Transcriptome profiling of derived-hepatocyte progenitors from human iPSCs with nanoCAGE - part 1 - sequencing data (FASTQ files)
<p>This repository contains raw sequencing data (FASTQ files) produced from Illumina MiSeq run IDs "170630_M00528_0292_000000000-B9JY8" (aka "NC_LIMMS") and "180221_M00528_0334_000000000-B6PJM" (aka "NC_LIMMS2") . Sequencing libraries were prepared following the latest version of the nanoCAGE protocol (Poulain et al., Methods Mol Biol. 2017;1543:57-109. doi: 10.1007/978-1-4939-6716-2_4). They respectively contain a mix of 24 ("NC_LIMMS") and 18 ("NC_LIMMS2") samples tagged by specific barcode sequences at the 5'-ends (see tables below). The tagmentation step included in the protocol was performed using an equimolar mix of 12 Nextera XT N-series index primers (N701 to N712), therefore "NNNNNNNN" was indicated as index sequence on the Illumina Sample Sheet for the demultiplexing (see tables below). Libraries were sequenced paired-end on Illumina MiSeq system with the MiSeq Reagent Kit v3 (150 cycles: 58 cycles used for READ1, 8 cycles used for the Index, and 84 cycles used for READ2). Genomic alignments (BED files) of paired-end reads on human genome assemblies hg19 and hg38 using the MOIRAI pipeline (Hasegawa et al. BMC Bioinformatics 2014 May 16;15:144. doi: 10.1186/1471-2105-15-144) were deposited at Zenodo under the following Digital Object Identifier: 10.5281/zenodo.1017276.</p> <p> </p> <p><em><strong>"170630_M00528_0292_000000000-B9JY8" ("NC_LIMMS") :</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>1 iPSC_control_rep1 4 ACAGAT NNNNNNNN</p> <p>2 iPSC_control_rep2 24 ATCGTG NNNNNNNN</p> <p>3 iPSC_control_rep3 31 CACGAT NNNNNNNN</p> <p>4 S3P1_OK_rep1 36 CACTGA NNNNNNNN</p> <p>5 S3P1_OK_rep2 46 CTGACG NNNNNNNN</p> <p>6 S3P1_OK_rep3 63 GAGTGA NNNNNNNN</p> <p>7 S4P1_OK_rep1 79 GTATAC NNNNNNNN</p> <p>8 S4P1_OK_rep2 92 TCGAGC NNNNNNNN</p> <p>9 S4P1_OK_rep3 9 ACATGA NNNNNNNN</p> <p>10 S4P2_OK_rep1 21 ATCATA NNNNNNNN</p> <p>11 S4P2_OK_rep2 33 CACGTG NNNNNNNN</p> <p>12 S4P2_OK_rep3 45 CGATGA NNNNNNNN</p> <p>13 S1P1_rep1 57 GAGATA NNNNNNNN</p> <p>14 S1P1_rep2 69 GCTCTC NNNNNNNN</p> <p>15 S1P1_rep3 81 GTATGA NNNNNNNN</p> <p>16 S3P1_FAILED_rep1 93 TCGATA NNNNNNNN</p> <p>17 S3P1_FAILED_rep2 11 AGTAGC NNNNNNNN</p> <p>18 S3P1_FAILED_rep3 23 ATCGCA NNNNNNNN</p> <p>19 S4P1_FAILED_rep1 35 CACTCT NNNNNNNN</p> <p>20 S4P1_FAILED_rep2 47 CTGAGC NNNNNNNN</p> <p>21 S4P1_FAILED_rep3 59 GAGCGT NNNNNNNN</p> <p>22 S4P2_FAILED_rep1 71 GCTGCA NNNNNNNN</p> <p>23 S4P2_FAILED_rep2 83 TATAGC NNNNNNNN</p> <p>24 S4P2_FAILED_rep3 95 TCGCGT NNNNNNNN</p> <p> </p> <p><em><strong>"180221_M00528_0334_000000000-B6PJM" ("NC_LIMMS2"):</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>25 PETRI_rep1 04 ACAGAT NNNNNNNN</p> <p>26 PETRI_rep2 24 ATCGTG NNNNNNNN</p> <p>27 PETRI_rep3 31 CACGAT NNNNNNNN</p> <p>28 BIOCHIP_E_rep1 6 CACTGA NNNNNNNN</p> <p>29 BIOCHIP_M_rep1 46 CTGACG NNNNNNNN</p> <p>30 BIOCHIP_S_rep1 63 GAGTGA NNNNNNNN</p> <p>31 BIOCHIP_E_rep2 79 GTATAC NNNNNNNN</p> <p>32 BIOCHIP_M_rep2 92 TCGAGC NNNNNNNN</p> <p>33 BIOCHIP_S_rep2 09 ACATGA NNNNNNNN</p> <p>34 BIOCHIP_E_rep3 21 ATCATA NNNNNNNN</p> <p>35 BIOCHIP_M_rep3 33 CACGTG NNNNNNNN</p> <p>36 BIOCHIP_S_rep3 45 CGATGA NNNNNNNN</p> <p>37 HEPATOCYTES_rep1 57 GAGATA NNNNNNNN</p> <p>38 HEPATOCYTES_rep2 69 GCTCTC NNNNNNNN</p> <p>39 iPSC_control_rep1-2 81 GTATGA NNNNNNNN</p> <p>40 BIOCHIP_E_rep2-2 93 TCGATA NNNNNNNN</p> <p>41 BIOCHIP_M_rep1-2 11 AGTAGC NNNNNNNN</p> <p>42 BIOCHIP_S_rep2-2 23 ATCGCA NNNNNNNN</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 4
Topics
Dataset details
- Repository
- zenodo
- Published
- October 16, 2017
- License
- Not reported
- DOI
- 10.5281/zenodo.1014008
Scored with release 0.9.0
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