Course details
OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.
Professional Certification in Next-Generation Sequencing (NGS) Data Analysis
Level
Advanced
Advanced
Duration
3 Months | 12 hours per week
3 Months | 12 hours per week
Flexible Schedule
Learn from anywhere.
Learn from anywhere.
Modules
7
7
Capsote Project
Real-world project with publication.
Real-world project with publication.
Course Modules
Enroll Now- Overview of NGS technologies: Illumina, Oxford Nanopore, PacBio
- Experimental designs and sample types
- File formats: FASTQ, FASTA, BAM, VCF, GTF
- Quality check with FastQC
- Trimming and filtering with Trimmomatic or Cutadapt
- Adapter removal and quality reports interpretation
- Read statistics and contamination checks
- Reference-based alignment (BWA, STAR, HISAT2)
- Indexing reference genomes
- Alignment visualization (IGV)
- SAM/BAM file handling (SAMtools)
- Transcript quantification (featureCounts, Salmon)
- Normalization methods (TPM, RPKM, DESeq2)
- Differential gene expression (DESeq2, edgeR)
- Visualization: heatmaps, volcano plots, PCA
- Variant calling pipeline (GATK, FreeBayes)
- SNP and INDEL calling, filtering
- Variant annotation (ANNOVAR, SnpEff)
- Functional impact prediction
- Taxonomic profiling (Kraken2, MetaPhlAn)
- Functional profiling (HUMAnN3)
- Alpha/beta diversity analysis (QIIME2)
- Visualization of microbiome data
- Shell scripting for pipeline integration
- Workflow managers (Snakemake, Nextflow)
- Reproducibility and project management
- Biological interpretation and result reporting
Course Overview
This course is designed to equip learners with comprehensive knowledge and practical expertise in analyzing high-throughput sequencing data, including DNA-Seq, RNA-Seq, and metagenomics. It emphasizes command-line tools, pipelines, and biological interpretation of sequencing data.
This course is designed to equip learners with comprehensive knowledge and practical expertise in analyzing high-throughput sequencing data, including DNA-Seq, RNA-Seq, and metagenomics. It emphasizes command-line tools, pipelines, and biological interpretation of sequencing data.
What You'll Learn
Principles of NGS technologies and platforms
Pre-processing and quality control of NGS data
Genome assembly and variant calling workflows
RNA-seq differential expression analysis
Metagenomic analysis pipelines
Use of command-line tools and workflow managers
Who Can Register
UG/PG life science students, PhD scholars, researchers, and industry professionals interested in genomics, transcriptomics, or microbiome analysis.
UG/PG life science students, PhD scholars, researchers, and industry professionals interested in genomics, transcriptomics, or microbiome analysis.
Prerequisites
Basic knowledge of molecular biology and genomics
Familiarity with Linux command line and scripting
Some exposure to R or Python (helpful but not mandatory)