Learn ChIP-seq Data Analysis Using bioinfo Linux Pipeline

سرفصل های دوره

Master ChIP-seq Data Analysis: From Quality Control to Peak Annotation and Motif Finding Using Bioinformatics Tools

1. Introduction to Chip-Seq

1. Understanding ChIP-seq Principles and Applications and Workflow

2. Theoretical Foundations and Tools

1. 1st Step of Chip-Seq Data Analysis

2. 2nd Step of Chip-Seq Data Analysis

3. 3rd Step of Chip-Seq Data Analysis

4. 4th Step of Chip-Seq Data Analysis

5. 5th Step of Chip-Seq Data Analysis

6. 6th Step of Chip-Seq Data Analysis

7. 7th Step of Chip-Seq Data Analysis

8. 8th Step of Chip-Seq Data Analysis

9. Tools Assignment.html

3. Linux Essentials for Bioinformatics

1. Getting Started with Linux for Bioinformatics

2.1 Lecture 01 (1).pdf

2. Hands-On Experience with Basic Linux Commands

3.1 Bioinformatics software.docx

3.2 Bioinformatics tools (1).pptx

3. Bioinformatics Tools Installation

4. E-utilities on Linux

5. Using Linux on Windows WSL

6. Windows Subsystem for Linux assignment.html

4. Practical Pipeline Implementation

1.1 Using SRA ToolKit .txt

1. Downloading the Dataset and Genome

2.1 Pipeline.txt

2. Step 1 Quality Check and Adapter Removal with Fastp

3.1 Pipeline.txt

3. Step 2 Alignment Against Reference Genome with BWA

4.1 Pipeline.txt

4. Step 3 Sorting and Converting SAM to BAM with Samtools

5.1 Pipeline.txt

5. Step 4 Sorting and Indexing BAM Files with Samtools

6.1 Pipeline.txt

6. Step 5 Filtering Reads by Quality with Samtools

7.1 Pipeline.txt

7. Step 6 Peak Calling with MACS2

8.1 Pipeline.txt

8. Step 7 Installing HOMER

9.1 Pipeline.txt

9. Step 8 Annotating Peaks and Motif Discovery with HOMER

5. Course Recap

1. Course Recap Lecture

6. The Final Project

1. The Final Quiz.html

2. Final Project.html

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تولید کننده: Udemy