NGS Data Processing and Interpretation

This internship focuses on the basic understanding of Next-Generation Sequencing data, file formats, quality control, preprocessing, alignment concepts, variant interpretation, RNA-Seq data, and biological reporting.

Yes. The internship is designed for beginners and early-stage learners who want to understand NGS data analysis in a simple and structured way.

You will learn the basics of NGS, sequencing reads, FASTQ files, quality scores, QC reports, read cleaning, SAM/BAM files, VCF interpretation, RNA-Seq count data, and NGS report preparation.

Coding knowledge is helpful but not compulsory. The internship introduces Google Colab, Linux terminal awareness, and basic tool concepts in a beginner-friendly manner.

The internship introduces tools and concepts such as FastQC, MultiQC, Trimmomatic, Cutadapt, fastp, SAMtools awareness, IGV Genome Browser awareness, Google Colab, and Excel / Google Sheets.

NGS data processing is important because raw sequencing data must be checked, cleaned, organized, and interpreted before it can be used for biological or research conclusions.

Students, researchers, PhD scholars, faculty members, biotechnology learners, bioinformatics beginners, laboratory professionals, and life science learners can apply.

Learning NGS data interpretation can support career growth in genomics research, bioinformatics, biotechnology, clinical research, microbiology, agriculture, and molecular biology laboratories.

Yes. The internship helps learners understand how NGS results are interpreted and summarized, which can support academic projects, research reports, thesis work, and technical presentations.

Yes. Participants receive e-Certification + e-Marksheet upon successful completion of the internship. The NGS Data Processing and Interpretation Internship helps learners build a strong beginner-level foundation in sequencing data, quality control, preprocessing, alignment concepts, variant interpretation, RNA-Seq data, and biological reporting. It is a suitable starting point for learners who want to enter genomics, bioinformatics, biotechnology, and life science data analysis.