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
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- Development and validation of an RNA-seq-based transcriptomic risk score for asthma
- RNA sequencing reveals why people with COPD are more susceptible to COVID-19
- Alithea Genomics Raises CHF 1 Million in Seed Financing to Enable Commercialization and Scale-Up of Unique RNA Sequencing Technology
- RNA-Seq of the tumor microenvironment yielded an excellent correlation with immunohistochemistry and flow cytometry data
- Single-cell RNA sequencing reveals how aggressive T cells can make heart disease even worse
- Sequencing of archival flu virus RNA from European museum samples provides new insights into 1918 pandemic
- Imperial College London partners with laboratory in DR Congo for rapid polio detection via NGS of viral RNA
- Hereditary fusion genes are identified as genetic factors associated with monozygotic twins
- In-person RNA-Seq Data Analysis Workshop in Leipzig, Germany (October 25-28, 2022)
- How machine learning and RNA-seq are helping patients diagnosed with the most common childhood cancer
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