Analyse microbiome data end to end: QIIME2 amplicon analysis, shotgun metagenomics, diversity statistics, R visualization and scientific reporting.
Everything you need to know before enrolling.
Pick the plan that suits you and register from India or internationally.
Learn at your own pace with recordings
Metagenomics lets you study entire microbial communities directly from samples such as gut, soil or water. This course takes you through the complete analysis, from downloading raw sequencing data to writing up biological conclusions.
You set up a Linux environment, perform quality control, run a full QIIME2 amplicon workflow on a real dataset, measure alpha and beta diversity, explore shotgun metagenomics tools such as MEGAHIT, MetaBAT2, Prokka and MetaPhlAn, and create publication-quality figures in R and MicrobiomeAnalyst.
Ananya is a Bioinformatics professional with a strong foundation in multi-omics and computational biology. Holding a Master’s in Systems Biology, she specializes in microbiome analysis and has worked on diverse projects spanning phylogenomics, network biology, and transcriptomics. With a strong research background and a passion for integrating theory with hands-on research, Ananya is dedicated to engaging students in genomics, microbiome research, and data-driven biological insights. She is committed to advancing bioinformatics education and fostering a deeper understanding of computational approaches across various domains of life sciences.
17 answers about this course
Students, researchers, PhD scholars, biotechnology and life science graduates, bioinformaticians, and anyone interested in microbiome data analysis.
No. The course covers Linux, command-line tools, and metagenomics workflows from the fundamentals.
Yes. The course covers amplicon-based microbiome analysis using QIIME2 and the workflow and tools used in shotgun metagenomics.
Yes. Hands-on sessions include Linux commands, sequencing data QC, SRA data handling, QIIME2 analysis, and microbiome data exploration.
Yes. QIIME2 is covered in detail, including data formats, metadata, manifest files, demultiplexing, denoising, diversity analysis, phylogeny, visualization, and interpretation.
Yes. The course includes WSL, Linux file systems, navigation, command-line usage, and practical bioinformatics commands.
Yes. The training covers SRA Run Selector and SRA Toolkit for downloading sequencing datasets and working with FASTQ files.
Yes. The course covers the complete shotgun metagenomics workflow, major tools, functional profiling, and expected results.
MEGAHIT, MetaBAT2, Prokka, RSEM, MetaPhlAn, and other tools used across the shotgun metagenomics workflow.
Yes. The course introduces R and ggplot2 for visualization of microbiome datasets.
Yes. The course covers alpha diversity, beta diversity, PCoA, phylogenetic analysis, and interpretation of microbiome diversity results.
Yes. The course introduces statistical concepts and differential abundance approaches used in microbiome research.
Yes. MicrobiomeAnalyst is covered as a web-based platform for microbiome data analysis and visualization.
Yes. A dedicated session covers scientific report writing, results interpretation, and presentation of metagenomics findings.
Yes. The course progresses from fundamental metagenomics concepts and Linux basics to practical analysis and interpretation.
You will learn to understand metagenomics workflows, perform sequencing QC, work with QIIME2, analyze microbiome diversity, explore metagenomic datasets, visualize results, and interpret scientific findings.
You get full access to all course materials for 3 months from the date of enrollment.
No matching questions. Try another word or ask us directly.
Hear from learners building practical skills with Bio Help Learning.
★★★★★This training helped me develop practical skills in whole-genome sequencing analysis, from read quality control using FastQC and MultiQC to read trimming, genome alignment, coverage assessment, and variant calling. Working with a real public dataset helped me understand how different bioinformatics tools fit together in a complete analytical workflow. The hands-on activities strengthened my confidence in using command-line tools and interpreting genomic data. I particularly appreciated the practical approach and the opportunity to apply the concepts through a real project.
Yao Apélété Roland TOGLOUniversity of Lomé TogoWhole Genome Sequencing (WGS) Data Analysis Training
★★★★☆I really enjoyed the course and found it very useful: it gave a clear and practical overview of the whole WGS workflow, from raw reads to a VCF, and the hands-on sessions helped a lot.
Marc Peralta SerranoUniversity of Barcelona SpainWhole Genome Sequencing (WGS) Data Analysis Training
★★★★★The workshop provided me an understanding of the principles and techniques involved in bioinformatics, molecular docking, protein-ligand interactions, homology modeling, and drug design.
Ridam BhowmickMaulana Abul Kalam Azad University of Technology, West Bengal.Molecular Docking and Drug Discovery
★★★★★As i am from biotechnology background this workshop, actually very helpfull for me
Anushka ChavanDeogiri college AurangabadBioinformatics Training
★★★★★Learn about different molecular docking tools.
Shovan NaskarIndian Institute of Technology (Banaras Hindu University), VaranasiBioinformatics Workshop
★★★★★This workshop helped me to learn working with various softwares and also to develop an interest over drug designing
Subhodeep SahaUniversity of CalcuttaBioinformatics Training
★★★★★From this workshop I learned many new things such as docking, about new websites,how to use Swiss software,basic bioinformatics etc, it's very helpful for me.
Sayan DuttaUniversity of CalcuttaBioinformatics Training
★★★★☆The workshop was informative and provided valuable insights into bioinformatics tools and techniques.
Santhosh M EReva University BangaloreBioinformatics Tools and TechniquesA growing community learning bioinformatics and life-science skills across borders.
India
USA
Canada
UK
Germany
Australia
Singapore
UAE
Nigeria
Malaysia
France
Nepal
Saudi Arabia
ProgrammingBuild, test, deploy and scale bioinformatics software like an engineering team: Git workflows, CI/CD, Docker, Terraform, AWS, Kubernetes…
GenomicsUnderstand next-generation sequencing from library to FASTQ, and learn to assess and clean sequencing data with FastQC, MultiQC…
ProgrammingLearn R and the statistics every biologist needs: data frames, cleaning, hypothesis tests and publication-quality ggplot2 figures on…
GenomicsFind, retrieve and compare biological sequences: NCBI, Ensembl and UniProt, BLAST searches, pairwise and multiple alignment, and phylogenetic…
Build practical bioinformatics skills with hands-on, project-based courses.
