BIRD – Global Prediction of Chromatin Accessibility Using RNA-seq from Small Number of Cells

January 7, 2016 Leave a comment 8,241 Views

Conventional high-throughput technologies for mapping regulatory element activities such as ChIP-seq, DNase-seq and FAIRE-seq cannot analyze samples with small number of cells. The recently developed ATAC-seq allows regulome mapping in small-cell-number samples, but its signal in single cell or samples ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: TFBS

BIRD – Global Prediction of Chromatin Accessibility Using RNA-seq from Small Number of Cells

Introducing BGI’s Dr. Tom System – An Advanced and Intuitive RNA Data Visualization and Analysis System for Easy and Efficient Research and Discovery

Single-cell RNA sequencing provides a breakthrough for tomorrow’s dentistry

Upcoming Webinar – Explore chronic liver disease gene expression data

Sources of variation in cell-type RNA-Seq profiles

Grant will fund single-cell RNA sequencing study of link between senescence and Parkinson’s disease

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer’s disease

Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer