mitoSplitter – A mitochondrial variants-based method for efficient demultiplexing of pooled single-cell RNA-seq
Single-cell RNA-seq (scRNA-seq) analysis of multiple samples separately can be costly and lead to batch…
Browsing: Other Tools
SAHMI – denoising sparse microbial signals from single-cell sequencing of mammalian host tissues
Existing genomic sequencing data can be used to study host–microbiome ecosystems; however, distinguishing signals that…
A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing
Carcinoma of unknown primary (CUP) is a type of metastatic cancer with tissue-of-origin (TOO) unidentifiable…
ReferenceEnhancer – recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references
In 2018, researchers in the Caltech laboratory of Yuki Oka, professor of biology and Heritage Medical…
TimeTalk – decipher cell-cell communication from single-cell RNA-seq datasets
Early embryonic development is a dynamic process that relies on proper cell-cell communication to form…
Scan – scanning sample-specific miRNA regulation
RNA-sequencing technology provides an effective tool for understanding miRNA regulation in complex human diseases, including…
METAFlux – infer metabolic fluxes from bulk or single-cell transcriptomic data
Cells often alter metabolic strategies under nutrient-deprived conditions to support their survival and growth. Characterizing…
CellBender – unsupervised removal of systematic background noise from droplet-based single-cell experiments
Droplet-based single-cell assays, including single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq) and cellular indexing…
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…
RGStraP – direct inference and control of genetic population structure from RNA sequencing data
RNAseq data can be used to infer genetic variants, yet its use for estimating genetic…