Published June 14, 2022
| Version v6
Dataset
Open
RD-Connect GPAP synthetic data spiked-in variant data
Creators
Description
This data is a subset of Rare Disease Synthetic Dataset (EGAD00001008392) dataset. The subset only contains the chromosomal regions with the spiked-in causative variants. The associated study is the Human genomic and phenotypic synthetic data for the study of rare diseases (EGAS00001005702) study. For more info go to https://ega-archive.org/.
All this data was created with the support of the RD-Connect GPAP (https://platform.rd-connect.eu/), EC H2020 project EJP-RD (grant # 825575), EC H2020 project B1MG (grant # 951724) and Generalitat de Catalunya VEIS project (grant # 001-P-001647).
Files
Files
(142.6 GB)
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md5:39ca1245053bce009b26211e37ca686b
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144 Bytes | Download |
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14.5 MB | Download |
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38.7 MB | Download |
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31.2 MB | Download |
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4.4 GB | Download |
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171.8 kB | Download |
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4.4 GB | Download |
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172.0 kB | Download |
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4.1 GB | Download |
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172.4 kB | Download |
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144 Bytes | Download |
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37.3 MB | Download |
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61.0 MB | Download |
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48.9 kB | Download |
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15.0 GB | Download |
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569.7 kB | Download |
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15.7 GB | Download |
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570.2 kB | Download |
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14.8 GB | Download |
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571.5 kB | Download |
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144 Bytes | Download |
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26.9 MB | Download |
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56.5 MB | Download |
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49.9 MB | Download |
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46.3 MB | Download |
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35.7 kB | Download |
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10.7 GB | Download |
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400.0 kB | Download |
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10.8 GB | Download |
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400.1 kB | Download |
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9.9 GB | Download |
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400.6 kB | Download |
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144 Bytes | Download |
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16.9 MB | Download |
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52.7 kB | Download |
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36.9 MB | Download |
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25.8 kB | Download |
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32.0 MB | Download |
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30.1 MB | Download |
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7.1 GB | Download |
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258.8 kB | Download |
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6.9 GB | Download |
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258.9 kB | Download |
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6.7 GB | Download |
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259.3 kB | Download |
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144 Bytes | Download |
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md5:b360d13d54a41538e61ce0bc61c30494
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17.1 MB | Download |
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50.9 kB | Download |
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41.9 MB | Download |
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md5:5d7077fd654b96630b3c75a0e5d85cce
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27.4 kB | Download |
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33.1 MB | Download |
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32.6 MB | Download |
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6.3 GB | Download |
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238.6 kB | Download |
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md5:b5903f9cf5c31ef3766d1cc7b091bff1
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6.3 GB | Download |
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md5:dc54f6d8ad3b60530987000e7d75be5b
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238.7 kB | Download |
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md5:b3a08c0407ee27834ebfbda430fc3338
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5.8 GB | Download |
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md5:abd17d8ec85f2701cdc934c476f33061
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239.1 kB | Download |
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md5:7189f2b1871579bf129fe981f9899088
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144 Bytes | Download |
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md5:2863f71a82712423e088688db08030a3
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10.1 MB | Download |
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md5:91f1138f85f4f93482bb5abb0176d307
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33.8 kB | Download |
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md5:5c8ea32f37789987b9054502e427d969
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38.7 MB | Download |
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md5:1d430cd620a6eaf00f8c7c7760a1fda9
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21.3 kB | Download |
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md5:1a064ae3793170ce1d91d55f79c7c160
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30.6 MB | Download |
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md5:9c81d3d4acad8d764b2af8aab9018f68
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31.2 MB | Download |
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md5:3a1d2dbf99886fcbb73478f6482cd57c
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20.3 kB | Download |
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md5:7d51ed54323efe54e5dd4a96637cf783
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4.4 GB | Download |
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md5:2a03cb1fdf2015c8d7599f8b30c2ff9c
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171.8 kB | Download |
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md5:4a89395ca2be261396c62c83052bf466
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4.4 GB | Download |
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md5:f5a4ea8663f6d0ce128c605aaf385a64
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172.0 kB | Download |
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md5:c7a149641000a994934499e4a4c24693
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4.1 GB | Download |
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md5:34609126cea02035074cb3da0033e111
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172.4 kB | Download |