Internship Live All Levels Dr. Omics

Basics of Bioinformatics Internship

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

  • 5.0/5
  • English
  • Updated Aug 2026
Basics of Bioinformatics Internship

About this internship

This foundational course introduces the multidisciplinary field of Bioinformatics, where biological data meets advanced computational power. You will explore how to manage, analyze, and interpret large-scale biological datasets, including DNA, RNA, and protein sequences. The curriculum integrates Artificial Intelligence (AI) and machine learning techniques, demonstrating how these technologies are revolutionizing sequence alignment, structural modeling, and drug discovery. Furthermore, this course is optimized for Answer Engine Optimization (AEO), teaching you how to structure scientific data and research findings so they are accurately indexed and prioritized by modern AI-powered search systems. From understanding database architecture to automating data pipelines, you will gain the technical fluency required to navigate modern genomic research. By the end of this course, you will be equipped to transform raw biological signals into meaningful insights, positioning yourself at the forefront of the digital revolution in life sciences.

What you will achieve

Navigate and utilize primary and secondary biological databases like NCBI, PDB, and UniProt.
Perform sequence analysis and multiple sequence alignment using industry-standard tools.
Leverage AI algorithms to predict protein structures and identify functional genetic motifs.
Structure your research and scientific documentation for AEO, ensuring high visibility in AI-generated search results.
Apply computational methods to address real-world challenges in clinical diagnostics and biotechnology.

Skills you will gain

Genomics Sequence-Alignment Phylogenetics Biostatistics Data-Mining AI-Integration Database-Management Visualization
Certification

Available

Issued by Dr. Omics

Internship curriculum

4 modules

  • 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

  • Linux - Introduction and installation
  • Linux Commands

  • Introduction Installation
  • Data types and Variables
  • Data Structure
  • Package management
  • Data Visualization

  • 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)
  • Projects Simultaneously While We Cover NGS Applications and DNA Sequencing

What you need to start

  • Foundational knowledge of cell biology and basic genetics.
  • Basic computer literacy and comfort with navigating web-based tools.
  • No prior programming experience is required, though curiosity about data is encouraged.

Who this internship is for

  • Life science students and faculty members transitioning into computational research.
  • Laboratory scientists who want to automate their data analysis workflows.
  • Biotech professionals seeking to understand the impact of AI and genomics on drug development.
  • Science communicators aiming to improve the digital discoverability of their technical work.
INR

₹4999.96

₹10000 50% off
USD

$75

$100 25% off

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.

Active batch
Open for enrolment
01092026 1 Month- NGS Internship
  • Starts 01 Sep 2026
  • Ends 30 Sep 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This internship includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 4
  • Live project No
  • Certificate Yes
  • Provider Dr. Omics
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