STAT115
Comprehensive lecture series on statistical methods for analyzing genomic data, covering microarrays, RNA-seq, epigenetics, cancer genomics, and more. Focuses on practical applications in bioinformatics and computational biology.
High Throughput Sequencing
Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.
Introduction to Genomics
Comprehensive exploration of genomics, covering DNA sequencing, genome assembly, gene editing, epigenomics, RNA-seq, chromatin organization, interaction networks, and genetic variation analysis.
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.
Elucidata's Bulk RNA-Seq OmixAtlas - Effortless Dataset Discovery and Retrieval
Explore Elucidata's Polly platform for effortless RNA-Seq dataset discovery, featuring intuitive search, metadata exploration, visual analysis, and easy downloads. Overcome common challenges in accessing public genomic data.
Setup RNA-Seq Pipeline From Scratch - Fastq to Counts - Step-by-Step Tutorial
Step-by-step tutorial on processing RNA-Seq data: quality control, trimming, alignment, and quantification. Covers tools like FastQC, Trimmomatic, HISAT2, and featureCounts, with comparisons of aligners and best practices.
Leveraging Innovation to Improve the Identification of Patients with Hereditary Cancer
Explore innovative techniques in hereditary cancer detection, including RNA genetic testing and AI-powered risk assessment, to improve diagnostic yield and patient identification for genetic counseling.
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.
Predicting Single-Cell Perturbation Responses for Unseen Drugs
Explore single-cell perturbation response prediction for novel drugs using an encoder-decoder architecture and transfer learning, enhancing drug discovery efficiency through in-silico hypothesis generation.
Accelerating Research with Fast, Flexible, and Cost-Efficient Next-Generation Sequencing on the G4 Platform
Explore fast, flexible, and cost-efficient next-generation sequencing on the G4 platform. Learn about core NGS applications and their data from an expert in computational biology and immunology.
OnlineFDR Control with Applications to RNA-Seq Data
Explore onlineFDR control techniques for RNA-Seq data analysis, focusing on adaptive algorithms and their applications in multiple hypothesis testing scenarios.
Selecting Between-sample ChIP-Seq Normalization Methods - Assumptions and Implications
Explore ChIP-seq normalization methods, their assumptions, and impact on differential binding analysis. Learn to select appropriate techniques for accurate genomic data interpretation.