Authors: van Dam, T.J.P., Kennedy, J., van der Lee, R., de Vrieze, E., Wunderlich, K.A., Rix, S., Dougherty, G.W., Lambacher, N.J., Li, C., Jensen, V.L., Leroux, M.R., Hjeij, Horn, N., Texier, Y., Wissinger, van Reeuwijk, Wheway, G., Knapp, B., Scheel, J.F., Franco, Mans, D.A., van WIjk, Kepes, F., Slaats, G.G., Toedt, Kremer, H., Omran, Szymanska, K., Koutroumpas, Ueffing, M., Nguyen, T.T.M., Letteboer, S.J.F., Oud, M.M., van Beersum, S.E.C., Schmidts, Beales, P.L., Lu, Q., Giles, R.H., Szklarczyk, Russell, R.B., Gibson, T.J., Johnson, C.A., Blacque, O.E., Wolfrum, U., Boldt, Roepman, Hernandez-Hernandez, V., Huynen, M.A.
Venue: N/A
Type: Publication
Abstract: The cilium is an essential organelle at the surface of mammalian cells whose dysfunction causes a wide range of genetic diseases collectively called ciliopathies. The current rate at which new ciliopathy genes are identified suggests that many ciliary components remain undiscovered. We generated and rigorously analyzed genomic, proteomic, transcriptomic and evolutionary data and systematically integrated these using Bayesian statistics into a predictive score for ciliary function. This resulted in 285 candidate ciliary genes. We generated indep...
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Topics: 
Computational biology
Genetics
Bioinformatics
DOI:
10.1101/123455
(Found 2 versions)
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