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Transcriptomics: RNA to Single Cell Applications

Original price was: INR ₹99.00.Current price is: INR ₹49.00.

Transcriptomics: RNA to Single Cell Applications is a intermediate-level, 1 Month online course by NSTC. Master key concepts and practical skills in Genomics through hands-on projects, real-world case studies, and expert mentorship. Earn your e-Certification + e-Marksheet upon successful completion.

SKU: NSTC-01220 Category:
Attribute
Detail
Format
Online (e-LMS)
Level
Intermediate
Duration
1 Month
Certification
e-Certification + e-Marksheet
Tools
BWA, SAMtools, GATK, FastQC, Trimmomatic, R/Bioconductor

About the Transcriptomics Course

This DeepScience-powered, self-paced certificate course delivers a structured journey through the fast-evolving domain of transcriptomics—from RNA sequencing (RNA-seq) fundamentals to cutting-edge single-cell transcriptomics and spatial gene expression technologies. Participants will explore how transcriptomic data unlocks insights into gene regulation, disease biomarkers, and precision medicine.
Designed with real-world application in mind, this course bridges molecular biology with computational genomics. Through expert-led lectures, case studies, and tool-based walkthroughs, you’ll gain actionable skills in biological data science and modern bioinformatics workflows.

Program Highlights

• Comprehensive coverage of Transcriptomics from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Genomics
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Genomics
• Career-oriented training for academic and professional growth in Genomics

Course Curriculum

Module 1: Transcriptomics in System Biology

  • RNA Extraction, QC & Sequencing Technologies
  • RNA-seq Data Processing & Quality Control
  • Transcriptomics Software: FASTQC, STAR, Kallisto

Module 2: RNA-seq Data Analysis

  • Read Mapping & Genome Annotation (using HISAT2, Ensembl)
  • Quantification of Gene Expression (TPM, FPKM, raw counts)
  • Data Normalization Techniques for Transcriptomic Integrity
  • Statistical & Machine Learning Approaches to Differential Expression Analysis

Module 3: Single Cell Transcriptomics

  • Introduction to Single Cell RNA-seq (10x Genomics, Smart-seq2)
  • Protocols for Single Cell Library Prep & Barcoding
  • Processing Pipelines: Cell Ranger, Seurat, Scanpy
  • Visualizing Cell Clusters & Gene Markers (UMAP, t-SNE)

Module 4: Advanced Transcriptomic Applications

  • Spatial Transcriptomics & Tissue Mapping Technologies
  • Multi-Omics Integration: Proteomics, Metabolomics & RNA-seq
  • Translational Case Studies in Cancer , Neuroscience , and Immunology
  • DeepTech Trends: AI in Transcriptomics, Synthetic Biology Intersections

Tools, Techniques, or Platforms Covered

BWA
SAMtools
GATK
FastQC
Trimmomatic
R/Bioconductor
IGV
PLINK

Real-World Applications

  • Apply Transcriptomics skills directly to academic research, thesis work, and publications
  • Build a professional portfolio showcasing practical Genomics competencies
  • Solve industry-relevant problems using Transcriptomics methodologies and tools
  • Contribute to open-source projects and collaborative research in Genomics
  • Prepare for competitive examinations, interviews, and professional certifications in Genomics

Who Should Attend & Prerequisites

  • Students pursuing degrees in Genomics, science, engineering, or related disciplines
  • Working professionals seeking to upskill or transition into Genomics roles
  • Researchers and academicians looking to adopt modern techniques in Genomics
  • Entrepreneurs, freelancers, and self-learners interested in practical Genomics knowledge

Prerequisites: Some familiarity with basic concepts in Genomics will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.

Frequently Asked Questions

1. What is the format of this Transcriptomics: RNA to Single Cell Applications course?
This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of Genomics concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 1 Month. The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Genomics. Our mentors are industry experts and experienced professionals.
Enroll in Transcriptomics: RNA to Single Cell Applications today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Genomics skills that matter.
Brand

NSTC

Format

Online (e-LMS)

Duration

1 Month

Level

Intermediate

Domain
Hands-On

Yes – Practical projects with industrial datasets

Tools Used

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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Hall of Fame.

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