RNA-Seq Blog Transcriptome Research & Industry News
Mark Robinson – Institute of Molecular Life Sciences – University of Zurich SIB Virtual Computational Biology Seminar Series, 3 Feb 2016, Lausanne
Read More »Modern RNA-seq differential expression analyses: transcript-level or gene-level
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- m6A-seq2 – multiplexed profiling facilitates robust m6A quantification at site, gene and sample resolution
- Scientists use m6A RNA sequencing to gain new understanding of how brain cells talk
- PerkinElmer and Honeycomb Biotechnologies Launch the HIVE scRNAseq Solution for Single-Cell Analysis
- RNA sequencing data for FFPE tumor blocks can be used for robust estimation of tumor mutation burden in individual biosamples
- Positions for Postdoc/Research Staff/PhD student interested in single-cell transcriptomics at the Stony Brook University
- Differences in transcriptome annotation affect direct gene abundance comparisons between species
- Takara Bio USA, Inc. Launches Automated, Full-Length Single-Cell RNA-seq Solution for Enhanced Biomarker Discovery
- Single-cell RNA sequencing of small cell lung cancer reveals unusual cell type that could explain why it’s so aggressive
- Ordered two-template relay for automation-friendly, low-bias, end-to-end RNA sequence inventories of complex ncRNA samples
- Circall – fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data