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MASTERING DNA VARIANT CALLING AND RNA SEQUENCING DATA ANALYSIS COURSE

Instructor Name

Dr.Omics
Category

Internships

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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.
  • Comprehensive coverage of DNA sequencing data handling, including retrieval, quality assessment, and mapping to a reference genome.
  • 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

  • Gain proficiency in variant calling and annotation techniques for DNA sequencing data.
  • 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 DOWNLOAD BROCHURE

1 Introduction to NGS and DNAseq
1 Hour

2 Basic Terminologies in NGS
1 Hour

3 Understanding of SRA database
1 Hour

4 Tools installation in Linux for Variation Calling
1 Hour

5 Quality control
1 Hour

6 Trimming of Reads
1 Hour

7 Indexing of Genome and Alignment of Reads
1 Hour

8 Variation calling using GATK
1 Hour

9 Variant Effect Prediction(VEP)
1 Hour

10 Variation Visualization (IGV)
1 Hour

1 Introduction to RNAseq and it’s basic terminologies
1 Hour

2 Tools installation in Linux for Gene Expression analysis
1 Hour

3 Quality control and Trimming of reads
1 Hour

4 Indexing of Genome and Alignment of Reads
1 Hour

5 Normalization of Data (Cufflinks)
1 Hour

6 Merging of Data and Differential expression of genes
1 Hour

7 Understanding of DEG results
1 Hour

8 Annotation of DEG
1 Hour

9 Functional and Pathway Enrichment Analysis
1 Hour

10 Network Analysis
1 Hour

Instructor

Dr.Omics

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221 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 1 Month

  • Skill Level Advanced

  • Lectures 20 lessons

  • Full lifetime access

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