Published September 15, 2020
| Version v1
Dataset
Open
Full summary statistics of mixQTL for GTEx v8 Artery_Coronary
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
(12.7 GB)
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md5:a5fde13a2f3e82ed39268d97976f0eee
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1.2 GB | Download |
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md5:782e7d1d0ec999d32a4ac3730948d115
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517.0 MB | Download |
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md5:6248176f38cd2b470b3d92877e538de6
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677.5 MB | Download |
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md5:e9452cc788f67dd70d1ce39948eccf98
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690.9 MB | Download |
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md5:3450bb11af177376872d394208baf146
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262.6 MB | Download |
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md5:1cef1555c1c9fef8f1e34962c2090bc5
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475.7 MB | Download |
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md5:73b8e53ac270645f0b7db2a7fed1f729
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453.2 MB | Download |
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md5:7fa52a450110ecbc97cd90308b23b21c
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648.3 MB | Download |
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md5:8d3f970a743f793f50949805fcc54be3
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775.4 MB | Download |
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md5:c15ad5eeeead172d5a837e65487a54aa
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217.0 MB | Download |
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md5:a3fe5685ebd9dada8b03ec2b40f9a346
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1.0 GB | Download |
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md5:594e6be4be68fc60ea52934d8e0a2a8f
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802.1 MB | Download |
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md5:4872c1005fb6b4d056ea7be57636749d
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347.0 MB | Download |
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md5:c1091085c0d20d418dc59e3ffd42bda6
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165.1 MB | Download |
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md5:dadbedc37ae9178578bc488929c07eee
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359.7 MB | Download |
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md5:4611ef88762149d14a4a528c6408e5b6
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667.5 MB | Download |
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md5:d590307434f983b83761d264d35dbe75
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506.8 MB | Download |
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md5:753055fb8a9188d07015ca8fdd90a64d
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576.5 MB | Download |
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md5:ffbe7e044d2a237b76d5e987db092d96
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786.9 MB | Download |
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md5:78f178e6346dcf09d4b74b0112c23b48
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633.8 MB | Download |
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md5:9d64f77418fcf09b84ecde6b68a218b2
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478.9 MB | Download |
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md5:95db49654728d0c04165ffbb79866fb8
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508.1 MB | Download |