This repository contains individual-level longitudinal data and multi-omics profiles from an altitude training study with N=120 athletes, divided into two training groups:Endurance (n=60) and Power/St
We used in silico analyses to identify the distinct transcriptome signatures of two populations living at high altitudes and identified potential mechanisms that underlie high-altitude adaptation. Dat
Additional file 1: Table S1. The previous studies of Tibetans. Table S2. The reported genes under selection in Tibetans. Table S3. Sample information in this study. Table S4. Variant annotations. Tabl
In this study, we examined differences in the transcriptomes of four organs (heart, kidney, liver and lung) between yak and cattle, a pair of closely related species distributed at high and low altitu