Computational

Next Generation Sequencing Bioinformatics - Asia

3–8 November 2024

Monash University, Malaysia and Genome Institute of Singapore

Learn to analyse next generation sequence data to address a wide range of biological questions

Summary

In collaboration with the Monash University Malaysia Genomics Platform (MUMGP) and Genome Institute of Singapore, we are delighted to offer this free to attend course on application of bioinformatics tools and resources in the analysis of next generation sequence data.

High throughput sequencing has gained widespread adoption as an essential experimental assay for biological research. Analysing high throughput sequencing data involves an array of different bioinformatics tools and techniques. Therefore, it is important for experimental scientists to have the bioinformatics skills required to effectively assess and analyse data produced by next generation sequencing.

This course aims to provide a hands-on introduction to bioinformatics for next generation sequencing and to equip participants with the essential informatics skills and knowledge required to begin analysing next generation sequencing data and carry out some of the most common types of analysis.

Target Audience

The course is aimed at researchers or clinicians/ healthcare professionals actively engaged in or soon to commence work involving next generation sequencing data analysis.

Course Venue

This course will be held across two linked classrooms, one at Monash University Malaysia Genomics Platform (MUMGP) and Genome Institute of Singapore.

Learning outcomes

What will you be able to do?

After attending this course, participants will be able to:

  • Use the Linux command-line and advanced Linux commands for automating bioinformatics tasks
  • Evaluate the results of QC analysis of high throughput sequencing data
  • Understand the algorithmic concepts behind short read alignment and variant calling, and have practical experience of using relevant software
  • Analyse RNA-Seq data to measure abundance
  • Develop bioinformatics workflows

Programme

Programme

The hands-on programme will cover several aspects of next generation sequencing data analysis, including lectures, discussions and practical computational sessions covering the following:

  • Introduction to NGS technologies 
  • Introduction to the Linux command line
  • Linux for bioinformatics
  • NGS data formats and tools
  • Sequence alignment+QC
  • SNP/indel theory and practical
  • Structural variation theory and practical
  • RNA-seq analysis
  • Sequencing data visualisation with the Integrated Genomics Viewer
  • Genome assembly
  • Bioinformatics workflow essentials
  • Participant projects and presentations (final day)

*Please note: The practical sessions will be taught exclusively through Linux. Therefore, participants are required to have some familiarity with the Linux operating system. This will be essential for participants to fully benefit from the course. With this in mind, we will provide comprehensive pre-course material via our learning management system in the weeks immediately before the course. Additionally, there are numerous online introductory tutorials to the Linux operating system and command line, including:
http://www.ee.surrey.ac.uk/Teaching/Unix
http://swcarpentry.github.io/shell-novice/

The course should not be considered a complete education in the theoretical and mathematical foundations of the topics.

Instructors and speakers

Scientific Organising Committee

Qasim Ayub
Monash University, Malaysia

Jacqueline Keane
Wellcome Sanger Institute, UK

Thomas Keane
European Bioinfromatics Institute, UK

Instructors and Assistants

Arporn (Koi) Wangwiwatsin 
Khon Kaen University, Thailand

Jingtao Lilue
Oujiang Laboratory, China 

Adaikalavan Ramasamy
Genome Institute of Singapore

Aswini Leela Loganathan
Monash University, Malaysia

Vivek Iyer
Wellcome Sanger Institute, UK

Wee Wei Yee (Gavin)
Monash University, Malaysia

Gokce Oguz
Genome Institute of Singapore

Hong Leong Cheah
Monash University, Malaysia

Organisers 

Martin Aslett 
Wellcome Connecting Science

Isabela Malta
Wellcome Connecting Science

Alice Matimba 
Wellcome Connecting Science

Karon Chappell
Wellcome Connecting Science

How to apply

Prerequisites

This course is open to applicants from Asia. Applicants should be postdoctoral scientists, senior PhD students, junior faculty members or clinicians/ healthcare professionals actively engaged in or soon to commence research involving next generation sequencing data analysis. The course will be taught in English.

Please note that the classroom in Singapore is available to residents of Singapore only.

How to Apply

  1. Start your application 
    • Click on the “Apply” button above to start your application. Please note that places are limited and will be awarded based on merit.
  2. Demonstrate the course’s relevance to your work

    • Our courses are in high demand. Please provide an outline of your work (research project(s) and/ or clinical/ healthcare activities). It is essential to clearly explain how the skills you will acquire from the course are directly relevant to your current role and beneficial to your work, research, or organisation. Preference will be given to applicants who have genomic sequence data to analyse.
  3. Letter of recommendation
    • Applications must be supported by a letter of recommendation from a sponsor or professional referee such as supervisor, line manager, or head of department. The statement should be tailored to indicate their  support of your application and how the course could be of benefit. This statement must be uploaded as a PDF document to the online registration system by the application deadline. Applications without a supporting statement will not be considered.
  4. Need Help?
    • If you have any questions or encounter any problems with the online application process, please contact us for assistance.

Cost

Cost

The course is funded by Wellcome Connecting Science and is free to attend.

Bursaries

Bursaries are offered based on merit to assist with travel, accommodation, and living expenses during the course. To apply, please complete the “bursary” section on the course application form. Recipients will typically be informed of their award in conjunction with their course acceptance. Please keep in mind that both the applicant and sponsor must provide a justification for the bursary as part of the application process.

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Testimonials

Feedback from the 2019 Overseas NGS Bioinformatics courses:

“I appreciate the excellent the organizers and instructors, and I will recommend this course because I think that it applied a excellent method of teaching, which is learning by doing”.

“I thank you for being selected for the course and have the opportunity to learn about the NGS bioinformatics analysis and meet people from all over Latin America who work in the same area as me”.

“I have benefitted tremendously from this course. I am now able to perform some bioinformatics analyses on my sequencing reads and also provide some basic level of guidance to my colleagues”.

“The first day of networking and getting to know everyone was very helpful in breaking
the ice and getting comfortable”.

“I definitely enjoyed the real hands-on practical work, with necessary and sufficient time allocated
for it, and that we had more than enough instructors that could assist us”. 

“The best thing about this course was focus given to practicals, the experience and knowledge of
the instructors, and the number and diversity of instructors”.

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