Advance Diploma in Bioinformatics with Internship Project
https://WebToolTip.com
Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 28m | Size: 2.97 GB
Complete Bioinformatics, with internship project, Tools and Techniques, Computational Biology, Data Analysis and ML
What you'll learn
You will learn about introduction to Bioinformatics, fundamentals of Molecular Biology, key areas of Bioinformatics, core concepts in Bioinformatics
Learn scopes of Bioinformatics, applications of Bioinformatics, challenges in Bioinformatics, future of Bioinformatics.
You will be able to know about introduction to Tools and Techniques in Bioinformatics, Bioinformatics tools and Applications of Bioinformatics tools.
You will also understand about Sequence alignment tools, Genomic Data Analysis tools, Protein Analysis tools
Learn Phylogenetic Analysis tools, Pathway and Network Analysis tools, Structural Bioinformatics Tools and Bioinformatics Programming Frameworks
Learn Introduction to Proteomics, Structural and Functional Proteomics. Gain knowledge on Transcriptomics and RNA-Seq Data Analysis
Learn about Introduction to Computational Biology, Key Areas in Computational Biology, Tools and Techniques in Computational Biology
Know about applications of Computational Biology, challenges in Computational Biology, future directions of computational biology
Learn about Introduction to Data Analysis and Machine Learning in Bioinformatics, basis of Machine Learning in Bioinformatics
Learn Tools and Platforms for Bioinformatics Data Analysis. You will also learn about Machine Learning Techniques in Bioinformatics
Know about Drug Discovery and Development. Learn about CRISPR and Gene Editing Tools. You will also have the knowledge on Personalized Medicine and Precision
Develop an understanding about Literature Review in Bioinformatics. Gain knowledge on Research Proposal Writing
Requirements
A foundational understanding of Biology, particularly in Genetics and Molecular Biology.
A basic knowledge of DNA Sequencing Methods and data interpretation.
Analytical skills and a curiosity for computational approaches to solving biological problems.