Published September 15, 2020
| Version v1
Dataset
Open
Full summary statistics of mixQTL for GTEx v8 Brain_Substantia_nigra
Authors/Creators
- 1. The University of Chicago
- 2. The Broad Institute of MIT and Harvard
Description
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Files
Files
(10.8 GB)
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md5:1428094b5803433287a2692b32e4d5c9
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950.2 MB | Download |
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md5:16fcfe47399cfe663ab3f439e4f8bd42
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440.6 MB | Download |
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md5:b29527f5f8a0a37c531eee3073df0a4a
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565.4 MB | Download |
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md5:1073d22268df2f9e67352986a5742b66
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568.9 MB | Download |
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md5:9265898f06386a7ff90d182c2c1db3f7
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230.3 MB | Download |
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md5:eff865f579c37867aa9aa183836dbc49
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378.1 MB | Download |
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md5:939bd33d6403d6e0b869fd347f3f887b
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379.7 MB | Download |
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md5:232e960f137b615b5f32c52d7d89fa7e
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560.5 MB | Download |
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md5:5794d33965bc331234cdd1e8e26566d1
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643.9 MB | Download |
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md5:d15a0e2e62d257daf4dd570964b64dbc
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191.4 MB | Download |
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md5:ba233bb964ee78664824948371c79a06
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898.0 MB | Download |
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md5:4d1fb886e191e8cf78242db14a24732d
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673.3 MB | Download |
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md5:d878200a038965fdee96f47ad0ff1543
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302.5 MB | Download |
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md5:ff495baf76234d6ad560cc0d68b424d0
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135.4 MB | Download |
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md5:f7e1d97d3a87c6a4cc42fd51926d678e
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297.7 MB | Download |
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md5:aaca7105fd11e0246ee8fd0c8df5dd0e
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564.2 MB | Download |
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md5:e8195c6f80859f493451d226b8a898f0
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416.9 MB | Download |
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md5:1e9c93dfba296aee7c3d080aeb24c22d
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492.8 MB | Download |
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md5:a8c0785156744943b522804039071bd4
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671.5 MB | Download |
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md5:d762f2c1d730062b054ad75084483d47
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535.2 MB | Download |
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md5:2dcffadf87d4334c451a24006595bc89
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418.3 MB | Download |
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md5:7bcb9bf73a6f2837ecd85baf6d42ca03
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437.7 MB | Download |