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Bio-Informatics

This comprehensive Bioinformatics course covers the essential concepts of computational biology, genomics, and biological data analysis. Beginning with an introduction to bioinformatics, you will explore biological databases, DNA, RNA, and protein sequence analysis, along with the computational tools used in modern biological research. The course covers sequence alignment, genome annotation, phylogenetic analysis, molecular evolution, and structural bioinformatics. You will gain hands-on experience with industry-standard bioinformatics tools, biological databases, and data visualization techniques while learning the fundamentals of programming for biological data analysis. The curriculum also introduces next-generation sequencing (NGS), molecular docking, and computational drug discovery. Through practical assignments and a capstone project, you will apply your knowledge to solve real-world challenges in genomics, biotechnology, and biomedical research.

Course Instructor: SKILLUMNI

₹4720.00 ₹6999.00 33% OFF

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Course Overview

Bioinformatics Course (2–3 Months)

This intensive, 2–3 month Bioinformatics course combines structured learning with hands-on experience to equip you with the essential skills and industry knowledge required to excel in the fields of bioinformatics, computational biology, and life sciences.

Month 1–2: In-Depth Training with Industry Mentors

Objective: Build a strong foundation in bioinformatics concepts and gain valuable industry insights under the guidance of experienced professionals.

Format: Pre-recorded content for flexible, self-paced learning.

Key Components:

Recorded Content: Access high-quality pre-recorded sessions that allow you to learn at your own pace.

Topics Covered: Core concepts including molecular biology fundamentals, genomics, proteomics, biological databases, DNA, RNA and protein sequence analysis, sequence alignment, phylogenetic analysis, structural bioinformatics, Python for bioinformatics, biological data visualization, next-generation sequencing (NGS), computational biology, and introductory drug discovery techniques.

Month 2: Practical Hands-On Project Experience

Objective: Apply your knowledge to real-world biological research and computational challenges through live projects and collaborative learning.

Key Components:

Live Research and Development Projects: Work on both minor and major bioinformatics projects involving genomic data analysis, sequence annotation, biological database mining, and computational research to strengthen your practical skills.

Collaboration: Collaborate with peers on research-oriented projects, enhancing your analytical, computational, and scientific problem-solving abilities.

Mentorship: Receive continuous guidance from industry experts and researchers, ensuring the application of best practices, modern bioinformatics tools, and real-world workflows throughout the project phase.

Certification

Upon successful completion of the program, you will receive:

  • Course Completion Certificate: Recognizing your mastery of bioinformatics concepts and successful completion of the training.
  • Collaborated Internship Completion Certificate: Validating the hands-on experience gained through real-world projects, biological data analysis, and collaborative research.

This course provides the ideal combination of flexible learning, expert mentorship, and practical experience to help you build a successful career in bioinformatics, genomics, biotechnology, pharmaceutical research, and computational biology.

Schedule of Classes

Course Curriculum

1 Subject

Bio-Informatics

3 Learning Materials

MODULE 1

CHAPTER 1

Video
01:07:50

CHAPTER 2

Video
01:06:28

CHAPTER 3

Video
00:48:00

MODULE 2

MODULE 3

MODULE 4

MODULE 5

Course Instructor

tutor image

SKILLUMNI

6 Courses   •   5 Students