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Instructor Name

Dr. Omics (PB)

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

  • Bioinformatics Fundamentals: Introduction to genomic bioinformatics and key databases like GenBank and PubMed. Exploration of essential bioinformatics tools such as BLAST and Mega.
  • Next Generation Sequencing (NGS) Basics: Understanding the role of bioinformatics in NGS and its applications. Overview of NGS techniques, platforms, and data analysis methods.
  • Linux Essentials for Bioinformatics: Introduction to Linux system basics for efficient data management and processing.
  • Conclusion and Resources: Summary of key concepts and practical implications. Provision of additional resources for further learning in bioinformatics and NGS.
  • Introduction to Cloud Technology: Brief overview of cloud technology, focusing on AWS for bioinformatics applications.
  • Pipeline Engineering Basics: Introduction to pipeline engineering for streamlined data analysis workflows.

Course Outcomes

  • Gain a foundational understanding of genomic bioinformatics and key databases like GenBank and PubMed.
  • Master essential bioinformatics tools such as BLAST and Mega for sequence analysis.
  • Understand the role of bioinformatics in NGS and its applications, along with an overview of NGS techniques and platforms.
  • Acquire basic Linux system skills for efficient data management and processing in bioinformatics.
  • Summarize key concepts and provide additional resources for further learning in bioinformatics and NGS.
  • Familiarize with cloud technology, particularly AWS, and the basics of pipeline engineering for streamlined data analysis.


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 Projects: 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 (12.08.2024) M2T4 = Package Management using Repository(N715724)
1 Hour


2 (13.08.2024)M2T5 = Package Management using Source Code(N715724)
1 Hour


1 Introduction to Bioinformatics (N715724)
1 Hour


2 NCBI Database Overview (N715724)
1 Hour


3 Genbank Database Practical Exercises (N715724)
1 Hour


4 UCSC Genome Browser Overview (N715724)
1 Hour


5 UCSC Genome Browser Hands-on Exercises (N715724)
1 Hour


6 Pubmed Database Introduction (N715724)
1 Hour


7 M1T8 = KEGG Database Overview and Exercises
1 Hour


8 Clinvar Database Overview (N715724)
59 Min


9 M1T9 = Protein Databases (UniProt)
1 Hour


10 M1T10 = Protein Databases (PDB)
1 Hour


11 M1T11 = Online BLAST Introduction and Exercises
59 Min


12 M1T12 = Standalone BLAST Setup and Exercises
1 Hour


13 M1T13 = Standalone BLAST Advanced Exercises
59 Min


14 M1T14 = Multiple Sequence Alignment with ClustalW
1 Hour


15 M1T15 = Multiple Sequence Alignment with MEGA
1 Hour


1 Overview and Installation of Linux
1 Hour


2 Basic Linux Commands
1 Hour


3 Advanced Linux Commands
59 Min


4 Package Management using Repository
59 Min


5 Package Management using Source Code
59 Min


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Beginners to Bioinformatics (N715724)

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