Everything you need to know before enrolling.
Choose the registration option that matches your needs.
Learn at your own pace with recordings
Fundamentals of metagenomics, key applications, and its role in modern microbiome research
Scope of microbiome research, databases, QC tools, metagenomic study designs, and introduction to amplicon analysis with QIIME2
QIIME2 workflow, file formats, metadata, manifest files, inputs/outputs, demultiplexing, denoising, phylogeny, and integrated tools
Ecology concepts, alpha and beta diversity, statistical approaches, differential abundance analysis, and introduction to Linux for bioinformatics
Setting up Windows Subsystem for Linux (WSL), command-line basics, file systems, navigation, and essential Linux commands
Practical command-line exercises, Anaconda environments, installation of FastQC, MultiQC, Cutadapt/Trimmomatic, and QIIME2 command exploration
Downloading metagenomic datasets using SRA Run Selector and SRA Toolkit, handling FASTQ files, and performing QC with FastQC and MultiQC
Running a complete QIIME2 workflow on sequencing data, alpha/beta diversity, PCoA, phylogeny, and introduction to visualization platforms
Exploring QIIME2 artifacts, visualizing results, interpreting microbiome data, summarizing the workflow, and drawing scientific conclusions
Shotgun metagenomics concepts, workflow, amplicon vs. shotgun sequencing, advantages, applications, and functional annotation
Complete shotgun workflow with tools including MEGAHIT, MetaBAT2, Prokka, RSEM, MetaPhlAn, and discussion of functional profiling and expected results
Microbiome data visualization, commonly used plots and graphs, introduction to R, and demonstration of ggplot2 for microbiome datasets
Analysis of target-gene and shotgun datasets using web-based platforms, exploring available tools and performing analysis without command-line workflows
Organizing analysis outputs into a scientific report, interpreting results, presenting findings, and working through a metagenomics case study
Student presentations, discussion of analysis outcomes, key learnings, feedback, and final course wrap-up
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.
16 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.
No matching questions. Try another word or ask us directly.
Hear from learners building practical skills with Bio Help Learning.
★★★★★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 Techniques
★★★★★The Drug Discovery Workshop was highly informative and helped me gain valuable knowledge about the drug discovery process, including molecular docking, drug–target interactions, and computational tools used in drug design.
ANUSHA P VCSIR-CCMB, Hyderabad IndiaDrug Discovery Workshop
★★★★★I learned various bioinformatics techniques and databases and how to use them to explore biological data. The training helped me understand the practical applications of bioinformatics in research.
Prabhavi Praveenkumar kambleSmt. C. H. M. College, MumbaiBioinformatics WorkshopA growing community learning bioinformatics and life-science skills across borders.
India
USA
Canada
UK
Germany
Australia
Singapore
UAE
Nigeria
Malaysia
France
Nepal
Saudi Arabia
Drug Discovery
Popular
GenomicsBuild practical bioinformatics skills with hands-on, project-based courses.