Скачать или смотреть A Complete Beginner-to-Pro Workflow in Computational Biology

This comprehensive teaching blueprint—“200 Hours of Rage and Aggression”—guides absolute beginners through the full end-to-end workflow of modern computational biology. Designed for lecturers, supervisors, and content creators who want to train students like industry-ready professionals, this guide breaks 196 hours of teaching into structured 2-hour sessions. It covers everything from ethics and sampling, GeneXpert results, wet-lab processes, metadata design, WGS pipelines (FastQC, fastp, BWA-MEM2, samtools, bcftools), TB-Profiler/Mykrobe, genome assembly and annotation, pangenome analysis, all the way to reverse vaccinology and immunoinformatics (VaxiJen, BepiPred, NetMHCpan, TMHMM, IEDB population coverage, structural modelling).
It includes built-in classwork, hands-on exercises, mini-projects, and reproducibility practices—crafted to turn complete novices into confident computational biologists capable of handling real-world pathogens like Mycobacterium tuberculosis.

10 KEYWORDS

computational biology, bioinformatics training, TB whole genome sequencing, MDR-TB workflow, immunoinformatics, pangenome analysis, reverse vaccinology, TB-Profiler, beginners bioinformatics course, genomic data analysis

TAGS (comma-separated)

computational biology, bioinformatics, tuberculosis genomics, WGS analysis, immunoinformatics, reverse vaccinology, pangenomics, genome assembly, TB-Profiler, educational workflow00:00 – 00:45 — Introduction

Brief overview of the program, what “200 Hours of Rage and Aggression” means, and who the course is designed for.

00:45 – 02:00 — Module 0: Getting Started (Orientation & Linux Basics)

How beginners transition into computational biology, Linux fundamentals, folder structure, metadata basics.

02:00 – 03:30 — Module 1: Ethics, Sampling, and Study Design

Stakeholder involvement, ethical approvals, sampling strategy across geographic regions, and building useful metadata.

03:30 – 05:00 — Module 2: Wet-Lab to Sequencer Workflow

From sputum to FASTQ: GeneXpert, smear microscopy, culture, DNA extraction, library prep, Illumina sequencing.

05:00 – 06:30 — Module 3: Core WGS Pipeline (The Heart of the Program)

Using FastQC, fastp, BWA-MEM2, samtools, bcftools, and quality-control techniques for real sequencing data.

06:30 – 08:00 — Module 4: Genomes, Annotation & Pangenomes

SPAdes assembly, Bakta annotation, gene presence/absence, identifying core vs accessory genes, and constructing phylogenies.

08:00 – 10:00 — Module 5: Reverse Vaccinology & Immunoinformatics

Selecting immunogenic proteins, epitope prediction (BepiPred, NetMHCpan), allergenicity/toxicity checks, and population coverage.

10:00 – 11:00 — Module 6: The Skill Integration Phase

Reproducible research practices, scripting automation, group projects, interpreting results, and preparing thesis-ready outputs.

11:00 – 12:00 — What Students Will Achieve by the End

Ability to run full pipelines, interpret AMR, select vaccine candidates, manage bioinformatics data, and present computational results professionally.

12:00 – END — Closing & Call to Action

Summary, encouragement, next steps, and invitation to join the full course or follow the channel for updates.
🔥 30–45 Second YouTube Hook (High-Retention Script)

“What if I told you that in less than 200 hours, you could learn the exact workflow used by real scientists to go from a sputum sample… to predicting drug resistance… to designing vaccine candidates?

Welcome to 200 Hours of Rage and Aggression — the only beginner-friendly bioinformatics roadmap that takes you inside the full computational biology pipeline. No shortcuts. No confusion. Just pure, hands-on mastery.

Across 196 practical hours, you’ll learn how to organize raw FASTQ files, run FastQC like a pro, trim reads, align genomes, call variants, interpret TB resistance, build pangenomes, and even design immunoinformatic vaccine constructs — step by step.

So if you’re a student, a researcher, or a beginner who has ever looked at bioinformatics and thought, ‘Where do I even start?’… this is your starting point.

Let’s dive into the workflow that transforms complete novices into real computational biologists.”