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…
Browsing: Analysis Pipelines
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.…
IBRAP – integrated benchmarking single-cell RNA-sequencing analytical pipeline
Single-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) is a powerful tool to study cellular heterogeneity. The high…
DeepMAPS – biological network inference from scMulti-omics
Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities simultaneously to capture the intricacy of…
A guide to gene-centric analysis using TreeSAPP
Gene-centric analysis is commonly used to chart the structure, function, and activity of microbial communities…
DeepBIO – automated and interpretable deep-learning platform for high-throughput biological sequence functional analysis.
Shandong University researchers have developed DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput…