| 1 - Assignment Bioinformatics Analysis of Gene Sequences and Protein Structure.html | 7 KB | ||
| 1 - Intro to Internship in Bioinformatics.html | 1.6 KB | ||
| 1 - Project Comprehensive Bioinformatics Analysis of a Biological Dataset.html | 7.8 KB | ||
| 1 -2.1 Introduction to Tools and Techniques in Bioinformatics.mp4 | 7.9 MB | ||
| 1 -3.1 Introduction on Genomics.mp4 | 10.5 MB | ||
| 1 -4.1 Introduction to Computational Biology.mp4 | 18.3 MB | ||
| 1 -5.1 Introduction to Data Analysis and Machine Learning in Bioinformatics.mp4 | 11.6 MB | ||
| 1 -6.1 Drug Discovery and Development 1.mp4 | 99.6 MB | ||
| 1 -7.1 Literature Review in Bioinformatics 1.mp4 | 77.4 MB | ||
| 1 -Introduction.mp4 | 70 MB | ||
| 1 -Predict the Function of Non-Annotated Genes Using Supervised Learning Technique.mp4 | 146.1 MB | ||
| 10 -1.7. Challenges in Bioinformatics.mp4 | 16.4 MB | ||
| 10 -2.8 Bioinformatics tools - - Structural Bioinformatics Tools and Program.mp4 | 12.5 MB | ||
| 10 -4.8 Future Directions.mp4 | 22.1 MB | ||
| 10 -5.10Conclusion.mp4 | 8.9 MB | ||
| 10 -6.3 Personalized Medicine and Precision Healthcare.mp4 | 55.4 MB | ||
| 10 -7.4 Publishing Research Papers.mp4 | 23.3 MB | ||
| 11 -1.8. Future of Bioinformatics.mp4 | 18.3 MB | ||
| 11 -2.9 Techniques in Bioinformatics.mp4 | 59.2 MB | ||
| 11 -4.9 Conclusion.mp4 | 7.2 MB | ||
| 11 -6.4 Ethical and Legal Aspects of Bioinformatics.mp4 | 19.3 MB | ||
| 12 -1.9. Conclusion.mp4 | 6 MB | ||
| 12 -2.10Integration of Bioinformatics tools and techniques.mp4 | 9 MB | ||
| 13 -2.11Challenges and Future Directions.mp4 | 9.5 MB | ||
| 14 -2.12Conclusion.mp4 | 9.1 MB | ||
| 2 -1.1. Introduction to Bioinformatics.mp4 | 21.3 MB | ||
| 2 -2.2 Bioinformatics tools and Applications of Bioinformatics tools.mp4 | 18.1 MB | ||
| 2 -3.2 Functional Genomics.mp4 | 16.8 MB | ||
| 2 -4.2 Key Areas in Computational Biology 1.mp4 | 39.2 MB | ||
| 2 -5.2 Basis of Machine Learning in Bioinformatics.mp4 | 14.9 MB | ||
| 2 -6.1 Drug Discovery and Development 2.mp4 | 70.4 MB | ||
| 2 -7.1 Literature Review in Bioinformatics 2.mp4 | 36.5 MB | ||
| 2 -Analyze Genomic Mutations Associated with Specific Cancers Using Bioinformatic.mp4 | 129.2 MB | ||
| 3 -1.2. Fundamentals of Molecular Biology.mp4 | 25.3 MB | ||
| 3 -2.3 Bioinformatics tools -Sequence alignment tools 1.mp4 | 15.7 MB | ||
| 3 -3.3 Genome Sequencing and Assembly.mp4 | 52.8 MB | ||
| 3 -4.2 Key Areas in Computational Biology 2.mp4 | 39.6 MB | ||
| 3 -5.3 Tools and Platforms for Bioinformatics Data Analysis.mp4 | 9.5 MB | ||
| 3 -6.1 Drug Discovery and Development 3.mp4 | 37.8 MB | ||
| 3 -7.1 Literature Review in Bioinformatics 3.mp4 | 65.9 MB | ||
| 4 -1.3. Key Areas of Bioinformatics.mp4 | 19.4 MB | ||
| 4 -2.3 Bioinformatics tools -Sequence alignment tools 2.mp4 | 79.3 MB | ||
| 4 -3.4 Introduction to Proteomics.mp4 | 16 MB | ||
| 4 -4.3 Tools in Computational Biology.mp4 | 9.3 MB | ||
| 4 -5.4 Machine Learning Techniques in Bioinformatics.mp4 | 90.7 MB | ||
| 4 -6.1 Drug Discovery and Development 4.mp4 | 12.5 MB | ||
| 4 -7.1 Literature Review in Bioinformatics 4.mp4 | 16 MB | ||
| 5 -1.3. Key Areas of Bioinformatics 2.mp4 | 18.8 MB | ||
| 5 -2.4 Bioinformatics tools -Genomic Data Analysis tools.mp4 | 132 MB | ||
| 5 -3.5 Structural and Functional Proteomics.mp4 | 19.1 MB | ||
| 5 -4.4 Techniques in Computational Biology 1.mp4 | 22.9 MB | ||
| 5 -5.5 Omics Data Analysis.mp4 | 34.1 MB | ||
| 5 -6.1 Drug Discovery and Development 5.mp4 | 8.1 MB | ||
| 5 -7.1 Literature Review in Bioinformatics 5.mp4 | 16.7 MB | ||
| 6 -1.4. Core Concepts in Bioinformatics.mp4 | 195 MB | ||
| 6 -2.5 Bioinformatics tools -Protein Analysis tools 1.mp4 | 8.9 MB | ||
| 6 -3.6 Transcriptomics RNA-Seq Data Analysis.mp4 | 17.5 MB | ||
| 6 -4.4 Techniques in Computational Biology 2.mp4 | 26.3 MB | ||
| 6 -5.6 Applications of Artificial intelligence (AI) in Bioinformatics.mp4 | 24 MB | ||
| 6 -6.2 CRISPR and Gene Editing Tools 1.mp4 | 36.9 MB | ||
| 6 -7.2 Research Proposal Writing 1.mp4 | 46.3 MB | ||
| 7 -1.4. Core Concepts in Bioinformatics 2.mp4 | 15.3 MB | ||
| 7 -2.5 Bioinformatics tools -Protein Analysis tools 2.mp4 | 59.3 MB | ||
| 7 -3.7 Conclusion.mp4 | 7.4 MB | ||
| 7 -4.5 Phylogenetics-Tree Construction and Visualization.mp4 | 49.8 MB | ||
| 7 -5.7 Applications of Data Analysis and Machine Learning in Bioinformatics.mp4 | 62.9 MB | ||
| 7 -6.2 CRISPR and Gene Editing Tools 2.mp4 | 122.5 MB | ||
| 7 -7.2 Research Proposal Writing 2.mp4 | 188.8 MB | ||
| 8 -1.5. Scopes of Bioinformatics.mp4 | 40.3 MB | ||
| 8 -2.6 Bioinformatics tools -Phylogenetic Analysis tools.mp4 | 16.5 MB | ||
| 8 -4.6 Applications of Computational Biology.mp4 | 21.2 MB | ||
| 8 -5.8 Challenges in Applying Machine Learning to Bioinformatics.mp4 | 13.9 MB | ||
| 8 -6.2 CRISPR and Gene Editing Tools 3.mp4 | 27.5 MB | ||
| 8 -7.2 Research Proposal Writing 3.mp4 | 39.9 MB | ||
| 9 -1.6. Applications of Bioinformatics.mp4 | 27.1 MB | ||
| 9 -2.7 Bioinformatics tools -Pathway and Network Analysis tools.mp4 | 42.9 MB | ||
| 9 -4.7 Challenges in Computational Biology.mp4 | 13.6 MB | ||
| 9 -5.9 Future Directions.mp4 | 21.8 MB | ||
| 9 -6.2 CRISPR and Gene Editing Tools 4.mp4 | 71.9 MB | ||
| 9 -7.3 Data Visualization and Report Preparation.mp4 | 40.8 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 82 total files | |||
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.
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