Tag: computational biology

Researchers have developed qMAP, a computational framework that quantifies how RNA cleavage patterns shift across development, inflammation, infertility, and aging, ...

A new high-performance tool called DartUniFrac enables phylogenetic microbiome diversity analysis at unprecedented scale, overcoming the computational limits of classical ...

Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...

A new computational framework called IRIS uses perturbation screening data and transfer learning to reconstruct the signaling states and histories ...

A new framework called MutexaGPT aims to translate scientists' mechanistic intuitions into physics-grounded enzyme designs, combining large language models with ...

Researchers have developed a computational framework that integrates time-series single-cell RNA sequencing with spatial transcriptomics to reconstruct spatiotemporal cell-type redistribution ...

Researchers have introduced Joint-RPCA, a fast and accurate computational method that jointly integrates sparse, compositional multi-omics microbiome data to reveal ...

A new heterogeneous graph transformer called scFormer connects cells through their most specific genes rather than their most similar neighbors, ...

A new computational study is turning the spotlight on one of biology’s most difficult questions: why can two protein isoforms ...

In recent years, the complexities surrounding the study of evolution have posed significant challenges for researchers seeking to elucidate how ...