Analyzing single-cell RNA sequencing (scRNA-seq) data is crucial for understanding complex biological processes and disease ...

An algorithm that could help make DNA sequencing affordable enough for clinics - and could be useful to researchers of all stripes was developed by two USC scientists. Andrew Smith, a computational ...

Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...

Early response assessment after one cycle of neoadjuvant chemotherapy in breast cancer by FLT-PET/CT. This is an ASCO Meeting Abstract from the 2014 ASCO Annual Meeting I. This abstract does not ...

A flood of RNA sequencing (RNA-seq) data is already overwhelming existing systems for data analysis. And the waters are bound to keep rising, now that RNA-seq, the primary means of measuring gene ...

We show that the combination of dynamic programming with partial-order decomposition algorithms enables us to solve sequencing problems in polynomial time for substantially larger classes of ...

Immunologic profile of melanoma brain metastases (MBM) in patients (pts) with prolonged survival. This is an ASCO Meeting Abstract from the 2015 ASCO Annual Meeting I. This abstract does not include a ...