New computational tool identifies novel targets for cancer immunotherapy from RNA sequencing data
Researchers at Children’s Hospital of Philadelphia (CHOP) and the University of California, Los Angeles (UCLA)…
Browsing: Analysis Pipelines
scSELpy – manual cell selection in single cell transcriptomics for analysis of immune cell subsets
Single cell RNA sequencing plays an increasing and indispensable role in immunological research such as…
cellsnake – a user-friendly tool for single cell RNA sequencing analysis
Single-cell RNA sequencing (scRNA-seq) provides high-resolution transcriptome data to understand the heterogeneity of cell populations…
GuiltyTargets-COVID-19 – a machine learning method for the identification and characterization of novel COVID-19 drug targets from bulk and scRNA-Seq data
In addition to vaccines, the World Health Organization sees novel medications as an urgent matter…
scSpace – reconstruction of the cell pseudo-space from single-cell RNA sequencing data
Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq…
CloneTracer – clonally resolved single-cell multi-omics
Researchers have developed a new method to distinguish between cancerous and healthy stem cells and…
BEERS2 – RNA-Seq simulation through high fidelity in silico modeling
Simulation of RNA-seq reads is critical in the assessment, comparison, benchmarking, and development of bioinformatics…
HaploCoV – unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2
Accurate and timely monitoring of the evolution of SARS-CoV-2 is crucial for identifying and tracking…
scANANSE – gene regulatory network and motif analysis of single-cell clusters
The recent development of single-cell techniques is essential to unravel complex biological systems. By measuring…
Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data
Although an essential step, cell functional annotation often proves particularly challenging from single-cell transcriptional data.…