DeTCT – a purely quantitative digital gene expression sample processing and analysis package

August 7, 2015 Leave a comment 5,879 Views

Many RNA-seq methods are excellent tools for in-depth mRNA expression analysis of small numbers of samples and provide information on the entire RNA molecule, alternative splicing and the quantity of transcript. However, they require an involved library preparation and often ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: sample indexing

DeTCT – a purely quantitative digital gene expression sample processing and analysis package

Kassandra – precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes

RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound

Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data

SMaSH – a scalable, general marker gene identification framework for single-cell RNA-sequencing

PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics

Sample-multiplexing approaches for single-cell sequencing

Researchers use single-cell approaches and deep learning to map all stages of fruit fly embryo development