Every cell in the body carries essentially the same genome, yet what distinguishes a neuron from a liver cell is which genes ...

One of the most stubborn problems in modern genomics has finally been given a serious new contender. Single-cell RNA ...

Precision medicine, drug discovery and cell/gene therapies are driving adoption, creating opportunities in automation, spatial multi-omics, AI bioinformatics and clinical diagnostics.Dublin, Sept. 24, ...

An overview of where next-generation sequencing is used, from whole-genome variant discovery to clinical liquid biopsy and single-cell transcriptomics.

Malva can search RNA sequences across millions of individual cells in seconds without requiring researchers to download enormous datasets or use a reference genome. The platform has indexed more than ...

What can pooled CRISPR screening and protein‑level readouts reveal that transcriptomics alone can't? Explore how single‑cell ...

Paper TitleRamanOmics decodes the spatial vibrational–molecular architecture of senescence in aging and repairJournal / PublicationNature Aging (Technical Report. DOI ...

MIT researchers combined Raman microscopy with single-cell and spatial gene-expression measurements to identify biochemical patterns associated with cellular senescence without destroying the tissue ...

A KAUST-led team has developed the AI tool Unify to help scientists compare similar cell types across distant species. This ...

Opportunities include automated closed systems, AI-enabled quality control, single-cell and cell therapy workflows, precision medicine, advanced diagnostics and emerging-market expansion.Dublin, Sept.