Equine genome sequencing data (2022)

Equine genome sequencing data (2022)


In order to study the population evolution history and local adaptive genetic mechanism of the main domesticated equine animals in the Qinghai Tibet Plateau and its surrounding areas, and to establish the corresponding germplasm genetic resource bank. We sequenced the equine samples collected in Qinghai Province, Tibet Autonomous Region and Xinjiang Autonomous Region from the Qinghai Tibet Plateau and surrounding areas, including Tibetan donkey, plain donkey and other breeds. Sequencing includes denove and resequencing data, which provides data for tracing the historical events of domestication, migration, expansion and other groups of the main equine domesticated animals in the region, and further exploring the adaptation mechanism of equine animals to the harsh environment such as hypoxia, cold, and dryness. At the same time, all tissues of domestic donkeys were sequenced, including hifi genome data and HIC genome data, to prepare for the assembly of complete donkey genome and facilitate subsequent analysis.


File naming and required software

The files were named according to the sequencing database, and different types of data were analyzed using corresponding software


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Cite as:

Li, Y. (2022). Equine genome sequencing data (2022). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272753. CSTR: 18406.11.HumanNat.tpdc.272753. (Download the reference: RIS | Bibtex )

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Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Geographic coverage
East: 100.00 West: 94.00
South: 28.00 North: 30.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 1,000,000 MB
  • Views: 195
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2022-01-01 To 2022-09-30
  • Updated time: 2022-08-10

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Contacts
: LI Yan  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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