CellTree – an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data

September 14, 2016 Leave a comment 4,706 Views

Single-cell RNA sequencing is fast becoming one the standard method for gene expression measurement, providing unique insights into cellular processes. A number of methods, based on general dimensionality reduction techniques, have been suggested to help infer and visualise the underlying ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: National Institute of Advanced Industrial Science and Technology

CellTree – an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq 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

How machine learning and RNA-seq are helping patients diagnosed with the most common childhood cancer

nf-rnaSeqCount – a Nextflow pipeline for obtaining raw read counts from RNA-seq data

Characterization and sequence mapping of large RNA and mRNA therapeutics using mass spectrometry

FIRM – Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets