Published February 25, 2022 | Version 1.0

Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits

  • 1. Kyushu University

Description

Supporting data associated with the manuscript "Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits". These include:

  • StringTie2.438.GEUVADIS.gtf.gz - Assembled transcriptome using RNA-seq from 438 samples from the GEUVADIS project by StringTie2
  • puQTL_nominal_output.txt.gz - puQTL results from QTLtools nominal pass
  • puQTL_conditional_output.txt.gz - puQTL results from QTLtools conditional pass
  • eQTL_nominal_output.txt.gz - eQTL results from QTLtools nominal pass
  • eQTL_conditional_output.txt.gz - eQTL results from QTLtools conditional pass

See https://qtltools.github.io/qtltools/ for column descriptions of QTL mapping results.

Files

Files (6.2 GB)

Name Size
md5:584736ff34bdb3c4a7ebd3243cb1ad23
72.9 MB Download
md5:008ad53890c47661336a25c070326f5f
3.0 GB Download
md5:a0ceebf2498d664bdaf0c9b805a89e37
9.7 MB Download
md5:fd103a44cb71c59667d09d88ea17c6b5
3.1 GB Download
md5:52618dd59ef02dfe8d895429f79a9821
26.0 MB Download