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Applied Genomics Internship Topics

Browse all focused areas across all internship categories under this field.

Applied Genomics Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–5 of 5 internship topics
Metagenomic Data Analysis and Taxonomic Classification
Interns will process raw sequencing data from microbiome samples using bioinformatic pipelines to identify and classify microbial organisms. They will learn to work with tools like QIIME2, Kraken, and MetaPhlAn to generate taxonomic profiles and abundance tables from metagenomics datasets.
Microbiome Applied Genomics ResearchView internship →
Functional Annotation and Pathway Analysis
Interns will annotate microbial genes and predict functional capabilities of microbiome communities using tools such as HUMAnN3 and KEGG databases. They will construct metabolic pathway networks to understand how microbiota contribute to host health and disease phenotypes.
Microbiome Applied Genomics ResearchView internship →
16S rRNA Gene Amplicon Sequencing and Community Profiling
Interns will analyze 16S rRNA gene sequences to characterize bacterial and archaeal community composition across different environmental or clinical samples. They will perform quality control, OTU clustering, and statistical analysis to compare microbiome diversity and structure between sample groups.
Microbiome Applied Genomics ResearchView internship →
Metatranscriptomics and Gene Expression in Microbiomes
Interns will analyze RNA-sequencing data from environmental or clinical samples to determine which microbial genes are actively expressed in complex communities. They will investigate how environmental conditions or host factors drive changes in microbial gene expression patterns.
Microbiome Applied Genomics ResearchView internship →
Microbiome-Host Interaction Genomics
Interns will integrate microbiome genomic data with host genomic and phenotypic information to identify associations between specific microbial taxa/functions and host health outcomes. They will apply correlation analysis, machine learning models, and statistical frameworks to uncover microbiome-host interaction mechanisms.
Microbiome Applied Genomics ResearchView internship →
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