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METAGENOMICS AND MICROARRAY DATA ANALYSIS COURSE (ROC)

Instructor Name

Dr.Omics
Category

Research Oriented 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

  • Metagenome Analysis: Learn data retrieval and quality control techniques, as well as trimming and importing for metagenome analysis.
  • Diversity Analysis: Perform quality assessment and diversity analysis, exploring taxonomy and visualization using Krona plots.
  • Phylogenetic Analysis: Construct comprehensive phylogenetic trees using MEGA software.
  • Microarray Data Analysis: Master microarray technology and conduct differential expression studies using R.
  • Pathway Network Analysis: Utilize tools like stringDB and KEGG Mapper for pathway network analysis.
  • Data Visualization: Learn various visualization techniques like heatmaps and volcano plots for effective data interpretation.

Course Outcomes

  • Proficiency in targeted metagenome analysis techniques, from data retrieval to phylogenetic diversity analysis.
  • Mastery in microarray technology, including chip designing and data analysis using R.
  • Practical skills in quality control, normalization, and differential expression analysis for microarray data.
  • Ability to perform gene ontology pathway and enrichment analysis for understanding biological functions.
  • Competence in constructing pathway networks and visualizing gene expression patterns using advanced tools like Cytoscape and R.

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 DOWNLOAD BROCHURE

1 Introduction to metagenomics
1 Hour

2 Tools installation for metagenomics
1 Hour

3 Data Downloading
1 Hour

4 Quality control & Trimming
1 Hour

5 Data importing in Qimme2
1 Hour

6 Data quality check using DADA2
1 Hour

7 Phylogentic Analysis
1 Hour

8 Taxonomy Analysis
1 Hour

9 Krona Plot
1 Hour

10 Phylogenetic tree construction
1 Hour

1 Introduction to MIcroarray
1 Hour

2 Introduction to Microarray
1 Hour

3 Data Downloading
1 Hour

4 Microarray Pipeline upto Normalization
1 Hour

5 Microarray Pipeline till DEG
1 Hour

6 Annotation of DEG
1 Hour

7 Enrichment Analysis
1 Hour

8 Network Analysis
1 Hour

9 Volcano Plot
1 Hour

10 Heatmap
1 Hour

Instructor

Dr.Omics

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216 Students
44 Courses

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This course includes:

  • Live classes

  • For full fee and payment plan details, please contact us at 9310870544

  • Duration

  • Skill Level Beginners

  • Lectures 20 lessons

  • Full lifetime access

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