Phys.org7d
Computational tool incorporates transcriptome size to improve RNA-seq analysis
More information: Songjian Lu et al, Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution, Nature Communications (2025). DOI: 10.1038/s41467-025-56623-1 Journal ...
Front Line Genomics6d
Optimising your single-cell experiment: Where does variation come from?
Technical variability can have a significant impact on single-cell experiments, affecting the accuracy and reproducibility of ...
eLife7d
Single-cell sequencing provides clues about the developmental genetic basis of evolutionary adaptations in syngnathid fishes
This study provides a valuable new resource to investigate the molecular basis of the particular features characterizing the pipefish embryo. The authors found both unique and shared gene expression ...
Computational tool maps cell differentiation with precision and efficiency
Understanding how cells transform into specialized types during human development is a central challenge in biology. This ...
Nanowerk8mon
Transcriptomics: Unveiling the Complexity of Gene Expression
It has become the gold standard for transcriptomic studies due to its high sensitivity and resolution. Single-Cell RNA Sequencing (scRNA-Seq) Single-cell RNA sequencing is an advanced technique that ...
eLife7d
Drug combination prediction for cancer treatment using disease-specific drug response profiles and single-cell transcriptional signatures
retriever generates disease-specific transcriptional drug response signatures by merging transcriptional signatures over time, concentration, and cell-type. These signatures can then be matched to ...