AI & Machine Learning for Omics Data Analysis, Cancer Genomics, Metagenomics & RNA-Seq: Expand Your Bioinformatics Expertise with Upcoming Trainings
OmicsLogic Newsletter
📚 The final month of the year brings a new set of skill-building opportunities across AI, machine learning, NGS, cancer genomics, microbiome analysis, and more. December is packed with high-impact training programs and research pathways designed to help you enhance your proficiency and stay ahead in the rapidly evolving world of omics and data science! 👇
🧑💻International Winter Online Coding Program
As part of our ongoing training initiatives, the international winter program “Artificial Intelligence & Machine Learning for Omics Data Analysis 2.0” is being conducted under the guidance of Professor Graham Ball, a leading figure in applying AI and machine learning to biological sciences. This two-month online program includes six live, mentor-guided, hands-on classes designed to demonstrate the practical use of AI and ML in biological and medical research.
Drawing on more than three decades of experience in developing ML methodologies, supervising postgraduate researchers, and advancing biomarker and systems biology projects, Professor Graham offers participants a deeply practice-oriented learning experience for working with complex omics datasets.
📅 Jan 17 - Feb 21, 2025 ⏰ 7:30 PM IST | 3:00 PM BST | 8:00 AM CST
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/cuT2TXwJdkXp6iEW8
🎓 New Trainings Are Live—Time to Level Up Your Skills
We’ll cover key topics including:
Basics of Next-Generation Sequencing (NGS) for Metagenomics
Experimental Design & Sample Collection For Metagenomic Studies
Library Preparation (16S rRNA and Shotgun) & Sequencing Workflow
Introduction and overview of 16S rRNA Data Analysis Pipeline
FASTQ Processing Till Microbiome Identification and Classification
Alpha Diversity [Shannon/Simpson/Fisher/Chao1]; PCoA, Beta Diversity
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/4zUQCFojSF5pro4Y8
We’ll cover key topics including:
Extracting Data from Repositories (NCBI, GEO, and SRA)
Data Preparation, Normalization, and Dimensionality Reduction
Differential Expression Analysis and Pathway Enrichment
Enrichment Analysis using Reactome and KEGG, Interpreting Pathways.
Protein-Protein Interaction (PPI) Networks and Hub Gene Analysis
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/euEJWWQH6ViJr4C39
We’ll cover key topics including:
Introduction to R coding for omics data analysis (R, RStudio, Google Colab)
Data import and preprocessing techniques (Base R, tidyverse)
Creating and customizing visualizations (ggplot2)
Performing statistical tests like t-tests and ANOVA
Bioconductor packages for gene expression analysis (limma, DESeq2)
Conducting pathway and enrichment analysis (clusterProfiler)
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/rChqPBt23aV438D17
⏰ Last Chance to Enroll – Registration Closes Soon!
4-Day Online Workshop on RNA-Seq Data Analysis for Plant Biotechnology using R Programming: Learn experimental design, data preprocessing, expression quantification, differential expression analysis, and biological interpretation using R programming. 🔗 Register to receive more information and assistance from our team: https://forms.gle/kQFscQxvGRX3t4iQA
4-Day Online Hands-On Workshop on Cancer Genomics (Mutational Analysis; Variant Annotation, & Clinical Data Interpretation): Learn variant analysis (IGV, ANNOVAR, VEP) & clinical annotation (MAFtools, oncoplots, mutation burden analysis), and apply your skills on real cancer data. 🔗 Register to receive more information and assistance from our team: https://forms.gle/PTtZjdRy19TQuN8Y8
2-Day Online Workshop on Clinical Microbiome Analysis: From Raw Sequences to Biological Insights: Gain practical experience in 16S rRNA data analysis, explore alpha/beta diversity, and connect microbial profiles to clinical outcomes. 🔗 Register to receive more information and assistance from our team: https://forms.gle/NYF5bEe5M6r34Dku9
4-Day Hands-On Online Workshop: Pan-Genome Analysis (Bacterial Whole Genome Sequencing, Antimicrobial Resistance, Clinical Diagnostics): Learn the complete workflow from bacterial Whole Genome Sequencing (WGS) to pan-genome construction and interpretation. 🔗 Register to receive more information and assistance from our team: https://forms.gle/JcJBNpX4rPVau8BZ9
🤝 Industry–Academia Skill Development Initiative
🎉 Celebrating the successful completion of 2-Day Hands-on Onsite Coding Workshop: R-Biostatistics for Geneticists & Biotechnologists (Nov 18 - Nov 19, 2025) at the International Centre for Genetic Engineering and Biotechnology (ICGEB), Delhi.
This intensive workshop, designed for researchers and scientists, brought together an exceptional cohort of participants from diverse Ph.D. backgrounds, including Structural Parasitology, Molecular Medicine, Human Health, Industrial Biotechnology, Plant Sciences, Plant Biotechnology, and Molecular Biology.
Throughout the two days, participants gained hands-on experience with R programming, descriptive and inferential statistics, data visualization using ggplot2, transcriptomics data handling, and essential bioinformatics workflows using Bioconductor tools.
Participants reported a rating of 4.8/5 for overall quality and 4.6/5 for the practical coding sessions. With 100% of attendees expressing interest in future training, the workshop highlighted the increasing demand for coding and bioinformatics expertise in life science research.
🏆 Student Research Project Spotlight
Huge congratulations to Mahalakshmi on successfully completing her research project as a part of OmicsLogic Biomedical Data Science Research Program!
In her project, “Genomic Characterization of Somatic Variants in Epithelial Ovarian Cancer (EOC)”, Mahalakshmi explored genetic changes found in patients with advanced ovarian cancer. Her analysis identified several important genes that are frequently altered in this disease—such as TP53, DNMT3A, and FLT3—and highlighted how these genetic changes can impact key biological pathways involved in cancer development.
Excited to embark on a research journey like her?
The OmicsLogic Bioinformatics & Data Science Research Program offers young researchers and students an opportunity to explore and analyze omics datasets using cutting-edge bioinformatics tools and resources. Through a blend of structured online learning and personalized mentor guidance, participants gain the skills and support needed to design, execute, and complete a full bioinformatics research project in a domain of their interest.
🔗 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.