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WSQ Bioinformatics Data Analysis with R Bioconductor

Course Information

  • Sessions 4 days
  • Duration 32 hrs
  • Level Beginner
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Data and Statistical Analytics
TSC Code
HCE-DAT-4007-1.1

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Recognize significant trends and aberrant results in bioinformatics data using statistical techniques.
  • LO2: Use statistical tests and data analytics tools to estimate uncertainties and determine data acceptability.
  • LO3: Review datasets to uncover trends or patterns and identify potential causes of unacceptable data.
  • LO4: Develop new methods for analyzing large, complex bioinformatics datasets using specialized modeling software.
  • LO5: Facilitate discussions on applying big data analytics to examine bioinformatics issues and derive insights.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Bioinformatics Data Analysis with R Bioconductor

Course Code: TGS-2024049780
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

7 Review(s) | Add Your Review

What's This Course About

This WSQ Bioinformatics Data Analysis with R Bioconductor course equips learners with essential bioinformatics skills, focusing on using R Bioconductor to analyze biological data. Participants will explore sequence alignment, structural bioinformatics, and variant calling, while applying statistical techniques to uncover trends and interpret complex datasets. The course also covers statistical tests for data acceptability and introduces data visualization tools for bioinformatics.

Learners will dive into advanced topics such as machine learning for predictive modeling, genomic data analysis, and clustering biological data. With practical exercises in transcriptomics, variant detection, and big data analytics, students will gain the ability to develop new bioinformatics methods and facilitate discussions on bioinformatics issues. This course is ideal for professionals aiming to leverage R Bioconductor in solving real-world bioinformatics challenges.

WSQ Funding

Full Fee $2,000.00 Before GST
GST $180.00 9% of fee
Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $780.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2024049780)
  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us. 

Course FeeBefore Funding

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Introduction to Bioconductor and  Sequence Analysis

Overview of Bioinformatics

Understanding Sequence Alignment

Introduction to Bioconductor

Multiple Sequence Analysis

Interpreting Sequence Similarity Scores

Topic 2: Structural Bioinformatics and Variant Calling 

Introduction to Structural Bioinformatics

Analysing Protein Structures

Variant Calling Using Bioconductor

Evaluating Relationships Between Protein Structures and Functions

Topic 3: Transcriptomes, Genomics, and Variant Analysis 

Introduction to Transcriptome Data Analysis

Genomic Data Analysis and Visualization

Gene Expression Analysis and Differential Expression

Variant Detection and Annotation in Genomic Data

Topic 4: Machine Learning for Bioinformatics 

Introduction to Machine Learning

Machine Learning for Predictive Modelling in Bioinformatics

Clustering and Classification of Biological Data

Predictive Models for Genomic and Transcriptomic Data

Topic 5: Data Visualization for Bioinformatics 

Creating Data Visualizations using ggbio

Heatmaps for Transcriptomic and Genomic Data

Visualizing Biological Pathways and Networks

Communicating Biological Insights through Effective Visualizations

Assessment

  • Written Exam
  • Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software: NIL

Hardware: Windows and Mac Laptops

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $309.82. Absentee Payroll is not eligible.

Steps to Apply Skills Future Claim

  • The staff will send you an invoice with the fee breakdown.
  • Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
  • Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
  • Upload your invoice and click ‘Submit’

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

  • SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
  • All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
  • An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
  • UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
  • UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Job Roles

  • Bioinformatics Analyst
  • Data Scientist (Bioinformatics)
  • Computational Biologist
  • Biostatistician
  • Genomics Data Scientist
  • Bioinformatics Research Scientist
  • Molecular Data Analyst
  • Proteomics Data Analyst
  • Genomic Data Analyst
  • Clinical Bioinformatics Specialist
  • Bioinformatics Software Developer
  • Machine Learning Engineer (Bioinformatics)
  • Bioinformatics Consultant
  • Biotechnologist
  • Biomedical Data Scientist
  • R Programmer (Bioinformatics)
  • Big Data Analyst (Life Sciences)
  • Research Associate (Genomics)
  • Systems Biologist
  • Healthcare Data Scientist

Review

Customer Reviews (7)

Average Rating: 3.7/5 Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
N/A (Posted on 3/15/2026)
Average Rating: 4.3/5 Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
N/A (Posted on 3/15/2026)
Average Rating: 3.3/5 Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
N/A (Posted on 3/15/2026)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 2/2/2025)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 1/31/2025)

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