
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.

Explore gene regulatory network rewiring patterns through innovative experimental methods and computational approaches for characterizing effects of perturbations at single-cell level.

Explore single-cell genomics techniques for identifying biomarkers in cancer research. Learn about transcriptomics, epigenomics, and their applications in understanding biological processes and tumor development.

Explore best practices for single cell and spatial transcriptomics, uncovering complex biological systems with high-resolution approaches. Gain insights from an expert in genomics and earn PACE credits.

Explore promoter and isoform diversity in cancer transcriptomes using long-read RNA sequencing. Gain insights into alternative promoters' role in gene regulation and their impact on cancer research.

Explore single-cell gene expression analysis for revealing complex cell populations, uncovering regulatory relationships, and visualizing gene expression differences across cell types.

Explore a new method for estimating genetic variant effects on transcription factor regulatory events, integrating diverse omics data to build interpretable regulatory networks for disease insights.

Explore high-resolution DNA analysis for clonal hematopoiesis. Learn about mutational hierarchy, precision medicine, and clinical applications in cancer and bone marrow failure.

Explore nucleosome clustering in euchromatin through modeling interactions between reader proteins. Gain insights into chromosomal organization and dynamics from the Spakowitz lab's research.

Explore immunoprecipitation optimization using magnetic bead technology. Learn about protein significance, IP techniques, and benefits of Dynabeads for enriching target proteins in biological research.

Explore hierarchical models for deep mutational scans, focusing on robust analysis frameworks, drug transporter biophysics, and variant effect prediction in genomics research.

Explore time-dependent modeling using sicegar for analyzing RpoS-dependent gene transcription timing in E. coli, with applications to multiple stress responses.

Explore challenges in deconvolution using single-cell profiles, examining key issues and potential solutions in computational genomics.

Explore YACHT, an ANI-based statistical test for detecting microbial presence in metagenomes. Learn about its applications and implications for microbiome research.

Explore transcriptomic deconvolution techniques for cancer research, focusing on tumor cell mRNA expression estimation and improved analysis of cell-type ratios in complex tissue samples.

Explore StocSum, a novel framework for analyzing summary statistics in diverse populations without reference panels. Learn its applications in genomics research and meta-analysis.

Explore techniques for detecting genetic variations in highly homologous genes using short read sequencing, focusing on challenges and innovative approaches in computational genomics.

Explore hardware-algorithm co-design and processing-in-memory technologies for accelerating bioinformatics workloads, focusing on genomic sequence analysis and mapping techniques.

Explore coarse-grained simulations of nucleosomes to understand chromatin organization and gene regulation through interdisciplinary computational modeling techniques.

Explore the ethical implications of curative vs. assistive technologies in disability studies, focusing on brain-computer interfaces and their impact on well-being and identity.

Explore the ethical implications of closed-loop Deep Brain Stimulation systems on user agency and trust in neurotechnology. Gain insights into the future of adaptive neurostimulation and its moral outcomes.