Latest in AI, Multi-Omics & Variant Analysis + Hands-On Training to Elevate Your Skills
OmicsLogic - Biology as Data Science
Simplifying the logic of data-driven biology
?? From mapping 82% of human genes to AI tools predicting pathogenic mutations, February has been a month of game-changing discoveries in biomedical science.? This newsletter brings you the biggest developments, ?? hands-on training opportunities ??, and a chance to join a growing community of researchers leveraging AI and omics data.?
I. Latest in Biomedical Data Science & AI
Trained on nearly 9 trillion genetic sequences from 128,000 organisms, Nvidia’s AI model Evo 2 can rapidly identify patterns in vast datasets. In early tests, it accurately detected 90% of harmful BRCA1 mutations, paving the way for more precise gene therapies. Read more.
Google’s AI tool identified how superbugs acquire antibiotic resistance in just two days, replicating and expanding on a decade of unpublished research. Scientists say this could transform microbiology and accelerate drug discovery. Read more.
The Chan Zuckerberg Initiative's Billion Cells Project aims to generate a massive single-cell dataset to accelerate AI-driven discoveries in biology. Partnering with industry leaders, this initiative will enhance genomic research, functional genomics, and precision medicine. Read more.
The Gene Ontology Consortium has created a comprehensive representation of human gene functions by integrating experimental findings from over 175,000 publications, covering approximately 82% of human protein-coding genes. Read more.
The UCSC Genome Browser has integrated AI-powered datasets AlphaMissense and VarChat to help researchers and clinicians analyze genetic variants. These tools use deep learning and large language models to predict pathogenic mutations and summarize scientific literature on genomic variations. Read more.
This international summer coding program, led by Professor Graham Ball, a pioneer with 32 years of experience in AI and machine learning for biological research, offers a deep dive into AI/ML applications in biomedical and omics data analysis.?
With a track record of developing cutting-edge ML approaches, supervising numerous PhD and master’s students, and leading biomarker discovery and systems biology projects, Professor Ball brings unparalleled expertise. Participants will learn directly from his extensive experience, gaining practical insights into applying ML techniques to complex biological datasets.
?? April 19 - May 24, 2025
? 7:30 PM IST | 9:00 AM CST
Download the brochure to explore how this program can shape your learning journey.
II. Upcoming Online Workshops: Enhance Your Skills with Hands-On Training
We’ve got an exciting line-up of hands-on online workshops coming your way, designed to boost your expertise. Whether you’re a beginner or looking to deepen your skills, these workshops offer practical, immersive learning experiences:
This online workshop covers cancer biology, genetic mutations, and NGS-based genomics, exploring hallmarks of cancer, key pathways, and genomic alterations. It includes hands-on sessions using COSMIC, TCGA, cBioPortal, and tools for variant analysis and clinical annotation. Participants will work on a mini-project using real-world cancer datasets. Register here
?? Date: March 10 - March 13, 2025 | ?? Time: 7:00 PM IST | 8:30 AM CST
This online workshop provides an introduction to LC-MS/MS-based Metabolomics, covering experimental concepts, biomarker discovery, and validation studies. Participants will explore cutting-edge technologies, recent innovations, and machine learning applications for analyzing biological pathways and interactions in metabolomics research. Register here
?? Date: March 17 - March 20, 2025 | ?? Time: 7:00 PM IST | 8:30 AM CST
Join this online hands-on workshop to master RNA-Seq data analysis for drought resistance in potato using R programming. Learn experimental design, data preprocessing, expression quantification, and differential expression analysis. Gain practical experience with tools to explore gene expression patterns in plant biotechnology. Register here
?? Date: March 24 - March 27, 2025 | ?? Time: 7:00 PM IST | 8:30 AM CST
Congratulations to Thejes Nair on successfully completing her research project on “Transcriptomic Analysis of Mast Cell Gene Expression Reveals Potential Novel Biomarkers of Psoriasis.”?
Chronic inflammation is a key driver of autoimmune diseases like psoriasis, often leading to complications that make treatment challenging. This study analyzed RNA-Seq data from the mast cells (MCs) of psoriatic patients and healthy donors to identify differentially expressed genes and pathways associated with the condition.
Sensory perception and olfactory transduction pathways were significantly dysregulated in psoriasis samples. ?? Findings further support the role of olfactory receptor (OR) dysfunction in this chronic inflammatory disease.
?? Curious to learn more? Read the full project here.
Excited to embark on a research journey like Thejes??
Biomedical Data Science Research Program gives students the tools and expert guidance they need to complete impactful research projects in these exciting fields. Whether you're pursuing an internship or working on your dissertation, you'll have the support of experienced mentors every step of the way. Register here
For queries, contact us at [email protected] / [email protected].
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