39  Using artificial intelligence to analyze horse gait parameters for genomics research in musculoskeletal traits von Smythe, M.P., Gupta, V., Staiger, E.A., Bao, Y., Brooks, S.A.

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Digital video analysis reveals gait parameters that predict performance in the jumping test phase of three-day eventing von Johns, L.T., Smythe, M.P., Dewberry, L.S., Staiger, E.A., Allen, K., Brooks, S.A.

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Common genetic variants contribute to risk of transposition of the great arteries von Skoric-Milosavljevic, D., Tadros, R., Bosada, F.M., Tessadori, F., Weerd, J.H. van, Woudstra, O.I., Tjong, F.V.Y., Lahrouchi, N., Bajolle, F., Cordell, H.J., Agopian, A.J., Blue, G.M., Barge-Schaapveld, D.Q.C.M., Gewillig, M., Preuss, C., Lodder, E.M., Barnett, P., Ilgun, A., Beekman, L., Duijvenboden, K. van, Bokenkamp, R., Muller-Nurasyid, M., Vliegen, H.W., Konings, T.C., Melle, J.P. van, Dijk, A.P.J. van, Kimmenade, R.R.J. van, Roos-Hesselink, J.W., Sieswerda, G., Meijboom, F., Abdul-Khaliq, H., Berger, F., Dittrich, S., Hitz, M.P., Moosmann, J., Riede, F.T., Schubert, S., Galan, P., Lathrop, M., Munter, H.M., Al-Chalabi, A., Shaw, C.E., Shaw, P.J., Morrison, K.E., Veldink, J.H., Berg, L.H. van den, Evans, S., Nobrega, M.A., Aneas, I., Radivojkov-Blagojevic, M., Meitinger, T., Oechslin, E., Mondal, T., Bergin, M.L., Smythe, J.F., Altamirano-Diaz, L., Lougheed, J., Bouma, B.J., Chaix, M.A., Kline, J., Bassett, A.S., Andelfinger, G., Palen, R.L.F. van der, Bouvagnet, P., Clur, S.A.B., Breckpot, J., Kerstjens-Frederikse, W.S., Winlaw, D.S., Bauer, U.M.M., Mital, S., Goldmuntz, E., Keavney, B., Bonnet, D., Mulder, B.J., Tanck, M.W.T., Bakkers, J., Christoffels, V.M., Boogerd, C.J., Postma, A.V., Bezzina, C.R.

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Recent measurements of material constants versus temperature for langatate, langanite and langasite von Malocha, D.C., da Cunha, M.P., Adler, E., Smythe, R.C., Frederick, S., Chou, M., Helmbold, R., Zhou, Y.S.

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