Transcriptomics
Comprehensive guide to RNA-Seq analysis, covering data processing, visualization techniques like volcano plots and heatmaps, and practical applications using R and Galaxy.
Functional Genomics
Explore genomics, epigenetics, and DNA sequencing methods. Learn about genome editing, transcriptomics, and comparative genomics. Gain hands-on experience through tutorials and laboratory sessions.
Beyond Cells: The Importance of Gene Programs and Tissue Context
Explore gene programs and tissue context beyond individual cells, uncovering novel insights into pressing biomedical questions through advanced machine learning techniques.
A Practical Guide to Bulk RNA-seq, Including Guidelines for eQTL Analysis - 2024
Explore practical bulk RNA-seq techniques and eQTL analysis guidelines in this comprehensive guide for medical and population genetics researchers.
Contrastive Models for Case-Control Changes in Sequencing - Models, Inference and Algorithms
Explore contrastive latent variable models for analyzing differential expression in sequencing data, enhancing case-control comparisons in transcriptomics with novel approaches to capture condition-specific variations.
Individual-level Tissue-Specific Imputed Transcriptomes in Drug Target Prioritization and Disease Risk Prediction
Explore tissue-specific transcriptomes for drug target prioritization and disease risk prediction. Learn about TWAS, co-localization, polygenic risk scores, and phenome-wide scans in genetics research.
Copy Number Alterations in Slide-seq Data - MPG Primer 2023
Explore spatial copy number alteration detection in Slide-seq-like spatial transcriptomics data. Learn basic genetics principles related to human populations and disease.
Spatial and Single Cell Diversity of Cells and Humans
Explore spatial and single-cell diversity in humans, examining how our surroundings influence cellular and individual variations through cutting-edge genomic research.
Foundation Application to Link Spatial Transcriptomics to Clinical Images - Research Day
Explore a foundation application linking spatial transcriptomics to clinical images in cardiovascular research, enhancing understanding of molecular mechanisms in heart disease.
Regulators of Fibroblast Fate and Fibrosis in Cardiac Response to Myocardial Infarction
Uncover the role of fibroblasts in cardiac response to myocardial infarction and explore how transcriptome modifications impact heart recovery and fibrosis in acute and chronic stress.
Foundation Models in Drug Discovery - Ray Summit 2024
Explore how foundation models are revolutionizing drug discovery across multiple biological domains. Gain insights into Recursion's large-scale approach using GPUs, robotics, and petabytes of data to transform pharmaceutical innovation.
Categorization of 31 Computational Methods to Detect Spatially Variable Genes from Spatially Resolved Transcriptomics Data
Explore 31 computational methods for detecting spatially variable genes in transcriptomics data, categorized for effective analysis and application in genomics research.
Learn About Bgee - Gene Expression Tool
Explore Bgee, a database for comparing gene expression across animal species. Learn data integration, tools, and applications in cancer, agriculture, and evolutionary biology.
The Use of Biomarkers in Social Science Research
Explore biomarkers in social science research, covering topics from height and weight to omics data and epigenetics, and their impact on disease risk and social interactions.
Comparative Genomics Course Lectures
Explore genomics from evolution to human health, covering prokaryotes, eukaryotes, transcriptomics, epigenetics, and more. Gain insights into cutting-edge biological research and applications.
Neuropathology of SARS-CoV-2 as Revealed by Spatial Biology
Explore SARS-CoV-2's neuropathology through spatial biology. Discover infected brain barrier cells, interferon-gamma signaling in hiPSC-derived BCECs, and gene expression analysis using spatial transcriptomics in FFPE tissue sections.
AI and Machine Learning in Single Cell Genomics - Day 2
Explore cutting-edge single-cell genomics research, featuring expert talks on spatial transcriptomics, multi-omics, and bioinformatics from leading institutions in Atlanta and across America.
AWSOM24 Conference - AI and Machine Learning in Single Cell Genomics
Explore cutting-edge single-cell genomics research with expert talks on bioinformatics, experimental applications, and translational studies in this comprehensive workshop from leading institutions.
Single Cell Analysis in Computational Biology - Lecture 3
Comprehensive exploration of single-cell RNA sequencing, covering technologies, applications, and analysis techniques. Discusses advantages over bulk sequencing and addresses key biological questions in the field.
Attain Successful Single-Cell Sequencing Results with Latest Cell and Nuclei Isolation Workflows
Explore cutting-edge single-cell sequencing techniques and workflows for successful whole transcriptome profiling. Learn from experts about revolutionary technologies enabling parallel analysis of thousands of cells.
A Spatially-Resolved Transcriptional Atlas of the Murine Dorsal Pontine Tegmentum
Explore a groundbreaking transcriptional atlas of the murine dorsal pontine tegmentum using snRNA-seq and MERFISH, with interactive visualization for real-time data analysis and insights.