Researchers studying cystic fibrosis (CF) pathogens have produced numerous RNA-seq datasets which are available in the gene expression omnibus (GEO).
Read More »Single-cell atlas of drug treatments in a mouse model of diabetic kidney disease
Diabetic kidney disease (DKD) occurs in ∼40% of patients with diabetes and causes kidney failure, cardiovascular disease, and premature death...
Read More »Researchers use scRNA-Seq for molecular profiling of differentiating human embryonic stem cells
Scientists at EPFL and the Karolinska Institute have tested and confirmed a protocol for growing human embryonic stem cells into retina cells to treat eye diseases such as age-related macular degeneration...
Read More »An optimized protocol for single nuclei isolation from clinical biopsies for RNA-seq
Single nuclei RNA sequencing (snRNA-seq) has evolved as a powerful tool to study complex human diseases. Single cell resolution enables the study...
Read More »Estimating tumor-specific total mRNA level from bulk RNA-seq predicts cancer outcomes
Study reports first mathematical approach to measure total tumor-specific mRNA from mixed tumor samples Researchers at The University of Texas MD Anderson Cancer Center have developed a new approach to quantify tumor-specific total mRNA levels from patient tumor samples, which contain both ...
Read More »A rapid high-resolution HLA typing assay using RNA-Seq
HLA typing provides essential results for stem cell and solid organ transplants, as well as providing diagnostic benefits for various rheumatology, gastroenterology, neurology, and infectious...
Read More »Featured RNA-Seq Job – Senior Bioinformatician
We are seeking a curious and experienced bioinformatician with a knack for translating Omics data to new biological discoveries. You will be part of our Target Discovery & Single-cell Omics team...
Read More »Rapid whole genome and RNA sequencing improves diagnosis in critically ill infants on a national scale
Children who are born severely ill or who develop serious illness in the first few weeks of life are often difficult to diagnose, with considerable implications for their short and longer-term care. But sequencing...
Read More »A deep learning model to classify neoplastic state and tissue origin from transcriptomic data
Application of deep learning methods to transcriptomic data has the potential to enhance the accuracy and efficiency of tissue classification and...
Read More »The Tri-Omics Summit – Sept 27th-29th – Boston, MA
Extraordinary times call for extraordinary events! Therefore, it’s our pleasure to invite you to the Tri-Omics Summit, coming to Boston in September 2022 as a one-stop-shop for multi-disciplinary teams to come together to address the challenges of “omics” data analysis ...
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