Unveiling the population genetic structure of Iranian horses breeds by whole-genome resequencing analysis.
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| Title: | Unveiling the population genetic structure of Iranian horses breeds by whole-genome resequencing analysis. |
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| Authors: | Arefnejad B; Department of Animal Science, University of Tehran, Karaj, Iran., Zeinalabedini M; Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. m_zeinalabedini@yahoo.com., Talebi R; Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Mardi M; Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Ghaffari MR; Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Vahidi MF; Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Nekouei MK; Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran., Szmatoła T; Centre of Experimental and Innovative Medicine, University of Agriculture in Kraków, Al. Mickiewicza 24/28, 30-059, Kraków, Poland.; Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32‑083, Balice, Poland., Salekdeh GH; School of Natural Sciences, Macquarie University, Macquarie Park, NSW, 2109, Australia. salekdeh@mq.edu.au. |
| Source: | Mammalian genome : official journal of the International Mammalian Genome Society [Mamm Genome] 2024 Jun; Vol. 35 (2), pp. 201-227. Date of Electronic Publication: 2024 Mar 23. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: United States NLM ID: 9100916 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1777 (Electronic) Linking ISSN: 09388990 NLM ISO Abbreviation: Mamm Genome Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1777 |
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| DOI: | 10.1007/s00335-024-10035-6 |
