Genetics and Next Generation Sequencing for Bioinformatics

For software professionals entering Bioinformatics: DNA sequencing data analysis, NGS, & Biology prerequisites

4.48 (2145 reviews)

Udemy

platform

English

language

Other

What you will learn

Foundation in DNA, RNA, and Genetics

Use cloud-based platform Galaxy to analyze large sequencing datasets

Recent advances in DNA sequencing technology

Assess quality of raw data

Applications in Personalized Cancer Therapy and Disease Research

Use FastQC and Trimmomatic to improve data quality

Course Gallery

Genetics and Next Generation Sequencing for Bioinformatics – Screenshot 1 — Screenshot 1 – Genetics and Next Generation Sequencing for Bioinformatics

Genetics and Next Generation Sequencing for Bioinformatics – Screenshot 2 — Screenshot 2 – Genetics and Next Generation Sequencing for Bioinformatics

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Genetics and Next Generation Sequencing for Bioinformatics – Screenshot 4 — Screenshot 4 – Genetics and Next Generation Sequencing for Bioinformatics

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Comidoc Review

Our Verdict

Genetics and Next Generation Sequencing for Bioinformatics offers an engaging deep dive into DNA, RNA, and Genetics for software professionals. Although the course falls short on visual support and practical exercises, the informative content and accessible approach to sequencing technology make it a valuable starting point for beginners in bioinformatics.

What We Liked

Covers the foundations of DNA, RNA, and Genetics, making it accessible for software professionals without prior bioinformatics knowledge
Explains recent advances in DNA sequencing technology and applications in Personalized Cancer Therapy and Disease Research
Provides a detailed overview of the DNA sequencing data analysis process using the cloud-based platform Galaxy
Highly engaging for beginners, with clear and informative content, and well-defined concepts

Potential Drawbacks

Lacks visual aids to support molecular biology topics, making it harder for some learners to grasp certain concepts
The rapid pace of the course might make it challenging for beginners with no background in genetics or bioinformatics to follow along
Needs more practical exercises and assessments throughout the course to reinforce learning outcomes
The last module on data analysis is incomplete, leaving learners without a comprehensive overview of processing and analyzing NGS data