Course Self Paced All Levels Dr. Omics Edu

Basics of Bioinformatics Internship

Master the essential computational tools to decode genomic data and accelerate discovery in the life sciences.

  • 5.0/5
  • English
  • Starts 16 Nov 2026
  • Updated Oct 2026
INR

₹3000

USD

$50

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

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Basics of Bioinformatics Internship

About this course

The Basics of Bioinformatics Internship is an industry-aligned, self-paced professional training program designed for life science, biotechnology, and computer science students. This program bridges the gap between traditional biology and modern computational data science by introducing learners to biological databases, genomic data retrieval, and sequence analysis workflows. Learners can study flexibly at their own speed while working on hands-on practical assignments using cutting-edge open-source tools and AI-driven methodologies. The curriculum covers essential concepts including GenBank, NCBI BLAST, structural bioinformatics, and introductory programming scripts for biological data. Guided project milestones enable participants to build an impressive portfolio ready for industrial R&D or academic research. By the end of this self-paced internship, participants will possess the computational fluency required to evaluate complex biological datasets and decode molecular information efficiently.

What you will learn

Biological Database Navigation: How to access, query, and manage primary and secondary biological repositories like NCBI, Ensembl, and UniProt.
Sequence Alignment Methodologies: Performing global and local alignments using computational algorithms such as BLAST, FASTA, and dynamic programming.
Genomics and Transcriptomics Fundamentals: Understanding gene prediction, open reading frames (ORFs), genome annotation, and Next-Generation Sequencing (NGS) data pipelines.
Structural Bioinformatics & 3D Modeling: Exploring macromolecular structures, protein visualization software, and introductory molecular docking principles.
AI & Programming in Life Sciences: Implementing basic Python/Biopython scripts and machine learning applications for automated biological data processing.

Skills you will gain

Bioinformatics Genomics Proteomics Sequencing Alignment Biocomputing Data-Mining Scripting Modeling Visualization
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • Module 1: Basics of Bioinformatics-
  • Introduction to Bioinformatics and its Applications in Life Sciences
  • NCBI Genbank Database
  • NCBI Genbank Database- Exercise questions
  • UCSC Genome Browser Overview
  • UCSCTable Browser-Hands-on Exercises
  • BLAST
  • Module 2: Linux Essentials for Bioinformatics
  • Linux - Introduction and installation
  • Linux Commands
  • Module 3: R for Bioinformatics
  • Introduction Installation
  • Data types and Variables
  • Data Structure
  • Package management
  • Data Visualization
  • Module 4: Practical Genomics: NGS –DNA-seq and simultaneously project on DNA seq
  • Introduction to NGS and DNAseq
  • Understanding of SRA database and Tool installtion
  • Tools installation in Linux for Variation Calling
  • Quality control and Trimming of Reads
  • Indexing of Genome and Alignment of Reads
  • Variation calling using GATK
  • Variant Effect Prediction(VEP)

What you need to start

  • Basic foundational understanding of high school or undergraduate-level biology (DNA, RNA, proteins, and genetics).
  • No prior coding experience is strictly mandatory, as the course covers programming fundamentals from scratch, though basic computer literacy is required.
  • A stable internet connection and a laptop/PC for accessing online learning materials and open-source bioinformatics tools.

Who this course is for

  • Undergraduate & Postgraduate Students: Students pursuing degrees in Biotechnology, Bioinformatics, Microbiology, Biochemistry, Life Sciences, or Pharmacy wanting practical exposure.
  • Researchers & Academicians: Life science professionals aiming to transition into computational biology or integrate data-driven techniques into their wet-lab research.
  • Tech Professionals & Data Analysts: Programmers and data scientists seeking domain knowledge in genomics, proteomics, and biomedical data processing.
INR

₹3000

USD

$50

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Make an Enquiry
This course includes
  • Format Self Paced
  • Level All Levels
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics Edu
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