Gene editing has delivered remarkable results against sickle cell disease. Now researchers are working to make these ...
A handful of start-up firms are testing therapies that target specific epigenetic markers to treat everything from high ...
CIA (Cluster Independent Annotation) is a cutting-edge computational tool designed to accurately classify cells in scRNA-seq datasets using gene signatures. This tool operates without the need for a ...
I'm a computational biologist with over 6 years of experience in molecular dynamics simulations and protein analysis. Today, I'm excited to introduce Curieus, a project I've been developing. Repeated ...
The renewed Single Cell and Spatial Omics Course provides an introduction to scRNA-seq and spatial omics principles and data analysis, covered by both lectures and hands-on sessions. Course overview ...
Ischemic stroke results in significant morbidity and mortality. By examining gene expression of cells comprising stroke clots, we aim to gain valuable insights into the underlying mechanisms of this ...
Monocytes are a critical innate immune system cell type that serves homeostatic and immunoregulatory functions. They have been identified historically by the cell surface expression of CD14 and CD16.
Eight years ago, 10x Genomics launched the first commercially available single-cell RNA sequencing (scRNA-seq) product for the company’s flagship instrument, the 10x Chromium. (This occurred one year ...
High dimensionality and noise have limited the new biological insights that can be discovered in scRNA-seq data. While dimensionality reduction tools have been developed to extract biological signals ...
Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...
Applicants may request services from one or multiple cores. No award will be issued for more than $7,000. Requests for the Nevada Bioinformatics Center up to $7,000 will be considered; for all others, ...
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