List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua

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3T3 Cells
S. M. Tilghman, DNA methylation: a phoenix rises., Proc Natl Acad Sci U S A, vol. 90, no. 19, pp. 8761-2, 1993.
Adenocarcinoma
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
J. Isaac Murray, Whitfield, M. L., Trinklein, N. D., Myers, R. M., Brown, P. O., and Botstein, D., Diverse and specific gene expression responses to stresses in cultured human cells., Mol Biol Cell, vol. 15, no. 5, pp. 2361-74, 2004.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
M. E. Garber, Troyanskaya, O. G., Schluens, K., Petersen, S., Thaesler, Z., Pacyna-Gengelbach, M., van de Rijn, M., Rosen, G. D., Perou, C. M., Whyte, R. I., Altman, R. B., Brown, P. O., Botstein, D., and Petersen, I., Diversity of gene expression in adenocarcinoma of the lung., Proc Natl Acad Sci U S A, vol. 98, no. 24, pp. 13784-9, 2001.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
X. Chen, Leung, S. Y., Yuen, S. T., Chu, K. - M., Ji, J., Li, R., S Y Chan, A., Law, S., Troyanskaya, O. G., Wong, J., So, S., Botstein, D., and Brown, P. O., Variation in gene expression patterns in human gastric cancers., Mol Biol Cell, vol. 14, no. 8, pp. 3208-15, 2003.
M. E. Garber, Troyanskaya, O. G., Schluens, K., Petersen, S., Thaesler, Z., Pacyna-Gengelbach, M., van de Rijn, M., Rosen, G. D., Perou, C. M., Whyte, R. I., Altman, R. B., Brown, P. O., Botstein, D., and Petersen, I., Diversity of gene expression in adenocarcinoma of the lung., Proc Natl Acad Sci U S A, vol. 98, no. 24, pp. 13784-9, 2001.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
Adenocarcinoma, Clear Cell
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
Adult
S. P. Bohen, Troyanskaya, O. G., Alter, O., Warnke, R., Botstein, D., Brown, P. O., and Levy, R., Variation in gene expression patterns in follicular lymphoma and the response to rituximab., Proc Natl Acad Sci U S A, vol. 100, no. 4, pp. 1926-30, 2003.
K. H. Desai, Tan, C. Seng, Leek, J. T., Maier, R. V., Tompkins, R. G., and Storey, J. D., Dissecting inflammatory complications in critically injured patients by within-patient gene expression changes: a longitudinal clinical genomics study., PLoS Med, vol. 8, no. 9, p. e1001093, 2011.
M. L. Whitfield, Finlay, D. R., Murray, J. Isaac, Troyanskaya, O. G., Chi, J. - T., Pergamenschikov, A., McCalmont, T. H., Brown, P. O., Botstein, D., and M Connolly, K., Systemic and cell type-specific gene expression patterns in scleroderma skin., Proc Natl Acad Sci U S A, vol. 100, no. 21, pp. 12319-24, 2003.
I. S. Lossos, Czerwinski, D. K., Alizadeh, A. A., Wechser, M. A., Tibshirani, R., Botstein, D., and Levy, R., Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes., N Engl J Med, vol. 350, no. 18, pp. 1828-37, 2004.
K. H. Desai, Tan, C. Seng, Leek, J. T., Maier, R. V., Tompkins, R. G., and Storey, J. D., Dissecting inflammatory complications in critically injured patients by within-patient gene expression changes: a longitudinal clinical genomics study., PLoS Med, vol. 8, no. 9, p. e1001093, 2011.
African Americans
S. Tucci and Akey, J. M., The long walk to African genomics., Genome Biol, vol. 20, no. 1, p. 130, 2019.
Age Factors
R. G. Tepper, Murphy, C. T., and Bussemaker, H. J., DAF-16 and PQM-1: partners in longevity., Aging (Albany NY), vol. 6, no. 1, pp. 5-6, 2014.
Algorithms
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
C. L. Myers, Dunham, M. J., Kung, S. Y., and Troyanskaya, O. G., Accurate detection of aneuploidies in array CGH and gene expression microarray data., Bioinformatics, vol. 20, no. 18, pp. 3533-43, 2004.
Z. Barutcuoglu, Airoldi, E. M., Dumeaux, V., Schapire, R. E., and Troyanskaya, O. G., Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields., Bioinformatics, vol. 25, no. 10, pp. 1307-13, 2009.
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure., PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
C. Huttenhower, K Mutungu, T., Indik, N., Yang, W., Schroeder, M., Forman, J. J., Troyanskaya, O. G., and Coller, H. A., Detailing regulatory networks through large scale data integration., Bioinformatics, vol. 25, no. 24, pp. 3267-74, 2009.
N. Slonim, Atwal, G. Singh, Tkačik, G., and Bialek, W., Information-based clustering., Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18297-302, 2005.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
C. Huttenhower, Schroeder, M., Chikina, M. D., and Troyanskaya, O. G., The Sleipnir library for computational functional genomics., Bioinformatics, vol. 24, no. 13, pp. 1559-61, 2008.
O. Troyanskaya, Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., and Altman, R. B., Missing value estimation methods for DNA microarrays., Bioinformatics, vol. 17, no. 6, pp. 520-5, 2001.
L. Peña-Castillo, Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. Kyu, Krumpelman, C., Tian, W., Obozinski, G., Qi, Y., Mostafavi, S., Lin, G. Ning, Berriz, G. F., Gibbons, F. D., Lanckriet, G., Qiu, J., Grant, C., Barutcuoglu, Z., Hill, D. P., Warde-Farley, D., Grouios, C., Ray, D., Blake, J. A., Deng, M., Jordan, M. I., Noble, W. S., Morris, Q., Klein-Seetharaman, J., Bar-Joseph, iv, Z., Chen, T., Sun, F., Troyanskaya, O. G., Marcotte, E. M., Xu, D., Hughes, T. R., and Roth, F. P., A critical assessment of Mus musculus gene function prediction using integrated genomic evidence., Genome Biol, vol. 9 Suppl 1, p. S2, 2008.
G. Wallace, Anshus, O. J., Bi, P., Chen, H., Chen, Y., Clark, D., Cook, P., Finkelstein, A., Funkhouser, T., Gupta, A., Hibbs, M., Li, K., Liu, Z., Samanta, R., Sukthankar, R., and Troyanskaya, O., Tools and applications for large-scale display walls., IEEE Comput Graph Appl, vol. 25, no. 4, pp. 24-33, 2005.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
Z. Barutcuoglu, Schapire, R. E., and Troyanskaya, O. G., Hierarchical multi-label prediction of gene function., Bioinformatics, vol. 22, no. 7, pp. 830-6, 2006.
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., Gibbs sampling and helix-cap motifs., Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
L. Peña-Castillo, Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. Kyu, Krumpelman, C., Tian, W., Obozinski, G., Qi, Y., Mostafavi, S., Lin, G. Ning, Berriz, G. F., Gibbons, F. D., Lanckriet, G., Qiu, J., Grant, C., Barutcuoglu, Z., Hill, D. P., Warde-Farley, D., Grouios, C., Ray, D., Blake, J. A., Deng, M., Jordan, M. I., Noble, W. S., Morris, Q., Klein-Seetharaman, J., Bar-Joseph, iv, Z., Chen, T., Sun, F., Troyanskaya, O. G., Marcotte, E. M., Xu, D., Hughes, T. R., and Roth, F. P., A critical assessment of Mus musculus gene function prediction using integrated genomic evidence., Genome Biol, vol. 9 Suppl 1, p. S2, 2008.
C. Huttenhower, Hibbs, M. A., Myers, C. L., Caudy, A. A., Hess, D. C., and Troyanskaya, O. G., The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction., Bioinformatics, vol. 25, no. 18, pp. 2404-10, 2009.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
Y. Guan, Ackert-Bicknell, C. L., Kell, B., Troyanskaya, O. G., and Hibbs, M. A., Functional genomics complements quantitative genetics in identifying disease-gene associations., PLoS Comput Biol, vol. 6, no. 11, p. e1000991, 2010.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
M. A. Hibbs, Hess, D. C., Myers, C. L., Huttenhower, C., Li, K., and Troyanskaya, O. G., Exploring the functional landscape of gene expression: directed search of large microarray compendia., Bioinformatics, vol. 23, no. 20, pp. 2692-9, 2007.
C. Huttenhower and Troyanskaya, O. G., Assessing the functional structure of genomic data., Bioinformatics, vol. 24, no. 13, pp. i330-8, 2008.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
L. Peña-Castillo, Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. Kyu, Krumpelman, C., Tian, W., Obozinski, G., Qi, Y., Mostafavi, S., Lin, G. Ning, Berriz, G. F., Gibbons, F. D., Lanckriet, G., Qiu, J., Grant, C., Barutcuoglu, Z., Hill, D. P., Warde-Farley, D., Grouios, C., Ray, D., Blake, J. A., Deng, M., Jordan, M. I., Noble, W. S., Morris, Q., Klein-Seetharaman, J., Bar-Joseph, iv, Z., Chen, T., Sun, F., Troyanskaya, O. G., Marcotte, E. M., Xu, D., Hughes, T. R., and Roth, F. P., A critical assessment of Mus musculus gene function prediction using integrated genomic evidence., Genome Biol, vol. 9 Suppl 1, p. S2, 2008.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., Accurate proteome-wide protein quantification from high-resolution 15N mass spectra., Genome Biol, vol. 12, no. 12, p. R122, 2011.
Y. Guan, Myers, C. L., Hess, D. C., Barutcuoglu, Z., Caudy, A. A., and Troyanskaya, O. G., Predicting gene function in a hierarchical context with an ensemble of classifiers., Genome Biol, vol. 9 Suppl 1, p. S3, 2008.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., Gibbs sampling and helix-cap motifs., Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
O. G. Troyanskaya, Arbell, O., Koren, Y., Landau, G. M., and Bolshoy, A., Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity., Bioinformatics, vol. 18, no. 5, pp. 679-88, 2002.
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
O. G. Troyanskaya, Dolinski, K., Owen, A. B., Altman, R. B., and Botstein, D., A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)., Proc Natl Acad Sci U S A, vol. 100, no. 14, pp. 8348-53, 2003.
O. Troyanskaya, Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., and Altman, R. B., Missing value estimation methods for DNA microarrays., Bioinformatics, vol. 17, no. 6, pp. 520-5, 2001.
C. L. Myers, Barrett, D. R., Hibbs, M. A., Huttenhower, C., and Troyanskaya, O. G., Finding function: evaluation methods for functional genomic data., BMC Genomics, vol. 7, p. 187, 2006.
F. Markowetz, Kostka, D., Troyanskaya, O. G., and Spang, R., Nested effects models for high-dimensional phenotyping screens., Bioinformatics, vol. 23, no. 13, pp. i305-12, 2007.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
M. D. Chikina and Troyanskaya, O. G., An effective statistical evaluation of ChIPseq dataset similarity., Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
A. V. Rangan, McGrouther, C. C., Kelsoe, J., Schork, N., Stahl, E., Zhu, Q., Krishnan, A., Yao, V., Troyanskaya, O., Bilaloglu, S., Raghavan, P., Bergen, S., Jureus, A., and Landen, M., A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data., PLoS Comput Biol, vol. 14, no. 5, p. e1006105, 2018.
G. Tkačik, Callan, C. G., and Bialek, W., Information capacity of genetic regulatory elements., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
E. M. Airoldi, Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., and Troyanskaya, O. G., Predicting cellular growth from gene expression signatures., PLoS Comput Biol, vol. 5, no. 1, p. e1000257, 2009.
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
C. Huttenhower, Hibbs, M., Myers, C., and Troyanskaya, O. G., A scalable method for integration and functional analysis of multiple microarray datasets., Bioinformatics, vol. 22, no. 23, pp. 2890-7, 2006.
C. S. Greene and Troyanskaya, O. G., Accurate evaluation and analysis of functional genomics data and methods., Ann N Y Acad Sci, vol. 1260, pp. 95-100, 2012.
C. L. Myers and Troyanskaya, O. G., Context-sensitive data integration and prediction of biological networks., Bioinformatics, vol. 23, no. 17, pp. 2322-30, 2007.
C. Y. Park, Hess, D. C., Huttenhower, C., and Troyanskaya, O. G., Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components., PLoS Comput Biol, vol. 6, no. 11, p. e1001009, 2010.
Alleles
N. S. Tolwinski and Wieschaus, E., A nuclear function for armadillo/beta-catenin., PLoS Biol, vol. 2, no. 4, p. E95, 2004.
M. K. Shin, Russell, L. B., and Tilghman, S. M., Molecular characterization of four induced alleles at the Ednrb locus., Proc Natl Acad Sci U S A, vol. 94, no. 24, pp. 13105-10, 1997.
J. V. Schmidt, Levorse, J. M., and Tilghman, S. M., Enhancer competition between H19 and Igf2 does not mediate their imprinting., Proc Natl Acad Sci U S A, vol. 96, no. 17, pp. 9733-8, 1999.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
T. F. C. Mackay, Richards, S., Stone, E. A., Barbadilla, A., Ayroles, J. F., Zhu, D., Casillas, S., Han, Y., Magwire, M. M., Cridland, J. M., Richardson, M. F., Anholt, R. R. H., Barrón, M., Bess, C., Blankenburg, K. Petra, Carbone, M. Anna, Castellano, D., Chaboub, L., Duncan, L., Harris, Z., Javaid, M., Jayaseelan, J. Christina, Jhangiani, S. N., Jordan, K. W., Lara, F., Lawrence, F., Lee, S. L., Librado, P., Linheiro, R. S., Lyman, R. F., Mackey, A. J., Munidasa, M., Muzny, D. Marie, Nazareth, L., Newsham, I., Perales, L., Pu, L. - L., Qu, C., Ràmia, M., Reid, J. G., Rollmann, S. M., Rozas, J., Saada, N., Turlapati, L., Worley, K. C., Wu, Y. - Q., Yamamoto, A., Zhu, Y., Bergman, C. M., Thornton, K. R., Mittelman, D., and Gibbs, R. A., The Drosophila melanogaster Genetic Reference Panel., Nature, vol. 482, no. 7384, pp. 173-8, 2012.
N. S. Tolwinski and Wieschaus, E., Armadillo nuclear import is regulated by cytoplasmic anchor Axin and nuclear anchor dTCF/Pan., Development, vol. 128, no. 11, pp. 2107-17, 2001.
A. L. Webber, Ingram, R. S., Levorse, J. M., and Tilghman, S. M., Location of enhancers is essential for the imprinting of H19 and Igf2 genes., Nature, vol. 391, no. 6668, pp. 711-5, 1998.
K. Pfeifer and Tilghman, S. M., Allele-specific gene expression in mammals: the curious case of the imprinted RNAs., Genes Dev, vol. 8, no. 16, pp. 1867-74, 1994.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
S. D. Kocher, Tsuruda, J. M., Gibson, J. D., Emore, C. M., Arechavaleta-Velasco, M. E., Queller, D. C., Strassmann, J. E., Grozinger, C. M., Gribskov, M. R., San Miguel, P., Westerman, R., and Hunt, G. J., A Search for Parent-of-Origin Effects on Honey Bee Gene Expression., G3 (Bethesda), vol. 5, no. 8, pp. 1657-62, 2015.
C. D. van Raamsdonk and Tilghman, S. M., Optimizing the detection of nascent transcripts by RNA fluorescence in situ hybridization., Nucleic Acids Res, vol. 29, no. 8, pp. E42-2, 2001.
S. M. Tilghman, Bartolomei, M. S., Webber, A. L., Brunkow, M. E., Saam, J., Leighton, P. A., Pfeifer, K., and Zemel, S., Parental imprinting of the H19 and Igf2 genes in the mouse., Cold Spring Harb Symp Quant Biol, vol. 58, pp. 287-95, 1993.
M. J. O'Neill, Ingram, R. S., Vrana, P. B., and Tilghman, S. M., Allelic expression of IGF2 in marsupials and birds., Dev Genes Evol, vol. 210, no. 1, pp. 18-20, 2000.
T. P. O'Brien, Metallinos, D. L., Chen, H., Shin, M. K., and Tilghman, S. M., Complementation mapping of skeletal and central nervous system abnormalities in mice of the piebald deletion complex., Genetics, vol. 143, no. 1, pp. 447-61, 1996.
T. F. C. Mackay, Richards, S., Stone, E. A., Barbadilla, A., Ayroles, J. F., Zhu, D., Casillas, S., Han, Y., Magwire, M. M., Cridland, J. M., Richardson, M. F., Anholt, R. R. H., Barrón, M., Bess, C., Blankenburg, K. Petra, Carbone, M. Anna, Castellano, D., Chaboub, L., Duncan, L., Harris, Z., Javaid, M., Jayaseelan, J. Christina, Jhangiani, S. N., Jordan, K. W., Lara, F., Lawrence, F., Lee, S. L., Librado, P., Linheiro, R. S., Lyman, R. F., Mackey, A. J., Munidasa, M., Muzny, D. Marie, Nazareth, L., Newsham, I., Perales, L., Pu, L. - L., Qu, C., Ràmia, M., Reid, J. G., Rollmann, S. M., Rozas, J., Saada, N., Turlapati, L., Worley, K. C., Wu, Y. - Q., Yamamoto, A., Zhu, Y., Bergman, C. M., Thornton, K. R., Mittelman, D., and Gibbs, R. A., The Drosophila melanogaster Genetic Reference Panel., Nature, vol. 482, no. 7384, pp. 173-8, 2012.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
C. D. van Raamsdonk and Tilghman, S. M., Dosage requirement and allelic expression of PAX6 during lens placode formation., Development, vol. 127, no. 24, pp. 5439-48, 2000.
M. S. Bartolomei, Webber, A. L., Brunkow, M. E., and Tilghman, S. M., Epigenetic mechanisms underlying the imprinting of the mouse H19 gene., Genes Dev, vol. 7, no. 9, pp. 1663-73, 1993.
alpha-Fetoproteins
J. Vacher and Tilghman, S. M., Dominant negative regulation of the mouse alpha-fetoprotein gene in adult liver., Science, vol. 250, no. 4988, pp. 1732-5, 1990.
B. T. Spear and Tilghman, S. M., Role of alpha-fetoprotein regulatory elements in transcriptional activation in transient heterokaryons., Mol Cell Biol, vol. 10, no. 10, pp. 5047-54, 1990.
R. Godbout and Tilghman, S. M., Configuration of the alpha-fetoprotein regulatory domain during development., Genes Dev, vol. 2, no. 8, pp. 949-56, 1988.
A. L. Tyner, Godbout, R., Compton, R. S., and Tilghman, S. M., The ontogeny of alpha-fetoprotein gene expression in the mouse gastrointestinal tract., J Cell Biol, vol. 110, no. 4, pp. 915-27, 1990.
J. H. Millonig, Emerson, J. A., Levorse, J. M., and Tilghman, S. M., Molecular analysis of the distal enhancer of the mouse alpha-fetoprotein gene., Mol Cell Biol, vol. 15, no. 7, pp. 3848-56, 1995.
R. Godbout, Ingram, R. S., and Tilghman, S. M., Fine-structure mapping of the three mouse alpha-fetoprotein gene enhancers., Mol Cell Biol, vol. 8, no. 3, pp. 1169-78, 1988.
J. Vacher, Camper, S. A., Krumlauf, R., Compton, R. S., and Tilghman, S. M., raf regulates the postnatal repression of the mouse alpha-fetoprotein gene at the posttranscriptional level., Mol Cell Biol, vol. 12, no. 2, pp. 856-64, 1992.
J. A. Emerson, Vacher, J., Cirillo, L. A., Tilghman, S. M., and Tyner, A. L., The zonal expression of alpha-fetoprotein transgenes in the livers of adult mice., Dev Dyn, vol. 195, no. 1, pp. 55-66, 1992.
X. J. Guan, Arhin, G., Leung, J., and Tilghman, S. M., Linkage between vitamin D-binding protein and alpha-fetoprotein in the mouse., Mamm Genome, vol. 7, no. 2, pp. 103-6, 1996.
A. L. Tyner, Godbout, R., Compton, R. S., and Tilghman, S. M., The ontogeny of alpha-fetoprotein gene expression in the mouse gastrointestinal tract., J Cell Biol, vol. 110, no. 4, pp. 915-27, 1990.
J. A. Emerson, Vacher, J., Cirillo, L. A., Tilghman, S. M., and Tyner, A. L., The zonal expression of alpha-fetoprotein transgenes in the livers of adult mice., Dev Dyn, vol. 195, no. 1, pp. 55-66, 1992.
S. A. Camper and Tilghman, S. M., Postnatal repression of the alpha-fetoprotein gene is enhancer independent., Genes Dev, vol. 3, no. 4, pp. 537-46, 1989.
M. H. Feuerman, Godbout, R., Ingram, R. S., and Tilghman, S. M., Tissue-specific transcription of the mouse alpha-fetoprotein gene promoter is dependent on HNF-1., Mol Cell Biol, vol. 9, no. 10, pp. 4204-12, 1989.
H. Yoo-Warren, Pachnis, V., Ingram, R. S., and Tilghman, S. M., Two regulatory domains flank the mouse H19 gene., Mol Cell Biol, vol. 8, no. 11, pp. 4707-15, 1988.
Amidinotransferases
L. L. Sandell, Guan, X. - J., Ingram, R., and Tilghman, S. M., Gatm, a creatine synthesis enzyme, is imprinted in mouse placenta., Proc Natl Acad Sci U S A, vol. 100, no. 8, pp. 4622-7, 2003.
Amino Acid Sequence
P. B. Vrana, Matteson, P. G., Schmidt, J. V., Ingram, R. S., Joyce, A., Prince, K. L., Dewey, M. J., and Tilghman, S. M., Genomic imprinting of a placental lactogen gene in Peromyscus., Dev Genes Evol, vol. 211, no. 11, pp. 523-32, 2001.
L. J. Kurihara, Semenova, E., Levorse, J. M., and Tilghman, S. M., Expression and functional analysis of Uch-L3 during mouse development., Mol Cell Biol, vol. 20, no. 7, pp. 2498-504, 2000.
E. G. Emberly, Wingreen, N. S., and Tang, C., Designability of alpha-helical proteins., Proc Natl Acad Sci U S A, vol. 99, no. 17, pp. 11163-8, 2002.
K. R. Christie, Weng, S., Balakrishnan, R., Costanzo, M. C., Dolinski, K., Dwight, S. S., Engel, S. R., Feierbach, B., Fisk, D. G., Hirschman, J. E., Hong, E. L., Issel-Tarver, L., Nash, R., Sethuraman, A., Starr, B., Theesfeld, C. L., Andrada, R., Binkley, G., Dong, Q., Lane, C., Schroeder, M., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms., Nucleic Acids Res, vol. 32, no. Database issue, pp. D311-4, 2004.
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., Accurate proteome-wide protein quantification from high-resolution 15N mass spectra., Genome Biol, vol. 12, no. 12, p. R122, 2011.
C. I. Brannan, Dees, E. C., Ingram, R. S., and Tilghman, S. M., The product of the H19 gene may function as an RNA., Mol Cell Biol, vol. 10, no. 1, pp. 28-36, 1990.
Animals
K. Thornton, Bachtrog, D., and Andolfatto, P., X chromosomes and autosomes evolve at similar rates in Drosophila: no evidence for faster-X protein evolution., Genome Res, vol. 16, no. 4, pp. 498-504, 2006.
S. C. Little, Tikhonov, M., and Gregor, T., Precise developmental gene expression arises from globally stochastic transcriptional activity., Cell, vol. 154, no. 4, pp. 789-800, 2013.
J. Vacher and Tilghman, S. M., Dominant negative regulation of the mouse alpha-fetoprotein gene in adult liver., Science, vol. 250, no. 4988, pp. 1732-5, 1990.
J. Miller, Zeng, C., Wingreen, N. S., and Tang, C., Emergence of highly designable protein-backbone conformations in an off-lattice model., Proteins, vol. 47, no. 4, pp. 506-12, 2002.
B. K. Jones, Levorse, J. M., and Tilghman, S. M., Igf2 imprinting does not require its own DNA methylation or H19 RNA., Genes Dev, vol. 12, no. 14, pp. 2200-7, 1998.
P. B. Vrana, Matteson, P. G., Schmidt, J. V., Ingram, R. S., Joyce, A., Prince, K. L., Dewey, M. J., and Tilghman, S. M., Genomic imprinting of a placental lactogen gene in Peromyscus., Dev Genes Evol, vol. 211, no. 11, pp. 523-32, 2001.
B. P. Berman, Nibu, Y., Pfeiffer, B. D., Tomancak, P., Celniker, S. E., Levine, M., Rubin, G. M., and Eisen, M. B., Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome., Proc Natl Acad Sci U S A, vol. 99, no. 2, pp. 757-62, 2002.
J. V. Schmidt, Matteson, P. G., Jones, B. K., Guan, X. J., and Tilghman, S. M., The Dlk1 and Gtl2 genes are linked and reciprocally imprinted., Genes Dev, vol. 14, no. 16, pp. 1997-2002, 2000.
T. Gregor, Bialek, W., van Steveninck, R. R. de Ruyte, Tank, D. W., and Wieschaus, E. F., Diffusion and scaling during early embryonic pattern formation., Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18403-7, 2005.
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
L. L. Sandell, Guan, X. - J., Ingram, R., and Tilghman, S. M., Gatm, a creatine synthesis enzyme, is imprinted in mouse placenta., Proc Natl Acad Sci U S A, vol. 100, no. 8, pp. 4622-7, 2003.
S. D. Kocher, Tsuruda, J. M., Gibson, J. D., Emore, C. M., Arechavaleta-Velasco, M. E., Queller, D. C., Strassmann, J. E., Grozinger, C. M., Gribskov, M. R., San Miguel, P., Westerman, R., and Hunt, G. J., A Search for Parent-of-Origin Effects on Honey Bee Gene Expression., G3 (Bethesda), vol. 5, no. 8, pp. 1657-62, 2015.
C. D. van Raamsdonk and Tilghman, S. M., Optimizing the detection of nascent transcripts by RNA fluorescence in situ hybridization., Nucleic Acids Res, vol. 29, no. 8, pp. E42-2, 2001.
P. B. Vrana, Fossella, J. A., Matteson, P., del Rio, T., O'Neill, M. J., and Tilghman, S. M., Genetic and epigenetic incompatibilities underlie hybrid dysgenesis in Peromyscus., Nat Genet, vol. 25, no. 1, pp. 120-4, 2000.
S. R. Browning, Browning, B. L., Zhou, Y., Tucci, S., and Akey, J. M., Analysis of Human Sequence Data Reveals Two Pulses of Archaic Denisovan Admixture., Cell, vol. 173, no. 1, pp. 53-61.e9, 2018.
M. Levine and Tjian, R., Transcription regulation and animal diversity., Nature, vol. 424, no. 6945, pp. 147-51, 2003.
L. J. Kurihara, Semenova, E., Levorse, J. M., and Tilghman, S. M., Expression and functional analysis of Uch-L3 during mouse development., Mol Cell Biol, vol. 20, no. 7, pp. 2498-504, 2000.
B. T. Spear and Tilghman, S. M., Role of alpha-fetoprotein regulatory elements in transcriptional activation in transient heterokaryons., Mol Cell Biol, vol. 10, no. 10, pp. 5047-54, 1990.
J. M. Rossi, Burke, D. T., Leung, J. C., Koos, D. S., Chen, H., and Tilghman, S. M., Genomic analysis using a yeast artificial chromosome library with mouse DNA inserts., Proc Natl Acad Sci U S A, vol. 89, no. 6, pp. 2456-60, 1992.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
S. M. Tilghman, Bartolomei, M. S., Webber, A. L., Brunkow, M. E., Saam, J., Leighton, P. A., Pfeifer, K., and Zemel, S., Parental imprinting of the H19 and Igf2 genes in the mouse., Cold Spring Harb Symp Quant Biol, vol. 58, pp. 287-95, 1993.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
M. A. Lanaspa, Andres-Hernando, A., Orlicky, D. J., Cicerchi, C., Jang, C., Li, N., Milagres, T., Kuwabara, M., Wempe, M. F., Rabinowitz, J. D., Johnson, R. J., and Tolan, D. R., Ketohexokinase C blockade ameliorates fructose-induced metabolic dysfunction in fructose-sensitive mice., J Clin Invest, vol. 128, no. 6, pp. 2226-2238, 2018.
R. Godbout and Tilghman, S. M., Configuration of the alpha-fetoprotein regulatory domain during development., Genes Dev, vol. 2, no. 8, pp. 949-56, 1988.
J. O. Dubuis, Tkačik, G., Wieschaus, E. F., Gregor, T., and Bialek, W., Positional information, in bits., Proc Natl Acad Sci U S A, vol. 110, no. 41, pp. 16301-8, 2013.
A. T. Hark, Schoenherr, C. J., Katz, D. J., Ingram, R. S., Levorse, J. M., and Tilghman, S. M., CTCF mediates methylation-sensitive enhancer-blocking activity at the H19/Igf2 locus., Nature, vol. 405, no. 6785, pp. 486-9, 2000.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
T. P. O'Brien, Metallinos, D. L., Chen, H., Shin, M. K., and Tilghman, S. M., Complementation mapping of skeletal and central nervous system abnormalities in mice of the piebald deletion complex., Genetics, vol. 143, no. 1, pp. 447-61, 1996.
J. P. Roose, Diehn, M., Tomlinson, M. G., Lin, J., Alizadeh, A. A., Botstein, D., Brown, P. O., and Weiss, A., T cell receptor-independent basal signaling via Erk and Abl kinases suppresses RAG gene expression., PLoS Biol, vol. 1, no. 2, p. E53, 2003.

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