Published September 15, 2020
| Version v1
Dataset
Open
Full summary statistics of mixQTL for GTEx v8 Artery_Tibial
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
(13.3 GB)
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md5:cfff1e0eb3e14136285af9ed8bcaf2ea
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1.2 GB | Download |
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md5:222d05ff1642aa529463d0abe6d6bfd4
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540.0 MB | Download |
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md5:4f49260e91947afa5a61d1479ab3d4e6
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729.8 MB | Download |
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md5:3976a2b1e7b89144220d99bc14c9a1bf
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732.1 MB | Download |
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md5:368280e86da820360cc1d52e88a02623
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273.4 MB | Download |
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md5:29f889ad45a20e5c9fad8b1cd6afc7aa
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480.3 MB | Download |
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md5:99f742e532846a6fa07c82f322599cc6
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473.3 MB | Download |
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md5:4d6800538fc23f06459cf2a4fb22c828
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647.7 MB | Download |
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md5:911e7be66dd5434b11e5c4b82a22e4a1
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788.9 MB | Download |
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md5:586822e6fd3e51decee819f8cc6926d3
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225.4 MB | Download |
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md5:586e926fee9c3579ccf363d50a1efafc
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1.0 GB | Download |
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md5:691f5f399f0f2e6a57b8cf75664ddcf8
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845.7 MB | Download |
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md5:8c7b5fa8d56eb04249b43604db690597
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355.1 MB | Download |
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md5:13e26b2eda30b7ddefa9709f8e5be9e2
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166.2 MB | Download |
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md5:f68de0be69b0c6bd7a5fbc698cd593fc
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364.0 MB | Download |
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md5:8ab0b6f9ee8c86d9552b7ced8a295952
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719.2 MB | Download |
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md5:9547f1b213d3eb2085ad87ef9cc57c78
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536.9 MB | Download |
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md5:a67476b9d5dc7e8b8ea75c325710f031
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619.3 MB | Download |
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md5:785613df1265432a6004ac8c90f75471
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850.1 MB | Download |
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md5:867083081885bd024d492d37c659552d
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669.4 MB | Download |
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md5:c092363e69673cdadb687273882dedb0
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506.3 MB | Download |
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md5:90ce18725ac0955aa857e363b94da869
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531.8 MB | Download |