(16 Ratings)

Introduction to Bioinformatics & Its Advancements

Categories: Beginner's, Free
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About Course

BioCode is providing a free course which carefully selects multiple videos from different courses so that you can assess the quality and learning experience from a diverse range of our courses. Once you have gone through the free course, you can then pursue a specific course to your liking. If you want to access all courses through a single purchase, considering going with our All-Access Membership: https://biocode.org.uk/membership-plans/ – if you are interested in a specific course, then visit: https://biocode.org.uk/courses

Explore the field of bioinformatics with our free course. It covers various topics and offers hands-on experiences. Through curated videos, gain insights into cancer biology, data analysis techniques, molecular modeling, variant calling, single-cell RNA sequencing, and more.

In the first section, “Introduction to Cancer Biology, Cancer Types, and Abnormal Cell Cycles,” understand the basics of cancer biology. Learn about different cancer types and how abnormal cell cycles contribute to cancer development.

Dive into data analysis with “In-depth Introduction to RNA-Seq Data Analysis.” Learn effective RNA-Seq data analysis by mapping preprocessed reads to a reference genome using popular tools like HISAT2, TOPHAT2, BOWTIE2, and STAR.

Build on this foundation with Next-Generation Sequencing (NGS) and variant calling. Explore variant calling techniques and the role of Single Nucleotide Polymorphisms (SNPs) in genetic variation.

Discover gene expression analysis, specifically single-cell RNA sequencing (RNA-seq). Uncover the power of studying individual cells and gain insights through filtering data, clustering cell subpopulations, and comparing bulk RNA-sequencing with single-cell RNA-sequencing.

Learn gene ontology analysis using GeneCodis4, a powerful tool for gene functional annotation. Analyze serum level differences between healthy individuals and patients using swarm plots, a visualization technique.

For structural bioinformatics enthusiasts, explore hydrogen bond interactions in 3D structures. Focus on an antibiotic-resistant fungal mutant protein and understand the importance of hydrogen bonds in molecular interactions.

Get insights into bioinformatics freelancing, including opportunities and challenges.

Finally, learn energy minimization techniques for protein structures in simulations. Enhance your understanding of molecular modeling and its applications.

By the end of this free course, you’ll have gained valuable knowledge and practical skills in bioinformatics. Whether you’re interested in cancer research, data analysis, structural biology, or freelancing, this course provides a strong foundation. Join us on this exciting journey into the world of bioinformatics!

The course is totally free and does not require any payment.

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Course Content

Free Course

  • Introduction To Cancer Biology, Cancer Types And Abnormal Cell Cycles
  • Loop Modeling – Fixing the Unmodelled Regions in Target Proteins
  • In-depth Introduction to RNA-Seq Data Analysis
  • Practical: Mapping Preprocessed Reads Against a Reference Genome Using HISAT2, TOPHAT2, BOWTIE2, STAR
  • In-depth Introduction to NGS and Variant Calling
  • Single Nucleotide Polymorphisms: An Introduction to SNPs and Their Types
  • Introduction to Single-Cell RNA-seq, Its Pipeline and Analysis
  • Bulk RNA-sequencing vs. Single-Cell RNA-sequencing
  • Hands-on: Filtering Dead Cell and Low Quality Data
  • Hands-on: Clustering of Cell Subpopulations
  • Hands-on: Gene Ontology Analysis Using GeneCodis4
  • Comparison of Serums Levels in Healthy and Patients Through Swarm Plots
  • How to Identify Hydrogen Bond Interactions in 3D Structures (Antibiotic Resistant Fungal Mutant Protein)
  • In-Depth Introduction to Bioinformatics Freelancing
  • Energy Minimization – Relaxing and Fixing the Structure for Simulation

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Student Ratings & Reviews

Total 16 Ratings
16 Ratings
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7 days ago
the course was so good. it covered some of the basics of bioinformatics to advanced analysis and analysis techniques. it educated about making my scope in the field of freelancing as a bioinformatics analyst. it was great.
4 weeks ago
Great for understanding basic bioinformatics
Zeeshan Hyderi
4 weeks ago
Thank you so much for giving me opportunity to learn this course. I would like to thank the team behind this. My personal suggestion is : Please start a coding course of R for Bioinformatics and Phython for Bioinformatics for scholars of this field. Thanks and Jazakallah
It is more than 5 starts course, really I'm enjoying every single word has been said, it is exceeding my expectation and take me a wide forward steps in this carrier, my first interest is a microbial genomics, but it covered my gaps in so many areas especial RNA-seq and cancer genomics, thanks for the great efforts put in this course.
4 months ago
it was a nice course and very informative....
6 months ago
I’m medical laboratory technologist
6 months ago
Very good
7 months ago
For an introductory course, it was good.
7 months ago
7 months ago
it was very interesting and helpful
8 months ago
So good!
8 months ago
Yeah, Its good Courses for Bioinformatician, You can Briefly explain everything , Specially pymol & jupyter Software.
9 months ago
I enjoyed it,Very insightful especially on answering the questions I had in mind.Kudos! Great Job.
9 months ago
Explanatory and well-detailed.
I really learn a lot of different concepts and the material was really helpful.
9 months ago
Very useful and good for beginners.

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