RNA-Seq Blog Transcriptome Research & Industry News
Single-cell RNA sequencing (scRNA-seq) enables the quantification of each gene’s expression distribution across cells, thus allowing the assessment of the...
Read More »Gene expression distribution deconvolution in single-cell RNA sequencing
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- High-throughput droplet-based analysis of influenza A virus genetic reassortment by single-virus RNA sequencing
- The way genes are switched on in one-cell embryos may resemble the trigger for cancer
- scONE-seq – A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors
- Phasik – inferring cell cycle phases from a partially temporal network of protein interactions
- Single-cell transcriptomic profiling of Crohn’s disease reveals a detailed picture of inflammation in the gut
- Gene expression model inference from snapshot RNA data using Bayesian non-parametrics
- LeukemiaDB – a comprehensive human leukemia transcriptome database
- Temporal transcriptomics analysis finds mating causes ‘jet lag’ in female fruit flies, changing behavior
- Upcoming Webinar – Emerging Applications for Single-cell Technologies
- DGAN – improved downstream functional analysis of single-cell RNA-sequence data