Researchers develop RNA-Seq analysis tool for the safer design of gene editing
Scheme of safety evaluation by DANGER analysis. When off-target regions are affected by genome editing,…
Browsing: Other Tools
BENGAL – benchmarking strategies for cross-species integration of single-cell RNA sequencing data
The growing number of available single-cell gene expression datasets from different species creates opportunities to…
Population-level integration of single-cell datasets enables multi-scale analysis across samples
The increasing amount of data recorded in medical research can only lead to scientific breakthroughs…
FWP – feature-weight based measurement of cancerous transcriptome using cohort-wide and sample-specific information
Identifying cancerous samples or cells using transcriptomic data is critical for cancer related basic research,…
DeepCCI – a deep learning framework for identifying cell–cell interactions from single-cell RNA sequencing data
Cell-cell interactions (CCIs) play critical roles in many biological processes such as cellular differentiation, tissue…
Deciphering RNA splicing logic with interpretable machine learning
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach…
SCINPAS – single cell identification of novel PolyA sites
Alternative polyadenylation is a main driver of transcriptome diversity in mammals, generating transcript isoforms with…
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…
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…