Data-Driven Insights into Anaerobic Microbes: A Bioinformatics Workshop
“Decode the Invisible: Deep Science Meets Data-Driven Discovery of Anaerobic Microbial Worlds”
Skills you will gain:
About Program:
Anaerobic microbes play vital roles in diverse ecosystems, ranging from the human gut to extreme industrial bioreactors. Their unique metabolic capabilities make them key players in bioenergy production, waste treatment, and health. Yet, studying these organisms requires deep scientific understanding and advanced data processing techniques.
This bioinformatics workshop blends deep science foundations in microbial systems with deep learning-enabled analytics, helping participants explore genome and transcriptome datasets using cutting-edge bioinformatics tools. From KEGG to MG-RAST, from phylogenetic mapping to neural network applications, learners will build actionable skills for understanding and manipulating microbial systems in environmental, industrial, and biomedical domains.
Aim: This workshop aims to empower participants with the ability to analyze, interpret, and visualize large-scale bioinformatics data related to anaerobic microbes. It integrates principles of deep science and deep learning to decode microbial dynamics using real-world datasets. Participants will gain insight into microbial metabolism, gene expression, and community interactions under anaerobic conditions. The goal is to prepare attendees for advanced research and data-driven applications in microbial bioinformatics.
Program Objectives:
- Understand the physiology and genomics of anaerobic microbes
- Learn quality control and analysis of high-throughput microbial data
- Gain hands-on training in metagenomic, transcriptomic, and deep learning pipelines
- Explore metabolic pathway reconstruction and gene function inference
- Apply bioinformatics workflows for real-world research and industrial problems
What you will learn?
Day 1: Anaerobic Microbial Genomics & Data Handling
- Significance of anaerobic microbes in environmental and industrial systems
- Retrieval of genomic/metagenomic datasets (NCBI, MG-RAST)
- Quality control using FastQC
- Hands-on: Live demonstration of downloading, inspecting, and preparing data files
- Tools Used: NCBI, MG-RAST, FastQC
Day 2: Genome Annotation and Pathway Mapping
- Functional gene annotation with RAST
- Mapping anaerobic metabolic pathways using KEGG Mapper
- Live walkthrough: Annotating a genome and interpreting key pathways
- Tools Used: RAST, KEGG Mapper, UniProt
Day 3: Microbiome Profiling & AI Application
- Anaerobic microbiome analysis concepts (16S, OTU clustering, taxonomy)
- Demonstration of microbial community profiling using QIIME2
- Simple use-case of deep learning for gene classification using a pretrained model
- Tools Used: QIIME2, SILVA DB, Python (TensorFlow/Keras demo—not coding from scratch)
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- B.Tech / B.Sc / M.Sc / M.Tech graduates or final-year students from Biotechnology, Bioinformatics, Life Sciences, or allied disciplines
- Professionals and researchers working in Genomics, Molecular Biology, Pharmaceutical R&D, or related areas
- Enthusiasts and learners interested in Transcriptomics, Computational Biology, or exploring careers in bioinformatics
Career Supporting Skills
Program Outcomes
- Mastery of microbial genome and transcriptome data analysis
- Competence in metagenomics pipelines and annotation platforms
- Exposure to deep learning applications in microbial pattern discovery
- Ability to apply deep science principles to anaerobic microbial research
- Certificate of Completion with skill-based tool training