Assessment
No exam
3 tasks
Workload
12 hours
per semester

The 2027 handbook has no page for BMS5301. This is its 2025 entry, the latest one.

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Requisites

After BMS5301

No unit lists BMS5301 as a prerequisite in the 2025 handbook.

Enrolment rules

Must be enrolled in Master of Bioinformatics (or with permission from the unit coordinator).

Overview

In this unit, you will learn the advanced techniques and applications of transcriptomic analysis. Three core methodologies will be explored: bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics. The unit is designed to provide you with a comprehensive understanding of how transcriptomic data is generated, processed, and analysed. You will gain hands-on experience with cutting-edge computational tools and techniques, enabling you to interpret complex transcriptomic data and derive meaningful biological insights.
Throughout the unit, you will participate in a range of learning activities, including online lectures, hands-on workshop sessions, and case study analyses. These activities will help you develop the skills needed to handle various scales of transcriptomic data and apply them to real-world research questions in genomics, biotechnology, and biomedical sciences. By the end of the unit, you will be equipped with the knowledge and practical skills to conduct sophisticated transcriptomic analyses and contribute to advancements in the field.

Offerings in 2025

The 2025 handbook lists no offerings for BMS5301.

Assessment

  • Poster presentationArtefact
    40%
  • Research paper (group assessment 2,400 words)Written
    40%
  • Written report (1,200 words)Written
    20%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Differentiate between bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics techniques.

  2. 2

    Process and analyse raw transcriptomic data from bulk, single-cell, and spatial RNA sequencing experiments.

  3. 3

    Apply bioinformatics tools and software for analysing transcriptomic data, including normalization, differential expression analysis, and pathway analysis.

  4. 4

    Evaluate single-cell RNA sequencing data to identify cell types, states, and trajectories using clustering, dimensionality reduction, and pseudotime analysis.

  5. 5

    Interpret spatial transcriptomics data to map gene expression patterns within tissue architecture and understand the spatial context of cellular processes.

  6. 6

    Translate transcriptomic findings into biological insights and hypotheses, focusing on gene function, regulation, and interaction networks.

  7. 7

    Critically review and communicate recent advancements and relevant literature in the field of advanced transcriptomics.

Workload and teaching

6 hours of teacher directed study per week, including 2-3 hours of on-line lectures and 3-4 hours of workshops. 6 hours per week of self-directed study.
Total per week = 12 hours

Contacts

Chief Examiners
Associate Professor Peter Boag
Unit Coordinators
Dr Ranjeeta Menon

Common questions

What are the prerequisites for BMS5301?

You need GNA5022, GNA5040 and MPH5041 before you enrol. Enrolment rules also apply.

When is BMS5301 offered?

BMS5301 has no offerings listed in the 2025 handbook.

How much work is BMS5301?

The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.

Does BMS5301 have an exam?

No. BMS5301 has 3 assessment tasks and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Medicine, Nursing and Health Sciences
Organisational unit
School of Biomedical Sciences
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
2025