
Explore high-throughput diagnostics and sequencing for COVID-19 control, including testing methods, sample tracking, and variant monitoring at the Pandemic Response Lab NYC.

Explore semantic alignment challenges in therapeutics knowledge and learn how TheraPy can help overcome them in cancer genomics research.

Explore breast cancer genome heterogeneity, focusing on risk assessment and prevention strategies beyond therapy. Gain insights from expert Olufunmilayo Olopade at the CGC 2023 Annual Meeting.

Explore non-invasive cancer monitoring through liquid biopsy, focusing on Blocker Displacement Amplification technology for improved detection and longitudinal tracking of cancer biomarkers.

Interdisciplinary symposium exploring complexities of sex, gender, and genomics. Experts discuss scientific, ethical, and historical contexts to aid understanding for scientists, policymakers, and the public.

Interdisciplinary panel explores historical perspectives on sex categorization in biology and law, examining complexities and contradictions in scientific and legal definitions of sex.

Explore pathogen evolution, host adaptation, and environmental factors shaping disease dynamics. Gain insights into emerging infectious diseases and their ecological impacts.

Explore tree-free phylodynamic methods for analyzing emerging viral pathogens and lineages, focusing on innovative approaches to study viral evolution and spread.

Explore the evolutionary journey of SARS-CoV-2 with expert insights from Prof. Jesse D. Bloom, delving into its mutations, adaptations, and implications for public health.

Dive into the groundbreaking world of DNA data storage through Pantheon CODEC, exploring synthesis technologies, error correction methods, and practical implementation challenges in cold-data storage systems.

Detailed tutorial on filtering and annotating genetic variants using GATK tools. Covers hard filtering, genotype refinement, and Funcotator for comprehensive variant analysis in bioinformatics workflows.

Comprehensive tutorial on pseudo-bulk analysis for single-cell RNA-Seq data, covering the what, why, and how. Includes data manipulation, aggregation, and differential expression analysis using R, Seurat, and DESeq2.

Comprehensive tutorial on identifying cell markers in single-cell RNA-Seq data using Seurat, covering various marker identification methods, data visualization, and cluster annotation techniques.

Comprehensive guide to DESeq2 for differential gene expression analysis in RNA-seq data, covering statistical models, normalization methods, and key steps in the analysis pipeline.

Comprehensive tutorial on analyzing single-cell RNA-Seq data using Seurat in R, covering data processing, quality control, normalization, dimensionality reduction, and clustering for genomics research.

Explore edgeR and DESeq2's approaches to filtering low-count genes in RNA-seq analysis. Learn about false positives, FDR, CPM, and sequencing depth impacts on gene expression studies.

Demystifying bioinformatics concepts in genetic testing reports, focusing on key terminology and underlying details for NGS panel and exome-sequencing tests to enhance clinicians' understanding and interpretation.

Explore rigidity theory's application to Gaussian graphical models, focusing on maximum likelihood thresholds and their implications for data analysis in genomics and other fields.

Hands-on demonstration of NGS analysis using Galaxy server, covering step-by-step procedures and providing practical insights for bioinformatics researchers.

Explore low rank tensor methods for analyzing high-dimensional data in various fields. Learn about recent progress, challenges, and applications in extracting information from multilinear arrays.

Discover how big data and outsourced research are revolutionizing scientific inquiry, challenging traditional methods, and unlocking new possibilities in genomics and medicine.