Udemy - Advance Diploma in Bioinformatics with Internship Project

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  • Language English
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Infohash : A3755ACC743741818CBCA84530783C8774C6E7F6



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.

Files:

[ WebToolTip.com ] Udemy - Advance Diploma in Bioinformatics with Internship Project
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Module 1 Fundamentals of Bioinformatics
    • 1 -Introduction.mp4 (70.0 MB)
    • 10 -1.7. Challenges in Bioinformatics.mp4 (16.4 MB)
    • 11 -1.8. Future of Bioinformatics.mp4 (18.3 MB)
    • 12 -1.9. Conclusion.mp4 (6.0 MB)
    • 2 -1.1. Introduction to Bioinformatics.mp4 (21.3 MB)
    • 3 -1.2. Fundamentals of Molecular Biology.mp4 (25.3 MB)
    • 4 -1.3. Key Areas of Bioinformatics.mp4 (19.4 MB)
    • 5 -1.3. Key Areas of Bioinformatics 2.mp4 (18.8 MB)
    • 6 -1.4. Core Concepts in Bioinformatics.mp4 (195.0 MB)
    • 7 -1.4. Core Concepts in Bioinformatics 2.mp4 (15.3 MB)
    • 8 -1.5. Scopes of Bioinformatics.mp4 (40.3 MB)
    • 9 -1.6. Applications of Bioinformatics.mp4 (27.1 MB)
    2 - Module 2 Tools and Techniques in Bioinformatics
    • 1 -2.1 Introduction to Tools and Techniques in Bioinformatics.mp4 (7.9 MB)
    • 10 -2.8 Bioinformatics tools - - Structural Bioinformatics Tools and Program.mp4 (12.5 MB)
    • 11 -2.9 Techniques in Bioinformatics.mp4 (59.2 MB)
    • 12 -2.10Integration of Bioinformatics tools and techniques.mp4 (9.0 MB)
    • 13 -2.11Challenges and Future Directions.mp4 (9.5 MB)
    • 14 -2.12Conclusion.mp4 (9.1 MB)
    • 2 -2.2 Bioinformatics tools and Applications of Bioinformatics tools.mp4 (18.1 MB)
    • 3 -2.3 Bioinformatics tools -Sequence alignment tools 1.mp4 (15.7 MB)
    • 4 -2.3 Bioinformatics tools -Sequence alignment tools 2.mp4 (79.3 MB)
    • 5 -2.4 Bioinformatics tools -Genomic Data Analysis tools.mp4 (132.0 MB)
    • 6 -2.5 Bioinformatics tools -Protein Analysis tools 1.mp4 (8.9 MB)
    • 7 -2.5 Bioinformatics tools -Protein Analysis tools 2.mp4 (59.3 MB)
    • 8 -2.6 Bioinformatics tools -Phylogenetic Analysis tools.mp4 (16.5 MB)
    • 9 -2.7 Bioinformatics tools -Pathway and Network Analysis tools.mp4 (42.9 MB)
    3 - Module 3 Genomics, Proteomics and Transcriptomics
    • 1 -3.1 Introduction on Genomics.mp4 (10.5 MB)
    • 2 -3.2 Functional Genomics.mp4 (16.8 MB)
    • 3 -3.3 Genome Sequencing and Assembly.mp4 (52.8 MB)
    • 4 -3.4 Introduction to Proteomics.mp4 (16.0 MB)
    • 5 -3.5 Structural and Functional Proteomics.mp4 (19.1 MB)
    • 6 -3.6 Transcriptomics RNA-Seq Data Analysis.mp4 (17.5 MB)
    • 7 -3.7 Conclusion.mp4 (7.4 MB)
    4 - Module 4 Computational Biology
    • 1 -4.1 Introduction to Computational Biology.mp4 (18.3 MB)
    • 10 -4.8 Future Directions.mp4 (22.1 MB)
    • 11 -4.9 Conclusion.mp4 (7.2 MB)
    • 2 -4.2 Key Areas in Computational Biology 1.mp4 (39.2 MB)
    • 3 -4.2 Key Areas in Computational Biology 2.mp4 (39.6 MB)
    • 4 -4.3 Tools in Computational Biology.mp4 (9.3 MB)
    • 5 -4.4 Techniques in Computational Biology 1.mp4 (22.9 MB)
    • 6 -4.4 Techniques in Computational Biology 2.mp4 (26.3 MB)
    • 7 -4.5 Phylogenetics-Tree Construction and Visualization.mp4 (49.8 MB)
    • 8 -4.6 Applications of Computational Biology.mp4 (21.2 MB)
    • 9 -4.7 Challenges in Computational Biology.mp4 (13.6 MB)
    5 - Module 5 Data Analysis and Machine Learning in Bioinformatics
    • 1 -5.1 Introduction to Data Analysis and Machine Learning in Bioinformatics.mp4 (11.6 MB)
    • 10 -5.10Conclusion.mp4 (8.9 MB)
    • 2 -5.2 Basis of Machine Learning in Bioinformatics.mp4 (14.9 MB)
    • 3 -5.3 Tools and Platforms for Bioinformatics Data Analysis.mp4 (9.5 MB)
    • 4 -5.4 Machine Learning Techniques in Bioinformatics.mp4 (90.7 MB)
    • 5 -5.5 Omics Data Analysis.mp4 (34.1 MB)
    • 6 -5.6 Applications of Artificial intelligence (AI) in Bioinformatics.mp4 (24.0 MB)
    • 7 -5.7 Applications of Data Analysis and Machine Learning in Bioinformatics.mp4 (62.9 MB)
    • 8 -5.8 Challenges in Applying Machine Learning to Bioinformatics.mp4 (13.9 MB)
    • 9 -5.9 Future Directions.mp4 (21.8 MB)
    6 - Module 6 Practical Applications
    • 1 -6.1 Drug Discovery and Development 1.mp4 (99.6 MB)
    • 10 -6.3 Personalized Medicine and Precision Healthcare.mp4 (55.4 MB)
    • 11 -6.4 Ethical and Legal Aspects of Bioinformatics.mp4 (19.3 MB)
    • 2 -6.1 Drug Discovery and Development 2.mp4 (70.4 MB)
    • 3 -6.1 Drug Discovery and Development 3.mp4 (37.8 MB)
    • 4 -6.1 Drug Discovery and Development 4.mp4 (12.5 MB)
    • 5 -6.1 Drug Discovery and Development 5.mp4 (8.1 MB)
    • 6 -6.2 CRISPR and Gene Editing Tools 1.mp4 (36.9 MB)
    • 7 -6.2 CRISPR and Gene Editing Tools 2.mp4 (122.5 MB)
    • 8 -6.2 CRISPR and Gene Editing Tools 3.mp4 (27.5 MB)
    • 9 -6.2 CRISPR and Gene Editing Tools 4.mp4 (71.9 MB)
    7 - Module 7 Research Methodology and Scientific Writing
    • 1 -7.1 Literature Review in Bioinformatics 1.mp4 (77.4 MB)
    • 10 -7.4 Publishing Research Papers.mp4 (23.3 MB)
    • 2 -7.1 Literature Review in Bioinformatics 2.mp4 (36.5 MB)
    • 3 -7.1 Literature Review in Bioinformatics 3.mp4 (65.9 MB)
    • 4 -7.1 Literature Review in Bioinformatics 4.mp4 (16.0 MB)
    • 5 -7.1 Literature Review in Bioinformatics 5.mp4 (16.7 MB)
    • 6 -7.2 Research Proposal Writing 1.mp4 (46.3 MB)
    • 7 -7.2 Research Proposal Writing 2.mp4 (188.8 MB)
    • 8 -7.2 Research Proposal Writing 3.mp4 (39.9 MB)
    • 9 -7.3 Data Visualization and Report Preparation.mp4 (40.8 MB)
    8 - Projects
    • 1 -Predict the Function of Non-Annotated Genes Using Supervised Learning Technique.mp4 (146.1 MB)
    • 2 -Analyze Genomic Mutations Associated with Specific Cancers Using Bioinformatic.mp4 (129.2 MB)
    9 - Internship in Bioinformatics
    • 1 - Assignment Bioinformatics Analysis of Gene Sequences and Protein Structure.html (7.0 KB)
    • 1 - Intro to Internship in Bioinformatics.html (1.6 KB)
    • 1 - Project Comprehensive Bioinformatics Analysis of a Biological Dataset.html (7.8 KB)
    • Bonus Resources.txt (0.1 KB)

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