Understanding human fetal pancreas development using subpopulation sorting and RNA sequencing
|Study ID||Alternative Stable ID||Type|
Study Datasets 1 dataset.
The dataset comprises RNA-seq information of 4 subpopulations sorted from human fetal pancreas of 3 different donors. Low input libraries were generated using the Smart-seq2 protocol after Ampure XP cleanup of the total RNA extracted from the sorted cells. Libraries were multiplexed and sequenced paired-end over 2 lanes of HiSeq4000 each. Raw data was aligned to the human genome refernence GRCh37 using STAR v2.5.1b with GENCODE v19 as transcriptome reference, and unaligned reads were folded ... (Show More)
|Illumina HiSeq 4000||12|