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NGS RESEARCH ORIENTED COURSE ( 3 MONTH )

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

  • Foundational Bioinformatics: Cover genomic bioinformatics, Linux operations, and cloud technology as essential foundational concepts.
  • Python Mastery: Master Python basics and delve into advanced topics crucial for bioinformatics applications.
  • Biopython and NGS Analysis: Explore Biopython for sequence manipulation and leverage it for NGS data analysis.
  • R Programming Fundamentals: Learn essential R programming skills and its application in bioinformatics tasks.
  • Introduction to Bioconductor: Familiarize yourself with Bioconductor for sequence analysis and effective data visualization.
  • NGS-DNA Seq Analysis: Delve into DNA Seq data analysis techniques including data retrieval, read mapping, and variant detection.
  • HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.

Course Outcomes

  • Gain foundational knowledge in bioinformatics and DNA Seq data analysis.
  • Master Python programming for bioinformatics applications.
  • Utilize Biopython for efficient biological sequence manipulation.
  • Acquire R programming skills for statistical analysis in bioinformatics.
  • Understand the role of Bioconductor in genomic data analysis.
  • Apply acquired skills in a one-month NGS project on DNA sequencing, gaining real-world experience and enhancing practical proficiency.

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 Overview and Installation of Linux
1 Hour

2 Basic Linux Commands
1 Hour

3 Advanced Linux Commands
1 Hour

4 Package Management using Repository
1 Hour

5 Package Management using Source Code
1 Hour

1 Introduction to Python
1 Hour

2 Data Types
1 Hour

3 String Handling
1 Hour

4 Data Structure
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 File Handling
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Biopython
1 Hour

1 Introduction and Installation of R
1 Hour

2 Data Types in R
1 Hour

3 Data Structure
1 Hour

4 File Handling
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 Package Management
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Statistical Analysis
1 Hour

1 Introduction to NGS and DNAseq
1 Hour

2 Basic Terminologies in NGS
1 Hour

3 Understanding of SRA database
1 Hour

4 Quality control
1 Hour

5 Trimming of Reads
1 Hour

6 Indexing of Genome and Alignment of Reads
1 Hour

7 Variation calling using GATK
1 Hour

8 Variant Effect Prediction(VEP)
1 Hour

9 Variation Visualization (IGV)
1 Hour

Instructor

Dr.Omics

0 Rating
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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 3 Months

  • Skill Level Intermediate

  • Lectures 34 lessons

  • Full lifetime access

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