Per management, the strong response to Atera and the breadth of studies being planned reinforce its potential to transform biological research. The company believes Atera can help researchers overcome biological complexity, accelerate disease understanding and support the development of better…
Often the goal of a RNA-seq type experiment is to find differentially expressed genes. Below I give guidelines for calling differential expression. Imagine you do RNA-seq on 6 samples that are all biological replicated of each other. When you analyze them,…
A new deconvolution framework called ESMF uses single-cell reference data, negative binomial noise modeling and dual-validated marker selection to estimate cell proportions from bulk RNA-seq.
Apr 07, 2026, 07:32 ET TriNetX® will continue to support all existing Zetta Genomics customers utilizing the award-winning XetaBase® technology for research and patient care innovation Zetta's flagship platform, XetaBase, is a multiomic capture and analytics platform designed for population‑scale genomic analysis.
In this GEN webinar, Bernd Bodenmiller, PhD (University of Zürich), illustrates this integrated approach through two recent examples. The post Spatial Proteomics for Precision Oncology appeared first on GEN - Genetic Engineering and Biotechnology News. Bernd Bodenmiller, PhD, is a quantitative…
Now researchers in the Spatial Proteomics lab headed by Dr. Fabian Coscia at the Max Delbrück Center have built the first open-source end-to-end workflow called openDVP to make the technology easier to use, adapt and scale. The study was published…
In a rare disease research dataset, SpliceAI2 identified 17% more disease-relevant variants compared to other splicing models Illumina's genomic AI models now collectively enable researchers to identify 2x as many variants with predicted biological impact The BioInsight AI Lab focuses on three main…
A same-cell, single-run workflow for CRISPR screening, optical pooled screening, and phenotypic drug discovery; putting the imaging, sequencing, and protein analysis that once took multiple instruments and vendors within reach of labs of any size With as little as 30 minutes…
A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and platform choices substantially alter cell detection, expression purity and downstream biological inference.
Oct 22, 2026, 08:30 ET Join us for a multi-speaker webinar exploring how spatial proteomics can be integrated with spatial transcriptomics on the same tissue section to maximize biological insights from valuable tissue samples. Phil Cheng, PhD, Geneva University Hospitals and University of…
Measuring molecules cell by cell and in place: single-cell sequencing, spatial transcriptomics and proteomics, and the platforms behind them.
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