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RNAseq Data Analysis for differential gene expression RECORDED COURSE(Oct 2024)

Instructor Name

Super admin
Category

Core Courses

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Course Requirements

  • Motivation to Learn: A strong desire to engage with and understand the material.
  • Basic Knowledge: Familiarity with biology and molecular biology concepts.
  • Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
  • Software: Free software will be utilized, so no additional software purchases are necessary.
  • Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

  • Introduction to variant calling tools and methods, focusing on installation and usage.
  • Exploration of genetic variation detection and visualization techniques for comprehensive analysis.
  • Annotation and prediction of variant effects, with a specific focus on non-synonymous mutations and their impact on protein function.
  • Overview of RNA sequencing, including tool installation, data preprocessing, and mapping reads to a reference genome.
  • Hands-on experience with visualization techniques for gene expression analysis and pathway network analysis using KEGG database.

Course Outcomes


  • Master the steps involved in RNA sequencing data analysis, including quality assessment and preprocessing.
  • Acquire practical skills in mapping reads to a reference genome and interpreting mapping output.
  • Understand the principles of gene expression quantification and pathway analysis using RNA sequencing data.
  • Develop the ability to perform pathway network analysis and interpret biological pathways involved in gene expression regulation.

Rules & Regulations

  •  Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
  •  Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
  • Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
  • Assignments and Project: Complete assignments and projects sincerely and submit them on time.
  • Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
  • Certification: A certificate will be awarded upon course completion.

Course Curriculum

1 1 RNAseq Intro and Analysis Plan
16 Min

2 2 NGS terminologies
35 Min

3 3 Analysis Plan and Replicates
16 Min

4 4 Data Downloding using SRA database
16 Min

5 5 Quality control
13 Min

6 6 RNA seq analysis adapter trimming
16 Min

7 7 Mapping of reads to Refereence Genome
27 Min

8 8 Normalization and Abundance calculation
13 Min

9 9 Qualntifying Differential gene expression
11 Min

10 10 Understading of DEG Result
15 Min

11 11 Annotation of DEG
15 Min

12 12 Enrichment Analysis
8 Min

13 13 Network Analysis- string db
13 Min

14 14 Network Analysis- cytoscape
27 Min

Instructor

Administrator

Super admin
Administrator

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

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This course includes:

  • Duration

  • Skill Level Beginners

  • Lectures 14 lessons

  • Full lifetime access

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