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Comparison of 3 protocols for deriving pancreatic progenitors from hPSCs (RNA-seq)

This dataset contains 26 mapped bam files. The samples were generated with 3 different protocols for deriving pancreatic progenitors from hPSC. Three parallel differentiations were performed, all done in a hPSC NKX6.1-GFP reporter line. For each protocol there are three cellular populations: total (presort), GFP+ and GFP- . In summary: 3 differentiations x 3 protocols x 3 cellular populations. We prepared Smart-Seq2 RNA-seq libraries for the 27 samples, 1 sample failed library preparation and is not therefore included in this dataset.

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Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001003513 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF00002403050 bam 3.5 GB Report
EGAF00002403051 bam 3.7 GB Report
EGAF00002403052 bam 3.2 GB Report
EGAF00002403053 bam 3.3 GB Report
EGAF00002403054 bam 3.7 GB Report
EGAF00002403055 bam 3.4 GB Report
EGAF00002403056 bam 3.2 GB Report
EGAF00002403057 bam 3.5 GB Report
EGAF00002403058 bam 3.2 GB Report
EGAF00002403059 bam 3.1 GB Report
EGAF00002403060 bam 3.3 GB Report
EGAF00002403061 bam 3.3 GB Report
EGAF00002403062 bam 3.3 GB Report
EGAF00002403063 bam 3.3 GB Report
EGAF00002403064 bam 3.2 GB Report
EGAF00002403065 bam 3.2 GB Report
EGAF00002403066 bam 3.3 GB Report
EGAF00002403067 bam 3.5 GB Report
EGAF00002403068 bam 3.2 GB Report
EGAF00002403069 bam 3.2 GB Report
EGAF00002403070 bam 3.5 GB Report
EGAF00002403071 bam 3.2 GB Report
EGAF00002403072 bam 3.2 GB Report
EGAF00002403073 bam 3.5 GB Report
EGAF00002403074 bam 3.3 GB Report
EGAF00002403075 bam 3.2 GB Report
26 Files (86.5 GB)