RNA-Seq Blog Transcriptome Research & Industry News
Doctors have long observed that biological age and chronological age are not always one and the same. A 55-year-old may exhibit many signs of old age...
Read More »RNA-Seq + machine learning may be able to predict if you’re in for a healthy old age
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- 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
- PANDORA-seq reveals the health impact of chemicals in plastics is handed down two generations
- DirectRMDB – a database of post-transcriptional RNA modifications unveiled from direct RNA sequencing technology