Computational biology

How to Start Your First Bioinformatics Project | Choose a Novel Research Topic

EP 260: How AI is reshaping genomics, disease prediction, and biosecurity with Jeffrey Barrett

Linux head & grep Commands for Bioinformatics | View Top lines and Find text Pattern | Lecture 6

[ИАД, осень 2026] Биоинформатика. Лекция 5

[IAD, fall 2026] Bioinformatics. Lecture 5

Understanding Bioinformatics Environments & Packages for Genome wide analysis | Lecture_4

Voici ce que l'IA vient de trouver dans l'ADN

Here is what AI just found in DNA

[ИАД, осень 2026] Биоинформатика. Лекция 3

[IAD, fall 2026] Bioinformatics. Lecture 3

Learn Bioinformatics with Ubuntu Linux | R, Python, Genome-Wide & Evolutionary Analysis

[ИАД, осень 2026] Биоинформатика. Лекция 2

[IAD, fall 2026] Bioinformatics. Lecture 2

RNA Seq Differential Expression | From DEGs to Manuscript interpretation (Part 2)

RNA-Seq Analysis for Beginners | From Raw Data to Manuscript Writing (Part 1)

How to Read & Interpret Microbiome Results | From Data Files to Publication

Olga Troyanskaya, Professor at Lewis-Sigler Institute for Integrative Genomics, Princeton University

Information Flow and Computation in Living Systems (3) - Thomas Lecuit (2025-2026)

BioML Seminar 4.5 - Antoine Koehl on Deep Models of Protein Evolution in Time

BioML Seminar 4.4 - Shreshth Gandhi on Scaling Perturbation-Trained Single-Cell Foundation Models

AI x BIO 2026 | Keynote lecture by Pushmeet Kohli, Google DeepMind, UK

Build-a-Cell seminar Anton Molina: Nucleus: building a synthetic cell knowledge base

BiologIA: retos, oportunidades y el futuro de la IA en biociencias

BiologyAI: challenges, opportunities and the future of AI in biosciences

Statistical fine-mapping part 1

The munge function

Running usermodel

Polygenic Prediction: Part 6 SBayesRC: Polygenic prediction incorporating functional annotations

Colocolization theory

AI+Science: AI for Life

EP 238: Uncovering epistatic interactions in complex disease with machine learning with Bin Yu of...

EP 238: Uncovering epistatic interactions in complex disease with machine learning with Bin Yu

Scaling Spatial Transcriptomics with ATLAS: High-Throughput Tissue Mapping

RNA Seq Data Analysis: From Theory to Practice

🎬 Replay – Public Health Research Club #4 : Génomique, imagerie et IA

🎬 Replay – Public Health Research Club #4: Genomics, imaging and AI

Lior Pachter: The Systems Biology of a Single Cell (April 3, 2026)

Roland Dunbrack | Structural bioinformatics and protein structure prediction at multiple scales

Ellen Zhong: Algorithms for Biomolecular Structures at Proteome Scale (March 25, 2026)

Métodos de integración de datos multiómicos

Multi-omics data integration methods

Papel de la Bioinformática en la vigilancia genómica de enfermedadesinfecciosas.

The Role of Bioinformatics in Genomic Surveillance of Infectious Diseases

Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA

Protein Structure and Function: Prediction and Design (2026/2/3)

Invited Session 3: Cancer genome bioinformatics in a clinical setting

Mor Nitzan: Learning Diffeomorphisms for Dynamical Prototype Matching in Biological Data

Multiscale modelling for personalised medicine