Published September 15, 2020
| Version v1
Dataset
Open
Full summary statistics of mixQTL for GTEx v8 Adipose_Subcutaneous
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
(14.2 GB)
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md5:dc5d38ca1885a51f0068d594b38aaf9d
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1.3 GB | Download |
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md5:fbfe9d81fa661d3a33bf120c7d030af5
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587.0 MB | Download |
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md5:cc9fa02bc255f8bc085fc86c08d43ce2
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766.4 MB | Download |
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md5:9615b816f30ebef6fbb298bd80e2a879
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781.4 MB | Download |
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md5:5e00cf61f345b8f20e08fc8e8f07c648
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287.1 MB | Download |
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md5:e02ec48792c42e764b74dfef733ef058
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516.3 MB | Download |
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md5:c9ba2c4b7db69ea1705e1b644b50ebb8
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494.0 MB | Download |
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md5:5e595acb43b59d6f8f80f415f8eacdf2
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702.7 MB | Download |
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md5:6615b4752d97d2125af6d1107fa31030
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854.1 MB | Download |
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md5:a6355764679cdff19065c04391a63b2c
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255.6 MB | Download |
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md5:69b9edf3a686772110548a3eb94584fd
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1.1 GB | Download |
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md5:bccb1efa48b8bdadbe243e1b076494db
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898.6 MB | Download |
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md5:9071d1aea31cdec583b929fb1ca8f711
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378.9 MB | Download |
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md5:f0dfdc1dce468b93dec849d54be621bf
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185.8 MB | Download |
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md5:d20ea35a3b599c418c6f98fc383e6566
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384.0 MB | Download |
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md5:d4e74dd7224c2b845b8830d837cd91e9
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749.1 MB | Download |
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md5:116ef240d189bc1d627606c2649d1933
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560.5 MB | Download |
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md5:45ecf48b3f37f88c2b1ee526365d9ada
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647.7 MB | Download |
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md5:1a2a3c8e5abac4c81861cc8a248cc0bb
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893.6 MB | Download |
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md5:904a74bcf5285638859198e8eb9f2c8a
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717.6 MB | Download |
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md5:f17874a5515911b1e78738756f4482f6
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541.4 MB | Download |
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md5:45d36a7388670b58ab8e547a50addf0e
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551.7 MB | Download |