TRAP – Time-series RNA-seq Analysis Package

February 14, 2014 Leave a comment 10,351 Views

Measuring expression levels of genes at the whole genome level can be useful for many purposes, especially for revealing biological pathways underlying specific phenotype conditions. When gene expression is measured over a time period, we have opportunities to understand how ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Time-series gene expression

TRAP – Time-series RNA-seq Analysis Package

Unraveling the secrets of nerve regeneration: insights from RNA sequencing

New pan-cancer single-cell T cell atlas reveals new details of tumor microenvironment

scSemiAAE – a semi-supervised clustering model for single-cell RNA-seq data

Avidity Sequencing – high accuracy with low reagent consumption

scMEB – a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data

Researchers weave deeper understanding of diverse ancestry and gene expression

ExpressAnalyst – a unified platform for RNA-sequencing analysis in non-model species