RNA-Seq Blog Transcriptome Research & Industry News
Topic: RNA-Seq Analysis Presented by: Thomas Kono, Ph.D., Adam Herman, Ph.D. – Minnesota Supercomputing Institute – Learn more at https://www.msi.umn.edu
Don't Miss
- SNuBar-ATAC – simple oligonucleotide-based multiplexing of single-cell chromatin accessibility
- Single cell RNA sequencing based identification and profiling of Leishmania parasitized host cells
- Direct RNA sequencing reveals SARS-CoV-2 m6A sites
- Single-cell RNA sequencing identifies of early-stage lung cancer biomarkers from circulating blood
- scRNA-seq – Introduction to single cell RNA-seq data analysis
- 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
Hi,
what is the best platform to use when you need to analyse RNA seq data along side clinical and laboratory data using a holistic approach? I believe viewing research data set as one entity instead of fragmenting it is key in unraveling knowledge gaps as well as changing parameters.
Thank you