A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data

January 11, 2017 Leave a comment 5,850 Views

Next-generation sequencing technologies have made RNA sequencing (RNA-seq) a popular choice for measuring gene expression level. To reduce the noise of gene expression measures and compare them between several conditions or samples, normalization is an essential step to adjust for ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Hypothesis Testing

A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of 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