https://omicslogic.com/, https://taplink.cc/omicslogic, https://www.linkedin.com/showcase/omicslogic/

OmicsLogic Inc, 10301 NORTHWEST Freeway STE 314, New Orleans, LA (2026)

08/30/2026

𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐧𝐞𝐮𝐫𝐨𝐧𝐬 𝐚𝐧𝐝 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐦𝐚𝐲 𝐛𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭, 𝐛𝐮𝐭 𝐛𝐨𝐭𝐡 𝐚𝐫𝐞 𝐛𝐮𝐢𝐥𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐢𝐝𝐞𝐚 𝐨𝐟 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐢𝐧𝐭𝐞𝐫𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐮𝐧𝐢𝐭𝐬.

Understanding artificial neural networks is an important step toward learning how machine learning can be used alongside bioinformatics, computational biology, and systems biology to analyze biological big data.

🧬 In our 𝟕-𝐖𝐞𝐞𝐤 𝐋𝐢𝐯𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬, you'll explore:

✅ Bioinformatics, computational biology, systems biology, and omics
✅ Biological big data, experimental design, and public datasets
✅ Machine learning, artificial neural networks, and deep learning
✅ Biomarker discovery, network inference, and drug target discovery
✅ Generative AI, LLMs, retrieval-augmented generation, and agentic AI workflows

💻 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐞𝐫𝐜𝐢𝐬𝐞𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: Interpreting model performance outputs, analyzing public datasets, interpreting ranked biomarker outputs, prioritizing candidate targets, and designing a safe AI-assisted biomedical workflow.

🔗 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗼𝗻 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗰𝘂𝗿𝗿𝗶𝗰𝘂𝗹𝘂𝗺, 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀, 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://forms.gle/qrHxGpAna2MGdgbHA

08/30/2026

🎉𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐎𝐮𝐫 𝐍𝐞𝐰𝐞𝐬𝐭 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 & 𝐃𝐫𝐮𝐠 𝐑𝐞𝐩𝐮𝐫𝐩𝐨𝐬𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐭𝐢-𝐎𝐦𝐢𝐜𝐬! 🧬💊

From disease networks to ranked repurposing candidates — this workshop takes you through a complete, real-world drug repurposing pipeline using a triple-negative breast cancer case study built on TCGA-BRCA data. 🧫

Over three days, you'll build protein–protein interaction networks from differential expression data, detect disease modules, integrate somatic mutation evidence, and prioritize candidate genes — before applying three drug-repurposing strategies: drug–target mapping, transcriptomic signature reversal, and network proximity scoring. 🕸️

Hands-on with Cytoscape, STRING, MCODE, NetworkX, cBioPortal, DGIdb, Open Targets, and CMap/LINCS — you'll walk away with practical experience turning multi-omics evidence into a ranked list of repurposing candidates. 📊

✨ By the end, you'll confidently build disease networks, prioritize targets using multi-omics evidence, and generate a ranked drug-repurposing candidate list backed by multiple lines of evidence.

📅 𝐃𝐚𝐭𝐞: October 5 - October 9, 2026
🕒 𝐓𝐢𝐦𝐞: 7:00 PM IST | 8:30 AM CDT
🎓 𝐅𝐨𝐫𝐦𝐚𝐭: Live + Hands-on

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://forms.gle/FpZjGExwJm9XWpKp9

08/30/2026

🧬 What can 16S rRNA sequencing tell us about a microbial community?

Metagenomics lets us study microbial communities without isolating and culturing individual organisms. One widely used approach is 16S rRNA gene sequencing, which targets conserved regions of the bacterial and archaeal 16S rRNA gene to profile the microorganisms present in a sample.

From sample preparation to sequencing and bioinformatics analysis, the workflow can help answer questions such as:

🔹 Which microorganisms are present?
🔹 How diverse is the microbial community?
🔹 How does community composition differ between samples?
🔹 Which taxa are associated with a particular environment or condition?

🧪 16S rRNA sequencing + bioinformatics = a powerful way to explore microbial diversity and community structure.

🦠🧬 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝟏𝟔𝐒 𝐦𝐢𝐜𝐫𝐨𝐛𝐢𝐨𝐦𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰?

Join 𝐌𝐢𝐜𝐫𝐨𝐛𝐢𝐨𝐦𝐞 𝐏𝐫𝐨: 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐁𝐞𝐧𝐜𝐡-𝐭𝐨-𝐃𝐚𝐭𝐚 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠, a 6-session practical program by 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 × ×

Learn the journey from 𝐬𝐚𝐦𝐩𝐥𝐞 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐢𝐧𝐠 to 𝐅𝐀𝐒𝐓𝐐 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐐𝐈𝐈𝐌𝐄𝟐, 𝐃𝐀𝐃𝐀𝟐, 𝐭𝐚𝐱𝐨𝐧𝐨𝐦𝐢𝐜 𝐩𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠, 𝐝𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, and 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧.

📅 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟖 – 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 𝟏𝟐, 𝟐𝟎𝟐𝟔
🕒 𝟕:𝟎𝟎 𝐏𝐌 𝐈𝐒𝐓 | 𝐋𝐢𝐯𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 + 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐃𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧𝐬

🎓 𝐎𝐩𝐞𝐧 𝐭𝐨: Students, researchers, PhD scholars, faculty, laboratory professionals, bioinformaticians, and life science professionals.

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫: https://forms.gle/7772osocGGt99JAY9

08/30/2026

🚀 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐍𝐨𝐰 𝐎𝐩𝐞𝐧 | ✨ 𝟒-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐁𝐮𝐥𝐤 𝐑𝐍𝐀-𝐒𝐞𝐪 𝐂𝐚𝐧𝐜𝐞𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧

This end-to-end, mentor-guided workshop is designed to help you confidently build, evaluate, and interpret machine learning and deep learning models for bulk RNA-Seq cancer classification. Work with real TCGA transcriptomics datasets while learning when deep learning provides meaningful advantages over classical machine learning approaches.

𝐖𝐡𝐚𝐭 𝐲𝐨𝐮’𝐥𝐥 𝐰𝐨𝐫𝐤 𝐨𝐧:
🧬 Understand bulk RNA-Seq data, TCGA datasets, and cancer classification workflows
🤖 Build and compare Logistic Regression, ElasticNet, XGBoost, and neural network models
🧠 Explore autoencoders, pathway-informed neural networks, BulkRNABert, and SHAP-based model interpretation
📊 Evaluate model performance using evidence-based benchmarking and best practices
🎯 Learn how to select the right machine learning or deep learning approach for real-world transcriptomics studies

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://forms.gle/M9d7EpRgnPXDWfVx6

🎯 𝐈𝐝𝐞𝐚𝐥 𝐟𝐨𝐫 graduate students, PhD scholars, researchers, bioinformaticians, computational biologists, and data scientists looking to build practical skills in AI-driven cancer transcriptomics.

08/30/2026

🧫🔬 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐍𝐨𝐰 𝐎𝐩𝐞𝐧: 𝟒-𝐃𝐚𝐲 𝐖𝐞𝐭-𝐋𝐚𝐛 𝐭𝐨 𝐃𝐫𝐲-𝐋𝐚𝐛 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐌𝐢𝐜𝐫𝐨𝐛𝐢𝐚𝐥 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐛𝐲 𝐒𝐚𝐧𝐠𝐞𝐫 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐢𝐧𝐠

𝐆𝐞𝐧𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐂𝐞𝐧𝐭𝐫𝐞 𝐏𝐯𝐭. 𝐋𝐭𝐝. and 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 have come together to deliver a unique collaborative workshop that combines hands-on laboratory training with practical bioinformatics analysis.

📌 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐋𝐞𝐚𝐫𝐧
🧪 DNA extraction, PCR amplification & sample preparation
🧬 Sanger sequencing workflow & chromatogram generation
💻 Trace quality assessment & consensus sequence assembly
🔍 Microbial identification using NCBI BLAST
🌳 Multiple sequence alignment & phylogenetic analysis
📊 Biological interpretation of sequencing results

🎓 𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐭𝐭𝐞𝐧𝐝?

Undergraduate (final year), postgraduate & PhD students, researchers, faculty members, laboratory professionals, and life science enthusiasts looking to gain practical experience in microbial identification and Sanger sequencing.

📅 𝐃𝐚𝐭𝐞𝐬: September 7–10, 2026
📍 𝐅𝐨𝐫𝐦𝐚𝐭: Wet-Lab (Ahmedabad) + Online Dry-Lab | Dry-Lab Only Option Available

🔗 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒉𝒆𝒓𝒆: https://forms.gle/isPxrbmqbVqCqUsz6

🚀 Limited seats available for the Wet-Lab component. Register early to avail the Early Bird discount!

08/30/2026

🚨𝟒-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐒𝐢𝐧𝐠𝐥𝐞-𝐂𝐞𝐥𝐥 𝐑𝐍𝐀-𝐒𝐞𝐪 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬! 🧬💻

Step beyond basic clustering and uncover the dynamic life of cells. This intensive workshop focuses on trajectory inference, pseudotime analysis, and cell–cell communication, helping you decode how cells transition, differentiate, and signal within complex biological systems. 📊

Over four days, you’ll work hands-on with real datasets and R-based workflows including Seurat, Monocle3, and CellChat, building a complete scRNA-seq analysis pipeline from preprocessing to integrated biological interpretation.

✨ By the end, you’ll confidently execute Monocle3 and CellChat workflows, interpret lineage structures, identify trajectory-associated genes, and generate publication-ready visualizations.

📅 𝐃𝐚𝐭𝐞: September 21 - September 24, 2026
🕒 𝐓𝐢𝐦𝐞: 7:00 PM IST | 8:30 AM CDT
🎓 𝐅𝐨𝐫𝐦𝐚𝐭: Live + Hands-on Demonstrations

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://forms.gle/saBFdCSN5r3ACqDi8

08/30/2026

Every successful drug begins with the right balance ⚖️

From solubility and permeability to toxicity and drug-likeness, these core properties shape how a compound behaves inside the body and determine whether it can become a safe and effective therapeutic candidate. 🧬💊

Understanding these fundamentals is key to modern drug discovery, where molecular science, machine learning, and AI are increasingly working together to accelerate research and improve decision-making. 🚀

✨📊 Explore these concepts in greater depth through our 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐏𝐫𝐞𝐝𝐢𝐜𝐭 𝐁𝐞𝐟𝐨𝐫𝐞 𝐘𝐨𝐮 𝐒𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐳𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐏𝐫𝐨𝐩𝐞𝐫𝐭𝐢𝐞𝐬 & 𝐀𝐃𝐌𝐄𝐓

Learn how 𝐀𝐈 𝐚𝐧𝐝 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 are used in modern drug discovery through a beginner-friendly, mentor-guided workshop. 🔬💊

🧪 𝐘𝐨𝐮’𝐥𝐥 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡:
• 𝐑𝐃𝐊𝐢𝐭 & 𝐃𝐞𝐞𝐩𝐂𝐡𝐞𝐦 for molecular analysis
• AI-powered 𝐩𝐫𝐨𝐩𝐞𝐫𝐭𝐲 & 𝐀𝐃𝐌𝐄𝐓 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧
• 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐬𝐢𝐦𝐢𝐥𝐚𝐫𝐢𝐭𝐲 and no-code tools
• Prediction 𝐬𝐜𝐨𝐫𝐞𝐬, 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 & 𝐥𝐢𝐦𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬

📅 𝐒𝐞𝐩 𝟐𝟖 – 𝟑𝟎, 𝟐𝟎𝟐𝟔
🕒 𝟗:𝟑𝟎 𝐏𝐌 𝐈𝐒𝐓 | 𝟏𝟏:𝟎𝟎 𝐀𝐌 𝐂𝐃𝐓
👥 𝐅𝐨𝐫: Students, researchers & life science professionals

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫: https://forms.gle/bntZVsbD7mS5cPn89

📌 Part of the 𝐀𝐈 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐏𝐫𝐚𝐜𝐭𝐢𝐭𝐢𝐨𝐧𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦. Join this workshop individually or enroll in the complete series.

08/30/2026

Variant calling produces VCF files, but downstream cancer genomics analyses often require a different format: MAF (Mutation Annotation Format).

Converting VCF to MAF helps organize and standardize somatic variant data for downstream analysis, including mutation profiling, variant annotation, and visualization of genomic alterations.

Understanding this conversion is an important step in moving from raw variant calls to interpretable cancer genomics insights. 🔬

Want to learn how to process and analyze cancer genomics data?🧬🧪 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐎𝐩𝐞𝐧: 𝟕-𝐃𝐚𝐲 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐂𝐚𝐧𝐜𝐞𝐫 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 & 𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬 𝐁𝐨𝐨𝐭𝐜𝐚𝐦𝐩

Join 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 × 𝐈𝐂𝐒𝐑 for a hands-on hybrid training program connecting cancer biology, molecular experiments & cancer genomics.

🔬 𝐋𝐞𝐚𝐫𝐧: Cancer cell culture, drug-response assays, DNA/RNA workflows, PCR & qPCR
💻 𝐄𝐱𝐩𝐥𝐨𝐫𝐞: Cancer genomics databases, variant annotation, MAF analysis & mutation profiling
📊 𝐀𝐩𝐩𝐥𝐲: Integrate experimental and genomic data through a hands-on capstone analysis

📅 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 𝟐𝟔 – 𝐍𝐨𝐯𝐞𝐦𝐛𝐞𝐫 𝟑, 𝟐𝟎𝟐𝟔
📍 𝐃𝐚𝐲𝐬 𝟏–𝟑: On-site at ICSR, Indore | 𝐃𝐚𝐲𝐬 𝟒–𝟕: Online
🎓 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫–𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 | 𝟑𝟎-𝐃𝐚𝐲 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐮𝐩𝐩𝐨𝐫𝐭
🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫: https://forms.gle/yJGCv5nV4akLiaUJ8

🎯 𝐁𝐮𝐢𝐥𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐬𝐤𝐢𝐥𝐥𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐰𝐞𝐭-𝐥𝐚𝐛 & 𝐝𝐫𝐲-𝐥𝐚𝐛 𝐜𝐚𝐧𝐜𝐞𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡.

08/30/2026

✨ 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐒𝐡𝐨𝐭𝐠𝐮𝐧 𝐌𝐞𝐭𝐚𝐠𝐞𝐧𝐨𝐦𝐢𝐜𝐬 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

This end-to-end, mentor-guided workshop is designed to help you confidently analyze shotgun metagenomics data, transforming raw sequencing reads into actionable taxonomic and functional insights using industry-standard, read-based workflows applied to real biological datasets.

𝐖𝐡𝐚𝐭 𝐲𝐨𝐮’𝐥𝐥 𝐰𝐨𝐫𝐤 𝐨𝐧:

🧬Understand the core concepts of shotgun metagenomics and how it differs from 16S profiling
🔄 Execute a complete read-based pipeline: QC, host removal, taxonomy & functional profiling
🧪 Hands-on taxonomic analysis using KneadData, Kraken2 & Bracken
🧠 Functional pathway analysis with HUMAnN and biological interpretation
📊 Multi-sample normalization, visualization & reporting best practices

🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://forms.gle/ccZdcnEBYUZTgevBA

🎯 Ideal for students, researchers, clinicians & professionals entering microbiome and metagenomics research

08/30/2026

🧬 Global vs Targeted Metabolomics in Clinical Research

Metabolomics can help capture the biochemical changes associated with disease, treatment, and patient response. Two complementary approaches are widely used: global (untargeted) and targeted metabolomics.

🔬 Global metabolomics profiles a broad range of metabolites, helping researchers discover previously unknown metabolic patterns and potential biomarkers.

🎯 Targeted metabolomics focuses on a defined set of metabolites, enabling more precise and quantitative measurement of biologically relevant compounds.

Together, these approaches support biomarker discovery, disease characterization, treatment monitoring, and a better understanding of individual metabolic variation, making them valuable tools in clinical metabolomics.

Want to learn how metabolomics data can be translated into meaningful clinical insights?

Bridge the gap between 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 with a 1-month online certificate program in 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐭𝐞𝐨𝐦𝐢𝐜𝐬 & 𝐌𝐞𝐭𝐚𝐛𝐨𝐥𝐨𝐦𝐢𝐜𝐬. Get hands-on experience with computational tools, machine learning, quantitative workflows, and real-world biological datasets.

𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐋𝐞𝐚𝐫𝐧 & 𝐁𝐮𝐢𝐥𝐝
💠 Proteomics & Metabolomics Analysis: Process, normalize, and analyze complex omics datasets.
💠 Machine Learning for Biomarkers: Apply PCA, PLS-DA, and Random Forest for biomarker discovery.
💠 Targeted Quantitative Assays: Learn Skyline, transition selection, and SRM/MRM & PRM workflows.
💠 Multi-Omics Integration: Explore biological pathways using KEGG, Reactome, and Cytoscape.
💠 Clinical Translation: Understand biomarker validation, LOD/LOQ, calibration, and diagnostic considerations.

🔗 𝐂𝐥𝐚𝐢𝐦 𝐘𝐨𝐮𝐫 𝐒𝐩𝐨𝐭: https://forms.gle/BhNkbw1wp1CqJbr26

📌 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐄𝐧𝐫𝐨𝐥𝐥𝐦𝐞𝐧𝐭: Join individual workshops or the full certificate program | 𝐆𝐫𝐨𝐮𝐩 & 𝐓𝐞𝐚𝐦 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐬 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞!

OmicsLogic Inc

08/30/2026

08/30/2026

08/30/2026

08/30/2026

08/30/2026

08/30/2026

08/30/2026

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08/30/2026

08/30/2026

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