Rat islet RNA-seq data normalization --- A data integration approach unveils a transcriptional signature of type 2 diabetes progression in rat and human islets
Authors/Creators
- 1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Description
This repository contains the description of the normalization procedure that
normalizes the public RNA-seq data from the following publication,
Hou, J., et al. Temporal Transcriptomic and Proteomic Landscapes of
Deteriorating Pancreatic Islets in Type 2 Diabetic Rats. Diabetes 2017;66(8):2188-2200.
The raw data was downloaded from https://www.ncbi.nlm.nih.gov/geo, accession number: GEO GSE81811,
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81811https://www.ncbi.nlm.nih.gov/geo, accession number: GEO GSE81811, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81811
The above data was normalized by the multiple-reference approach MUREN described in the following publication.
Yance Feng, Lei M. Li, MUREN: a Robust and Multi-reference Approach of RNA-seq Transcripts Normalization,
BMC Bioinformatics 22, 386 (2021). https://doi.org/10.1186/s12859-021-04288-0.