📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of NGS Data Processing and Interpretation, from foundations to a certified capstone project.
Outline
What is Next-Generation Sequencing? • Difference between Sanger sequencing and NGS • Common NGS platforms: Illumina, Ion Torrent, PacBio, Oxford Nanopore • Applications of NGS in health, agriculture, microbiology, and biotechnology • Basic types of NGS studies: DNA-Seq, RNA-Seq, WGS, targeted sequencing, and metagenomics
Outline
What are sequencing reads? • Basic NGS file formats: FASTQ, FASTA, SAM, BAM, VCF, GTF/GFF • Introduction to read quality • Phred quality score in simple terms • Read length, depth, and coverage • Why good-quality data is important
Outline
Why quality control is needed in NGS • Introduction to FastQC reports • Common quality issues in sequencing data • Adapter contamination and low-quality reads • Basics of read trimming and filtering • Introduction to tools like FastQC, MultiQC, Trimmomatic, Cutadapt, and fastp
Outline
Overview of a simple NGS analysis workflow • Introduction to read alignment and genome mapping • Basic idea of SAM/BAM files • Introduction to variant calling and VCF files • Basic idea of RNA-Seq count data and gene expression • Introduction to biological interpretation • Preparing a simple NGS analysis summary report
Earn government-registered certification in NGS Data Processing and Interpretation
e-Certificate and e-Marksheet issued on successful completion.
