Comprehensive Bioinformatics: Learn Genomics Data Analysis

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Abdul Rehman Ikram

8:32:19

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1. Introduction

1. Introduction to Genomics for Bioinformatics.mp4

05:56

2. Sequence Alignment

1. Pairwise Sequence Alignment.mp4

12:02

2. Multiple Sequence Alignment.mp4

07:58

3. Sequence Alignment Using Mega.mp4

06:19

3. Genome Annotation Analysis

1. Genome Annotation and visualization.mp4

07:20

4. Gene Structure Analysis

1. Intron and Exon Analysis.mp4

08:26

5. Linux in Bioinformatics (optional)

1. Introduction and Why CLI in Bioinformatics.mp4

06:02

2. CLI and GUI Explanation.mp4

03:24

3. if we already have Graphical user interface system why we should use CLI.mp4

07:07

4. Short Practical with Programming Language.mp4

03:15

5. Why Would You Use CLI over GUI.mp4

03:44

6. Drawbacks of CLI and GUI.mp4

02:53

7. Foundation behind CLI Shell explanation.mp4

07:40

8. Linux Introduction and Usage Over years.mp4

05:29

9. Linux Distros.mp4

05:03

10. Why Ubuntu Operating System.mp4

03:20

11. WSL Explanation.mp4

02:05

12. Linux Vs Unix.mp4

04:21

13. (Practical) Making A Subsystem For Linux In Windows OS.mp4

05:06

14. Linux File Handling Commands.mp4

11:05

15. Accessing And Creating Files In Windows Os.mp4

03:28

16. Basic Process Management Commands for Linux OS.mp4

07:07

17. E-utilities on the Linux Command Line.mp4

03:44

18. Installing NCBI through CLi.mp4

01:19

19. Entrez Direct Functions.mp4

02:17

20. Mrna And Protein Seq Retrieval.mp4

03:08

21. Batch Retrieval of Protein Using Taxon Id.mp4

02:09

22. Retrieving CDS From Reference Genome.mp4

01:16

23. Explaining Different Commands.mp4

01:13

24. Commands.html

6. Variant Calling Analysis on Linux

1. Introduction of Course Section.mp4

03:51

2. Variants and Types.mp4

07:20

3. Understanding the Metadata and Softwares.mp4

05:22

4. Getting Data From SRA Using SRA Toolkit.mp4

07:18

5. Quality Control and Trimming.mp4

09:46

6. Sam and Bcf Tools and Fixing NS and Calling Variants.mp4

07:49

7. Alignment to Reference Genome.mp4

10:15

8. Separation of SNPs and Indels Variants.mp4

05:17

9. Visualizing Variants Using IGV and UCSC Browser.mp4

03:37

10. Pipeline Code.html

7. Gene location on Chromosome

1. Gene location on Chromosome Analysis.mp4

11:17

8. Transcriptomics (NGS Data) Analysis using GUI and CLI

1. Introduction of Course Section.mp4

03:24

2. Next-generation sequencing.mp4

02:56

3. Generations of Sequencing.mp4

06:12

4. NGS Workflow.mp4

04:07

5. SRA Database introduction.mp4

03:22

6. SRA File.mp4

02:54

7. Galaxy Server Intro to Goals.mp4

07:04

8. Galaxy Server And Objects.mp4

04:48

9. Getting Onto Galaxy.mp4

02:14

10. Tools For NGS Data Analysis.mp4

03:35

11. Getting SRA Runs from Databases And platform.mp4

03:25

12. Ncbi Genome to Galaxy.mp4

03:32

13. Getting Sra Runs To Galaxy.mp4

05:12

14. Fastqc Tool To Dataset Generated Dataset.mp4

05:22

15. Trimmomatic Tool On Dataset.mp4

06:09

16. Alignmentgenome Mapping.mp4

04:57

17. Abundance Estimation Tool On Dataset.mp4

05:30

18. From Values To Visuals (Heatmap).mp4

07:41

19. Understanding NGS For Linux.mp4

04:55

20. Getting the SRA Reads.mp4

08:18

21. Bioinformatics Pipeline.mp4

07:55

22. Checking the Quality of Data.mp4

07:39

23. Quality Trimming of data.mp4

04:34

24. Aligners and Aligning Reads to genome.mp4

12:48

25. SAM and Bam File Indexing and Sorting.mp4

07:15

26. Feature Extraction.mp4

08:43

27. Pipeline Code.html

9. Proteomics

1. Protein Structure Prediction.mp4

05:29

2. Homology Modeling.mp4

11:09

3. GUI based Modeling of Proteins.mp4

15:33

4. Command Line based Protein Modeling.mp4

24:41

5. De-Novo and Machine Learning Modeling.mp4

20:11

6. Protein Visualization Analysis.mp4

07:46

7. Motifs and Domains analysis.mp4

12:05

8. Protein Physical Parameters and Location Analysis.mp4

05:27

9. Protein Pathway and Enrichment Analysis.mp4

10:13

10. Protein-Protein Interaction Network.mp4

09:28

11. Proteins Pathway Analysis.mp4

06:08

10. Phylogenetics

1. Phylogenetics Analysis.mp4

16:44

11. Functional Genomics

1. Gene Enrichment Analysis.mp4

06:46

Description

Unlocking Genomic Data Analysis Mysteries through Practical Bioinformatics Applications for Research Purpose

What You'll Learn?

Understand Genomic Fundamentals
Sequence Alignment
Genome Annotation Analysis
Gene Structure Analysis
Variant Calling
Gene Location on chromosome
Transcriptomics
Proteomics
Phylogenetics
Functional Genomics
Bioinformatics Tools for Genomic Analysis
Practical Genomics Data Analysis
Research-oriented Bioinformatics Techniques
Genomic Sequencing and Coding
Transcriptomics Data analysis

Who is this for?

Biologists and Geneticists

Bioinformatics Enthusiasts

Healthcare and Medical Professionals

Computer Science and IT Professionals

Researchers and Academics

What You Need to Know?

Basic Biological Knowledge

Curiosity and Enthusiasm

Computer Literacy

More details

Description
Embark on a transformative journey into the fascinating realm of genomics and bioinformatics with our course, "Comprehensive Bioinformatics: Learning Genomics Data Analysis." This comprehensive program is meticulously crafted to empower learners with the knowledge and skills essential for unlocking the secrets encoded in the DNA of living organisms.
What You Will Learn:
This course takes a hands-on approach, guiding you through the following key areas:
Genomic Fundamentals:
Gain a deep understanding of the structure and function of genomes.
Explore the language of DNA and the genetic code.
Bioinformatics Basics:
Learn how bioinformatics tools are integral to genomics research.
Develop proficiency in handling and processing large genomic datasets.
Genomic Data Analysis Techniques:
Acquire practical skills in analyzing genomic data using a variety of bioinformatics tools.
Explore methods for variant calling, gene location on chromosomes, and gene structure analysis.
Applications in Research:
Understand how genomics contributes to disease research, biotechnology, and agriculture.
Explore real-world case studies to apply your knowledge in research-oriented scenarios.
Capstone Project:
Apply your acquired skills and knowledge in a comprehensive capstone project.
Demonstrate your proficiency in genomics data analysis using bioinformatics tools.
Who Should Enroll:
Biologists, geneticists, and healthcare professionals eager to enhance their skills in genomics data analysis.
Computer science and IT professionals interested in transitioning into bioinformatics.
Researchers and academics across diverse disciplines seeking to integrate genomics into their projects.
Students in biological sciences looking to expand their practical skills in genomics and bioinformatics.
Prerequisites:
While a basic understanding of biology and computer literacy is recommended, this course is designed to accommodate learners with varying levels of expertise.
Outcome:
Upon completion, you will possess the tools and knowledge to navigate genomic landscapes, making you adept at employing bioinformatics for comprehensive genomics data analysis. Join us on this exciting journey to decode the genetic blueprint and contribute to cutting-edge research and discovery. Enroll now to unlock the potential of genomics!
Who this course is for:
Biologists and Geneticists
Bioinformatics Enthusiasts
Healthcare and Medical Professionals
Computer Science and IT Professionals
Researchers and Academics

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My teaching skills might not be as good as experienced and professional instructors on Udemy who made handsome profits from their courses, but I am sure that I have a sincere passion to teach, to broaden my professional networks, and teach that I love to do in my bioinformatics work.My goal is to help you to understand highly complex biological data and improve your computational skills in the analysis of Genomics, Proteomics, and Transcriptomics DATA using various Bioinformatics Approaches.if you have any queries about any of my work please let me know in my Udemy inbox section I'll be happy to answer all of your questions.That was All Folks!!

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