Learn Computational Biology with AI-Driven Tools, Hands-On Training in R and Python, and Join New Research Tracks in Health Informatics
📅 This August, we’re excited to introduce a fresh lineup of hands-on workshops and a masterclass in biomedical data science and health informatics, designed to help you build practical skills with expert guidance. ⏳ If you’ve been thinking about joining, now is the time—several of our workshops will be closing registration soon.
We’re also celebrating the 🎉 successful completion of a recent research project by our student and inviting new participants to explore upcoming mentor-guided research opportunities that turn data into discovery.
🧠 New Skills, New You: Latest Training Launches
Check out our newly launched workshops designed to help you build practical skills and stay ahead in biomedical data science and health informatics. Explore the details below and start your learning journey today.
We’ll cover key topics including:
Explore and Download Cancer Genomics Data from cBioPortal
Import and Inspect Mutation Annotation Format (MAF) Files
Perform Basic Exploratory Data Analysis on Clinical Variables
Identify Potential Therapeutic Targets from Mutational Landscapes
Apply Clinical Filters (e.g., survival groups) to Compare Mutation Patterns
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/xGhsaEW137jjafRt7
We’ll cover key topics including:
Introduction to R and RStudio environment (Basic R Syntax & Data Types)
Variables, Functions, and Packages
Statistical Analysis for Biological Data (t-tests, ANOVA, chi-square)
Introduction to Machine Learning: Supervised vs. Unsupervised Learning
Data Preprocessing and Feature Selection for Biological Data
Cross-Validation Strategies for Robust Models
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/EJ9sadFCKsYAibUE9
We’ll cover key topics including:
Exploring Types of Biomedical Data (with Interactive Jupyter Notebooks)
Fundamentals of Machine Learning for Biomedicine (Hands-on Demonstrations)
LLM-Powered Biomedical Data Analysis Guide (Practical Walkthrough)
Interactive Live Q&A with The Experts
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/mLaaHcx9hB6FTwMB7
We’ll cover key topics including:
Introduction to NGS Technologies & Applications in Bacterial Genomics
De novo assembly vs. Reference-based Mapping Approaches
Assembly Tools (SPAdes, Velvet) | Reference Mapping with BWA and Bowtie2
Predicting Genes and Functional Elements | Rapid Annotation with Prokka
Annotate Assembled Genome & Explore Findings with Visualizations
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/YSgtMLRTjxp2NbgA7
We’ll cover key topics including:
Overview of Machine Learning Concepts and Definitions
Types: Supervised; Unsupervised; Semi-supervised; & Reinforcement learning
Python for Data Science (Hands-On Programming)
Building Predictive Models (End-to-End Implementation)
Hands-on Session: Capstone Project: Build Your First ML Models
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/dyR7r15uGW2QwMvn8
🕒 Final Call for Enrollment: Registrations Closing Soon!
Check out our upcoming training offerings below, for which registrations will be closing soon. This is your chance to learn from experts, gain practical skills, and join a vibrant community of learners before seats fill up.
Computational Biology & AI-Driven Bioinformatics Research (For High-School Students and Beginners). Participants will explore biological data analysis—from DNA structure and genome sequencing to advanced bioinformatics tools and AI applications such as AlphaFold and gene prediction. Learn more.
Next-Generation Sequencing & Metagenomic Data Analysis: From sample preparation and sequencing strategies to bioinformatics pipelines for taxonomic classification and functional analysis, this workshop offers a comprehensive learning experience. Learn more.
Metabolomic Data Analysis: Practical Applications and Advances in Biomedical Research: The workshop is designed to introduce participants to the field of LC-MS/MS based Metabolomics and acquainting you with cutting-edge technology and recent innovations in this era of omics and big data analytics. Learn more.
Cancer Genomics (Mutational Analysis; Variant Annotation, & Clinical Data Interpretation): Hands-on sessions focus on COSMIC, TCGA, cBioPortal, variant analysis (IGV, ANNOVAR, VEP), and clinical annotation (MAFtools, oncoplots, mutation burden analysis). Learn more.
We’ll cover key topics including:
Introduction to NGS and Omics Technologies
NGS Workflow and Sample Preparation Essentials
Library Preparation for DNA & RNA
Advanced Library Preparation Quality Control
Experimental Design Indexing and Pooling Strategies
Targeted Sequencing & Case Studies (Amplicon vs. Hybrid Capture Sequencing)
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/GhE4RcEB1kMgw19a9
🎓 Student Research Project Spotlight & New Opportunities:
Congratulations to Namitha Biju on successfully completing her research project on “Gene Expression in Non-Small Cell Lung Cancer (NSCLC): Subtypes, EGFR Signalling, and Resistance Mechanisms”
Non-small cell lung cancer is one of the main causes of cancer deaths and is difficult to treat because of its complex molecular nature. In this study, Namitha compared gene expression in normal and cancerous lung tissues using publicly available RNA-Seq data (GSE18842).
The project identified important pathways, gene patterns, and differences between adenocarcinoma and squamous cell carcinoma types of lung cancer, with special focus on the EGFR signaling pathway and resistance to treatment.
📌 Curious to learn more? Read the full project here.
Excited to embark on a research journey like Namitha?
We’re delighted to announce the launch of a new set of mentor-guided research project opportunities as part of the OmicsLogic Biomedical Data Science Research Program. The program gives students the tools and expert guidance they need to complete impactful research projects in these exciting fields.
Meet The Mentor: Dr. Jit Sarkar is a Computational Biologist with deep experience in translational science, algorithm development, and biomedical informatics. He will lead and guide selected participants through these research opportunities during the research program.
🔗 Register to receive more information and assistance from our team: https://forms.gle/M7sYiieowMdaz9ie7
For queries, contact us at communication@omicslogic.com / support@omicslogic.com.