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Transcriptomics: RNA to Single Cell Applications Course

Transcriptomics: RNA to Single Cell Applications Course

Original price was: USD $199.00.Current price is: USD $99.00.

This one-month program focuses on transcriptomics, offering an in-depth exploration of RNA sequencing, single-cell analysis, and data interpretation. Participants will gain practical skills in genomic techniques and computational tools, preparing them for advanced research in biology and biotechnology.

  • Perform end-to-end scRNA-seq analysis

  • Interpret biological findings from transcriptomic datasets

  • Understand spatial expression profiles

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Who Should Participate

This program is curated for:

  • Postgraduate students and PhD scholars in biotechnology, molecular biology, or bioinformatics

  • Industry professionals involved in molecular diagnostics, genomics R&D, or bioinformatics analysis

  • Faculty members and early-career researchers pursuing high-throughput gene expression studies

  • Clinicians and translational researchers exploring precision medicine tools

Certification Pathway

Participants who complete the full program—including assessments and a guided capstone project—will be eligible for an Advanced Certification in Transcriptomic Analysis. Certification is digitally verifiable and suitable for academic CVs, professional portfolios, and institutional documentation.

Format and Delivery

 

  • Mode: Self-paced via e-LMS (Electronic Learning Management System)

  • Duration: 4 weeks (with continuous access to learning materials)

  • Format: Lecture videos, readings, datasets, assignments, project guidance

  • Certification: Digital Certificate and Marksheet issued upon successful completion

MODE

Online/ e-LMS
TYPE

Self Paced
LEVEL

Moderate
DURATION

1 Month

Free: Foundation Module

Week 1: Foundations of Transcriptomics

  • The biological role and complexity of the transcriptome

  • RNA isolation protocols and quality control standards

  • Overview of transcriptome profiling technologies (bulk RNA-seq, qPCR arrays)

  • Introduction to primary tools (FASTQC, Salmon, Kallisto) for transcriptome quantification

  • Data formats and metadata structures (FASTA, GTF, FASTQ, BAM)

Learners will receive structured readings, curated datasets, and guided tutorials to gain confidence in basic transcriptomic workflows. Access is granted immediately after registration, without payment.

Premium Modules

These advanced topics are available only to enrolled participants.

Week 2: Bulk RNA-Seq Analysis and Interpretation

  • Alignment and quantification workflows using STAR and HISAT2

  • Gene annotation and expression matrix construction

  • Statistical analysis of differentially expressed genes (DEGs)

  • Case-based interpretation: tissue-specific gene signatures and functional pathways

  • Introduction to R-based visualization: heatmaps, MA plots, PCA

Week 3: Single-Cell Transcriptomics

  • Introduction to single-cell platforms: 10x Genomics, Smart-seq2

  • Cell barcoding and library preparation techniques

  • Computational analysis using Cell Ranger and Seurat

  • Cell-type clustering, marker gene discovery, and trajectory inference

  • Data visualization: t-SNE, UMAP, violin plots, dot plots

Week 4: Spatial and Integrated Transcriptomics

  • Overview of spatial transcriptomics technologies (Visium, Slide-seq)

  • Mapping gene expression onto tissue architecture

  • Batch effect correction and dataset integration (Harmony, LIGER)

  • Applied case studies: tumor microenvironments, neurodevelopment, immunoprofiling

  • Machine learning and deep learning models for transcriptomic pattern recognition

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