NGS & Transcriptomics Analyst Bundle: Master RNA-Seq, Variant Calling & Single-Cell Genomics

NGS & Transcriptomics Analyst Bundle: Master RNA-Seq, Variant Calling & Single-Cell Genomics

Take your bioinformatics skills to the next level with the NGS & Transcriptomics Analyst Bundle, a comprehensive learning pathway designed for students, researchers, and professionals who want to master modern next-generation sequencing (NGS) data analysis.

As sequencing technologies continue to revolutionize genomics, transcriptomics, precision medicine, and biotechnology, the ability to analyze large-scale sequencing datasets has become one of the most valuable skills in life science research. This bundle provides a complete hands-on training experience covering the most important areas of NGS analysis, from bulk RNA sequencing and variant detection to single-cell transcriptomics and advanced RNA biology.

Through real-world datasets, practical projects, and industry-standard bioinformatics tools, you will learn how to process raw sequencing data, perform quality control, align reads to reference genomes, quantify gene expression, identify genetic variants, analyze single-cell populations, and investigate complex transcriptomic features such as long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and RNA modifications.

Unlike theory-only courses, this bundle focuses on practical implementation using Linux, R, and Python-based bioinformatics workflows. You will gain experience working with widely used tools and packages including FastQC, BWA, Samtools, FeatureCounts, DESeq2, edgeR, Seurat, Scanpy, and many others that are commonly used in academic research and biotechnology industries worldwide.

By completing this bundle, you will develop the skills needed to independently perform transcriptomics and genomics analyses, contribute to research projects, publish scientific findings, and pursue careers in bioinformatics, genomics, computational biology, and precision medicine.

Courses Included

✅ Hands-On RNA-Seq Analysis Crash Course: From FASTQ to Differential Expression

✅ Learn Variant Calling NGS Data Analysis: A Hands-on Bioinformatics Course

✅ Learn Single-Cell RNA-Seq Data Analysis Using R and Python

✅ Learn Advanced Transcriptomics: lncRNA, miRNA & Psi-Seq Data Analysis

What You’ll Learn

RNA-Seq Data Analysis

• Build complete RNA-Seq analysis pipelines from raw FASTQ files to biological interpretation
• Perform quality control, trimming, alignment, and gene expression quantification
• Conduct differential gene expression analysis using DESeq2 and edgeR
• Perform pathway enrichment and functional analysis

Variant Calling and Genomics

• Analyze next-generation sequencing data for SNP and InDel detection
• Perform genome indexing, alignment, and BAM file processing
• Call and filter variants using industry-standard tools
• Interpret and visualize genomic variants for biological research

Single-Cell RNA Sequencing

• Understand the principles and applications of single-cell transcriptomics
• Perform quality control, normalization, clustering, and visualization of single-cell datasets
• Identify marker genes and characterize cellular populations
• Analyze cellular heterogeneity in complex biological systems

Advanced Transcriptomics

• Analyze long non-coding RNAs (lncRNAs)
• Perform microRNA (miRNA) sequencing analysis
• Predict novel miRNAs using bioinformatics tools
• Detect and analyze RNA modifications using Psi-Seq workflows
• Integrate multiple transcriptomics datasets for advanced biological insights

Bioinformatics Tools & Programming

• Use Linux for large-scale NGS data analysis
• Work with R and Python for biological data processing
• Build reproducible bioinformatics workflows
• Analyze real-world sequencing datasets used in modern research

Research & Career Skills

• Develop practical NGS analysis skills used in academia and industry
• Learn workflows applicable to genomics, transcriptomics, biotechnology, and precision medicine
• Complete portfolio-ready projects for research and career development
• Gain confidence to perform independent bioinformatics analyses

Ideal For

• MSc and PhD Students
• Bioinformatics Researchers
• Genomics Scientists
• Computational Biologists
• Biotechnology Professionals
• Life Science Researchers
• NGS Data Analysts
• Anyone interested in transcriptomics and genomics research

Master the technologies driving modern genomics research and become a skilled NGS and Transcriptomics Analyst through hands-on, project-based learning.