BIO HELP LEARNING COURSE

Research Project and Scientific Reporting

A mentored capstone: plan your own analysis on public data, write it up as a scientific report and share reproducible code and a presentation.

Genomics

◉ Intermediate◷ 12 Hours▣ Certificate Included

Course Information

Everything you need to know before enrolling.

LANGUAGEEnglish

Pre-Register for Live Training

Registration for the next live batch opens soon. Pre-register and our team will contact you with the batch dates, fees and registration link as soon as it opens.

Live online classes
Group & college batches
Certificate on completion

Pre-register for live training → Ask on WhatsApp Or email [email protected]

▤ Overview ☷ Curriculum ♙ Instructor ☆ Reviews ▣ FAQs

▤

About This Course

Knowing a workflow is different from running a project from question to conclusion. In this mentored capstone you design and complete your own small research analysis using public data.

You define a research question, choose a dataset, plan and run the analysis, prepare figures with clear legends, write methods, results and limitations, organize your code in a repository and present your work for feedback.

Who this course is for

Learners who have completed one of our analysis courses
MSc and PhD students preparing a thesis chapter or poster
Anyone building a portfolio project for applications

Prerequisites

At least one complete analysis workflow (for example RNA-seq, metagenomics, WGS or WES).

Final project

Your own research analysis on public data, delivered as a written report, a code repository and a 10-minute presentation.

◎

What You’ll Learn

✓Turn a broad topic into a focused research question

✓Select and justify a public dataset

✓Plan and run a reproducible analysis

✓Create clear figures and figure legends

✓Write methods, results and limitations

✓Share code in a documented repository

✓Present findings and respond to questions

⌘

Tools & Technologies

GEOSRAR or PythonGitGitHubJupyter or R MarkdownZotero

Course Curriculum

What you will learn, module by module

6 sessions 12 hours of training 24 topics Certificate on completion

- What makes a good research question
- Reading papers to find a gap
- Defining aims and hypotheses
- Mentor review of your question
- Finding suitable public datasets
- Checking metadata and sample sizes
- Writing an analysis plan
- Setting up a Git repository
- Reproducible scripts and notebooks
- Recording software versions and parameters
- Mentor check-in on results
- Troubleshooting common problems
- Choosing the right figure
- Writing informative legends
- Consistent styles across figures
- Preparing supplementary tables
- Methods that others can repeat
- Results that answer the question
- Discussion and limitations
- Citations and reference management
- Structuring a 10-minute talk
- Presenting to the group
- Answering questions
- Final feedback from mentors

♙

Your Instructor

Bio Help Learning Educator

Bioinformatics Educator & Mentor

Learn from experienced educators and practitioners through practical, career-focused bioinformatics training.

Frequently Asked Questions

6 answers about this course

Is this course recorded?

No. It runs as a small mentored cohort, because each learner receives individual feedback on their project.

Can I use my own lab data?

Projects normally use public data. Your own data may be possible if you have permission to use it; discuss it with us before joining.

Will this guarantee a publication?

No. The course helps you produce a well-documented analysis and report; publication depends on many other factors.

Will I get a certificate?

Yes, after submitting the report, the code repository and the presentation.

How do I get fee and batch details?

Pre-register on this page or contact us on WhatsApp, and our team will share the details.

How long will I have access to the course?

You get full access to all course materials for 3 months from the date of enrollment.

Still have a question?Our team usually replies within one working day.

Ask on WhatsApp →

WHAT OUR LEARNERS SAY

Real Stories. Real Growth.

Hear from learners building practical skills with Bio Help Learning.

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I really enjoyed the course and found it very useful: it gave a clear and practical overview of the whole WGS workflow, from raw reads to a VCF, and the hands-on sessions helped a lot.

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Learn about different molecular docking tools.

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The workshop was informative and provided valuable insights into bioinformatics tools and techniques.

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The Drug Discovery Workshop was highly informative and helped me gain valuable knowledge about the drug discovery process, including molecular docking, drug–target interactions, and computational tools used in drug design.

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