Bioinformatics Training Programs

Democratizing Bioinformatics!

In today’s rapidly evolving bioinformatics landscape, effective learning necessitates the ability to leverage the latest tools and techniques to drive innovation, make data-driven decisions, and advance scientific discovery. CBIRT offers comprehensive programs designed to equip students, researchers, and professionals with the knowledge, tools, and strategies essential for excelling in the scientific world of bioinformatics.

Goal: To provide extensive training required to excel in the dynamic world of bioinformatics.

Eligibility: Students pursuing B.Sc., B.Tech., M.Sc., M.Tech., PhD in life sciences or computer science are encouraged to apply.

Summer Training/Internship

Training Courses

Eligibility: Students pursuing B.Sc., B.Tech., M.Sc., M.Tech., PhD in life sciences/computer science as well as Teaching and Industry Professionals.

Training Mode: Online

For Queries/More Details Contact: : info@cbirt.net

Participant Reviews

Must Read

DrugCLIP

DrugCLIP Enables High-Throughput Virtual Screening Across the Human Proteome

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Researchers at Tsinghua University have introduced DrugCLIP, a contrastive learning framework that enables ultrafast and accurate virtual screening at a genome-wide scale. Published in...
FoldMason

Beyond the Sequence: How FoldMason is Redefining Multiple Protein Structure Alignment at Scale

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The authors at Seoul National University developed FoldMason, a free, open-source, progressive Multiple Structural Alignment (MSTA) method published in Science that uses a structural...
BindEvaluator and moPPIt

De Novo Peptide Binder Generation: How moPPIt Targets ‘Undruggable’ Proteins

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Authors from the University of Pennsylvania and others innovated the motif-specific PPI targeting algorithm (moPPIt), a computational framework that integrates BindEvaluator along with Multi-Objective...
DNA-Diffusion

Generating DNA Sequences Using AI: DNA-Diffusion Promises Effective Gene Therapy

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The researchers at Broad Institute and Mass General Brigham in Nature Genetics propose DNA-Diffusion, the first ever generative diffusion framework trained on DNA accessibility...
Stanford's SleepFM AI Reads Disease Risk from a Single Night of Sleep

Stanford’s SleepFM AI Reads Disease Risk from a Single Night of Sleep

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Stanford Medicine and researchers in Denmark and Boston have built an AI foundation model, SleepFM, that can read a single night of lab‑recorded sleep...