Study reveals spatial heterogeneity in the tumor microenvironment of multiregional clear cell renal cell carcinoma biopsies
BostonGene Corporation announced the publication of a study, conducted in collaboration with researchers at Washington…
Browsing: Publications
ShIVA – A user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data
Single-cell technologies have revolutionised biological research and applications. As they continue to evolve with multi-omics…
Single-cell RNA sequencing provides valuable for insight into the development of bubonic plague and host immune response
Yersinia pestis (Y. pestis), the causative agent of plague, has caused millions of deaths in three…
Machine learning for cell type classification from single nucleus RNA sequencing data
With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is…
Quality control recommendations for RNASeq using FFPE samples
Formalin-fixed, paraffin-embedded (FFPE) tissues have many advantages for identification of risk biomarkers, including wide availability…
HTCA – a database with an in-depth characterization of the single-cell human transcriptome
Single-cell RNA-sequencing (scRNA-seq) is one of the most used single-cell omics in recent decades. The…
RNA velocity unraveled
Single-cell sequencing data are snapshots of biological processes, making it challenging to infer dynamic relationships…
sbRNA-seq – semibulk RNA-seq analysis for measuring gene expression statuses in a local cellular environment
When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is…
Researchers study sex-determination in birds using primordial germ cells and RNA-sequencing analysis
Female-specific potential processes and pathways were identified in chicken primordial germ cells (PGCs) derived from…
devCellPy – a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data
A major informatic challenge in single cell RNA-sequencing analysis is the precise annotation of datasets…