Methods

Researchers from Texas A&M University present scTenifoldXct, a semi-supervised computational tool for detecting ligand-receptor (LR)-mediated cell-cell interactions and mapping cellular communication graphs. Their method is based on manifold alignment, using LR pairs as inter-data correspondences to embed ligand and receptor ...

In a development that could accelerate the discovery of new diagnostics and treatments, researchers at Children’s Hospital of Philadelphia (CHOP) have developed a versatile and low-cost technology for targeted sequencing of full-length RNA molecules. The technology, called TEQUILA-seq, is highly cost-effective compared ...

Droplet-based single-cell assays, including single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq) and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq)...

The world is sitting on a wealth of knowledge that has yet to be fully realized. Researchers around the globe generate huge amounts of biomedical data across an enormous spectrum of specialties – clinical data, genomic data, epidemiological data – ...

Droplet microfluidic methods have massively increased the throughput of single-cell sequencing campaigns. The benefit of scale-up is, however, accompanied by increased background noise when processing challenging samples and the overall RNA capture efficiency is lower. These drawbacks stem from the ...

High-throughput total nucleic acid (TNA) purification methods based on solid-phase reversible immobilization (SPRI) beads produce TNA suitable for both genomic and transcriptomic applications...

Cellular omics such as single-cell genomics, proteomics, and microbiomics allow the characterization of tissue and microbial community composition, which can be compared between conditions to identify biological drivers. This strategy has been critical to revealing markers of disease progression, such ...

Single-cell datasets are routinely collected to investigate changes in cellular state between control cells and the corresponding cells in a treatment...

Oxford Nanopore Technologies' (ONT) sequencing platform offers an excellent opportunity to perform real-time analysis during sequencing. This feature allows for early insights into experimental data and accelerates a potential decision-making process...

Researchers at Dana-Farber Cancer Institute have created an AI-based tool that uses tumor gene sequencing data to predict the primary source of a patient’s cancer. The study, published in in Nature Medicine, suggests that this predictive tool...