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DSTC-00816 Online (e-LMS) Graduate / Intermediate

Biological Sequence Analysis using R Programming

by - DSTC

Analyse biological sequences with R.

★★★★★ Be the first to review • 4 Weeks · 40 hrs • e-Certificate Included
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From ₹5,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Biological Sequence Analysis using R Programming teaches the computational analysis of the sequences at the heart of molecular biology. You learn to handle biological sequences in R and Bioconductor — reading and manipulating DNA, RNA and protein data, performing alignments, searching for motifs and patterns, and analysing sequence features. The course connects R programming to real sequence-analysis tasks in genomics and molecular biology. You finish able to analyse biological sequences in R. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This course covers biological sequence analysis using R — handling, aligning and analysing DNA, RNA and protein sequences with R and Bioconductor.

📋 Course Objectives

1. Handle DNA, RNA and protein sequences in R.
2. Perform sequence alignments.
3. Search for motifs and patterns.
4. Analyse sequence features.
5. Build reproducible sequence analyses.

👥 Who Should Enroll?

• Molecular biologists and geneticists
• Bioinformatics students and staff
• Sequence-analysis researchers
• Anyone analysing biological sequences

🚀 Key Learning Outcomes

• The ability to analyse sequences in R.
• A sequence-bioinformatics perspective.
• A reproducible R workflow.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Foundations of Biological Sequence Analysis Using R Programming and Core Biological Principles

Implement Analysis with Biological Sequence Analysis for practical foundations of biological sequence analysis using r programming and core biological principles applications and outcomes. • Design R Programming with DNA sequencing for practical foundations of biological sequence analysis using r programming and core biological principles applications and outcomes. • Analyze genomic analysis with protein structure for practical foundations of biological sequence analysis using r programming and core biological principles applications and outcomes.

Module 2 Outline

Laboratory Techniques, Protocols, and Data Collection

Implement Analysis with Biological Sequence Analysis for practical laboratory techniques, protocols, and data collection applications and outcomes. • Design R Programming with DNA sequencing for practical laboratory techniques, protocols, and data collection applications and outcomes. • Analyze genomic analysis with protein structure for practical laboratory techniques, protocols, and data collection applications and outcomes.

Module 3 Outline

Bioinformatics Tools and Computational Analysis

Implement Analysis with Biological Sequence Analysis for practical bioinformatics tools and computational analysis applications and outcomes. • Design R Programming with DNA sequencing for practical bioinformatics tools and computational analysis applications and outcomes. • Analyze genomic analysis with protein structure for practical bioinformatics tools and computational analysis applications and outcomes.

Module 4 Outline

Research Methodology and Experimental Design

Implement Analysis with Biological Sequence Analysis for practical research methodology and experimental design applications and outcomes. • Design R Programming with DNA sequencing for practical research methodology and experimental design applications and outcomes. • Analyze genomic analysis with protein structure for practical research methodology and experimental design applications and outcomes.

Module 5 Outline

Advanced Biological Sequence Analysis Using R Programming Applications and Translational Research

Implement Analysis with Biological Sequence Analysis for practical advanced biological sequence analysis using r programming applications and translational research applications and outcomes. • Design R Programming with DNA sequencing for practical advanced biological sequence analysis using r programming applications and translational research applications and outcomes. • Analyze genomic analysis with protein structure for practical advanced biological sequence analysis using r programming applications and translational research applications and outcomes.

Module 6 Outline

Regulatory Compliance, Bioethics, and Safety Standards

Implement Analysis with Biological Sequence Analysis for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Design R Programming with DNA sequencing for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Analyze genomic analysis with protein structure for practical regulatory compliance, bioethics, and safety standards applications and outcomes.

Module 7 Outline

Industry Applications, Career Pathways, and Case Studies

Implement Analysis with Biological Sequence Analysis for practical industry applications, career pathways, and case studies applications and outcomes. • Design R Programming with DNA sequencing for practical industry applications, career pathways, and case studies applications and outcomes. • Analyze genomic analysis with protein structure for practical industry applications, career pathways, and case studies applications and outcomes.

Module 8 Outline

Publication-Ready Research and Scientific Documentation

Implement Analysis with Biological Sequence Analysis for practical publication-ready research and scientific documentation applications and outcomes. • Design R Programming with DNA sequencing for practical publication-ready research and scientific documentation applications and outcomes. • Analyze genomic analysis with protein structure for practical publication-ready research and scientific documentation applications and outcomes.

Module 9 Outline

Capstone: End-to-End Biological Sequence Analysis Using R Programming Research Project

Implement Analysis with Biological Sequence Analysis for practical capstone: end-to-end biological sequence analysis using r programming research project applications and outcomes. • Design R Programming with DNA sequencing for practical capstone: end-to-end biological sequence analysis using r programming research project applications and outcomes. • Analyze genomic analysis with protein structure for practical capstone: end-to-end biological sequence analysis using r programming research project applications and outcomes.

Technical Specifications

ParameterRequirement
Covered Tool / PlatformR Programming

Frequently Asked Questions

Biological Sequence Analysis using R Programming is a practical, hands-on course that teaches you how to analyze DNA, RNA, and protein sequences using R and the Bioconductor package ecosystem. You will learn to import FASTA/FASTQ files, perform quality control, calculate GC content, identify k-mers and ORFs, scan motifs, interpret sequence alignments, and create reproducible reports with RMarkdown/Quarto.

Yes, this course is designed for beginners in bioinformatics. No prior coding experience is required. It starts with complete R + Bioconductor setup and gradually builds your skills through guided exercises and real genomic datasets, making it ideal for UG/PG students, researchers, and life-science professionals.

Learning Biological Sequence Analysis with R gives you industry-standard bioinformatics skills that are in high demand. R + Bioconductor is the most widely used platform for reproducible genomic research. You will gain the ability to turn raw sequence data into meaningful biological insights, which is essential for genomics, proteomics, drug discovery, and modern biotechnology research.

After completing this course you can target roles such as Bioinformatics Analyst, Genomics Data Analyst, Junior Computational Biologist, Research Assistant in genomics/proteomics labs, and Omics Support Specialist. The course provides a complete capstone project and official DSTC certification that you can showcase on LinkedIn and resumes.

You will master Biostrings, GenomicRanges, rtracklayer, and other core Bioconductor packages, along with ggplot2 for visualization and RMarkdown/Quarto for reproducible reporting. The course also shows how to integrate Python where needed for hybrid workflows.

DSTC’s course stands out because it offers a complete hands-on capstone with real industrial-style datasets, full focus on reproducible research, and direct career guidance. Most other courses in India are either too theoretical or lack the depth in practical Bioconductor workflows and publication-ready reporting that this program provides.

The course is structured to be approachable for life-science students. While the concepts are advanced, the teaching is step-by-step with templates, practice datasets, and guided support. Most students with basic biology knowledge complete it comfortably within the 3-week duration.

Yes. You will receive an official DSTC e-Certification and e-Marksheet upon successful completion of assignments and the capstone project. The certificate is recognized for academic, research, and industry applications in India and abroad.

Absolutely. The course emphasizes reproducible analysis, publication-ready plots, and proper documentation — exactly what journals and research labs expect. You will also learn how to apply these skills to real research problems, gene family studies, and microbial genomics projects.

Yes. With the explosive growth of genomics, next-generation sequencing, and bioinformatics jobs in India and globally, this course gives you immediately usable, industry-relevant skills plus a strong portfolio project. Many students use the capstone directly in research papers or job applications.

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