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NGS INTERNSHIP ( 2 MONTHS )

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

  • Foundational Bioinformatics: Explore essential concepts in genomic bioinformatics, Linux operations, and cloud technology, laying the groundwork for further study.
  • Python Mastery: Master Python programming from basics to advanced topics crucial for bioinformatics applications.
  • Biopython and NGS Analysis: Dive into Biopython for sequence manipulation and leverage its capabilities for NGS data analysis.
  • R Programming Fundamentals: Learn essential R programming skills and discover its application in various bioinformatics tasks.
  • Introduction to Bioconductor: Familiarize yourself with Bioconductor for sequence analysis and effective data visualization in genomics.
  • NGS-DNA Seq Analysis: Delve into DNA Seq data analysis techniques, including data retrieval, read mapping, and variant detection, to uncover insights from genomic data.
  • 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 for bioinformatics applications.
  • Utilize Biopython effectively for biological sequence manipulation.
  • Acquire R skills for statistical analysis in bioinformatics.
  • Grasp the role of Bioconductor in genomic data analysis.
  • Apply skills in a 2-month NGS project, enhancing real-world 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 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 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

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 2 Months

  • Skill Level Intermediate

  • Lectures 20 lessons

  • Full lifetime access

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