RNA-Seq Blog Transcriptome Research & Industry News
Intro Biostatistics and Bioinformatics, lec 23
ChIP-seq and RNA-seq
presented by Stuart Brown
Tagged with: chip-rna-seq chip-seq
Don't Miss
- A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes
- scRNA-Seq reveals in situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells
- JUM – a computational method for comprehensive annotation-free analysis of alternative pre-mRNA splicing patterns
- Along The Way – Combining RNA-Seq and Lineage Tracing to Map Developmental Lineage Trajectories
- Interpretation of differential gene expression results of RNA-seq data
- Featured RNA-Seq Job – Genomics and Bioinformatics
- iMapSplice – Alleviating reference bias through personalized RNA-seq alignment
- Researchers develop technique to measure the expression dynamics of each gene in a single cell
- RNA-Seq reveals estrogen receptor events linked to breast cancer metastasis
- Novel platform expands use of RNA sequencing to find targets for FDA-approved cancer drugs
