Published September 15, 2020
| Version v1
Dataset
Open
Full summary statistics of mixQTL for GTEx v8 Nerve_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
(14.8 GB)
| Name | Size | |
|---|---|---|
|
md5:0d03cf061b6aecd31ebfbd18ca93e840
|
1.3 GB | Download |
|
md5:a13397ed7ba826a463bd7736e52627ad
|
600.1 MB | Download |
|
md5:eeedaa1f8ee0035b7db8e959ce966913
|
797.4 MB | Download |
|
md5:cff910431f38186595668b20da4fa89b
|
826.3 MB | Download |
|
md5:57ffcaba771d5a029d73a5a738794fdc
|
309.4 MB | Download |
|
md5:01936bab46d60a35defff04e0b6fdbc6
|
531.1 MB | Download |
|
md5:8f54650c99e238b5175864277b34dd4c
|
523.9 MB | Download |
|
md5:fd83e1f18612a7c6e079ea6c58a98f78
|
724.7 MB | Download |
|
md5:a8bbb3d87ba1e86d0c699fc7ee0967b2
|
885.6 MB | Download |
|
md5:79075e62b6c430edcfed709ef7353e8b
|
273.5 MB | Download |
|
md5:b5ea0cde3bae24f9836c10e0eeab94b7
|
1.1 GB | Download |
|
md5:6c02156fbd884f7bfdad597d3a350c96
|
923.0 MB | Download |
|
md5:c08345e2b847dbe3c420d95c3406e80d
|
387.8 MB | Download |
|
md5:9b6396d4927bb04424b729751e310f59
|
190.0 MB | Download |
|
md5:35a9fc816175e31021625e26bce15abf
|
408.6 MB | Download |
|
md5:b8b89129c0d6612fc5302b06fcccb3b2
|
791.1 MB | Download |
|
md5:cbf657d141efa89f0368dd11c34697f0
|
595.2 MB | Download |
|
md5:77e1aa87cbb1cea111366c4b4e39c7b6
|
682.2 MB | Download |
|
md5:e870daad3cf6d2c4daf15f8552381798
|
923.8 MB | Download |
|
md5:a0ad38a04662653e529a3a8ebd5dd917
|
741.3 MB | Download |
|
md5:5846cf574b1810abe6693586cf8944b4
|
569.2 MB | Download |
|
md5:13f9abc7b723036f1e8971a707f7004c
|
588.8 MB | Download |