Protein crystallization analysis on the World Community Grid
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Bern M, Goldberg D, Stevens RC, Kuhn P (2004) Automatic classification of protein crystallization images using a curve-tracking algorithm. J Appl Cryst 37:279–287. doi: 10.1107/S0021889804001761
Cumbaa CA, Lauricella A, Fehrman N, Veatch C, Collins R, Luft J, DeTitta G, Jurisica I (2002) Automatic classification of sub-microlitre protein-crystallization trials in 1536-well plates. Acta Crystallogr D 59:1619–1627. doi: 10.1107/S0907444903015130
Cumbaa CA, Jurisica I (2005) Automatic classification and pattern discovery in high-throughput protein crystallization trials. J Struct Funct Genomics 6:195–202. doi: 10.1007/s10969-005-5243-9
Haralick RM, Shanmugan K, Dinstein I (1973) Textural Features for Image Classification. IEEE Trans Syst Man Cybern 3:610–621
Kawabata K, Takahashi M, Saitoh K, Asama H, Mishima T, Sugahara M, Miyano M (2006) Evaluation of crystalline objects in crystallizing protein droplets based on line-segment information in greyscale images. Acta Crystallogr D 62:239–245. doi: 10.1107/S0907444905041077
Liaw A, Wiener M (2002) Classification and regression by random forest. R News 2:18–22
Liu R, Freund Y, Spraggon G (2008) Image-based crystal detection: a machine-learning approach. Acta Crystallogr D 64:1187–1195. doi: 10.1107/S090744490802982X
Luft JR, Collins RJ, Fehrman NA, Lauricella AM, Veatch CK, DeTitta GT (2003) A deliberate approach to screening for initial crystallization conditions of biological macromolecules. J Struct Biol 142:170–179. doi: 10.1016/S1047-8477(03)00048-0
Nagel RM, Luft JR, Snell EH (2008) AutoSherlock: a program for effective crystallization data analysis. J Appl Cryst 41:1173–1176. doi: 10.1107/S0021889808028938
Pan S, Shavit G, Penas-Centeno M, Xu DH, Shapiro L, Ladner R, Riskin E, Hol W, Meldrum D (2006) Automated classification of protein crystallization images using support vector machines with scale-invariant texture and Gabor features. Acta Crystallogr D 62:271–279. doi: 10.1107/S0907444905041648
Po MJ, Laine AF (2008) Leveraging genetic algorithm and neural network in automated protein crystal recognition. Conf Proc IEEE Eng Med Biol Soc 2008:1926–1929. doi: 10.1109/IEMBS.2008.4649564
Saitoh K, Kawabata K, Asama H, Mishima T, Sugahara M, Miyano M (2005) Evaluation of protein crystallization states based on texture information derived from greyscale images. Acta Crystallogr D 61:873–880. doi: 10.1107/S0907444905007948
Snell EH, Luft JR, Potter SA, Lauricella AM, Gulde SM, Malkowski MG, Koszelak-Rosenblum M, Said MI, Smith JL, Veatch CK, Collins RJ, Franks G, Thayer M, Cumbaa CA, Jurisica I, Detitta GT (2008) Establishing a training set through the visual analysis of crystallization trials. Part I: approximately 150, 000 images. Acta Crystallogr D 64:1123–1130. doi: 10.1107/S0907444908028047
Snell EH, Lauricella AM, Potter SA, Luft JR, Gulde SM, Collins RJ, Franks G, Malkowski MG, Cumbaa CA, Jurisica I, DeTitta GT (2008) Establishing a training set through the visual analysis of crystallization trials. Part II: crystal examples. Acta Crystallogr D 64:1131–1137. doi: 10.1107/S0907444908028059
Spraggon G, Lesley SA, Kreusch A, Priestle JP (2002) Computational analysis of crystallization trials. Acta Crystallogr D 58:1915–1923. doi: 10.1107/S0907444902016840
Wilson J (2007) Automated classification of crystallisation images. Euro Pharm Rev 3:61–66