Dana-Farber AI-model predicts primary source of cancer using gene sequencing data
Researchers at Dana-Farber Cancer Institute have created an AI-based tool that uses tumor gene sequencing…
Browsing: Analysis Pipelines
Mandalorion – identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads
Researchers from the University of California Santa Cruz have developed and benchmarked Mandalorion v4.1 for…
RNAseqChef – a web-based integrative transcriptome analysis to automatically detect, integrate, and visualize differentially expressed genes and their biological functions
RNA sequencing (RNA-seq) is a powerful technique for understanding cellular state and dynamics. However, comprehensive…
LRT – Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity
Single-cell RNA sequencing (scRNA-seq) data has been widely used for cell trajectory inference, with the…
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…
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…