Novel algorithm able to detect mutations in single-cell sequencing data sets
Being able to characterise somatic mutations at single-cell resolution is essential for understanding cancer evolution…
Browsing: Analysis Pipelines
scGPT – towards building a foundation model for single-cell multi-omics using generative AI
Generative pre-trained models have achieved remarkable success in various domains such as natural language processing…
Preprocessing of single cell RNA sequencing data using correlated clustering and projection
Single-cell RNA sequencing (scRNA-seq) is widely used to reveal heterogeneity in cells, which has given…
A computational pipeline to identify RNA editing sites of cell types from scRNA-seq data
RNA editing is a post-transcriptional modification with a cell-specific manner and important biological implications. Although…
Now, every biologist can use machine learning
New automated machine learning platform enables easy, all-in-one analysis, design, and interpretation of biological sequences…
UC Irvine neuroscientists develop ‘meta-cell’ to move single-cell transcriptomics forward
New process reveals single-cell secrets for novel therapeutic targets University of California, Irvine neuroscientists probing…
Pathway Analysis with OmicsBox: Analyzing a Salamander Limb Regeneration Transcriptomics Dataset
The functional interpretation of differentially expressed genes obtained from RNA-seq data is a critical step…
scSemiAAE – a semi-supervised clustering model for single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) strives to capture cellular diversity with higher resolution than bulk RNA…
scMEB – a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data
Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing…
ExpressAnalyst – a unified platform for RNA-sequencing analysis in non-model species
The increasing application of RNA sequencing to study non-model species demands easy-to-use and efficient bioinformatics…