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.
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.
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.
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.
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. 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. 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.
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
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.
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.
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.
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.
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
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.
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.
M. D. Chikina and Troyanskaya, O. G., An effective statistical evaluation of ChIPseq dataset similarity., Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
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, 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.
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.
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, 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. 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.
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.
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.
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.
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.
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, 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. 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.
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.
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.
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.
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.
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. 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. 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.
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.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
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.
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
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. 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.
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.
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, 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.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
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.
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, 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. -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.
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.
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.
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.
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.
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.
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.
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.
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.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
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.
C. Huttenhower and Troyanskaya, O. G., Assessing the functional structure of genomic data., Bioinformatics, vol. 24, no. 13, pp. i330-8, 2008.
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.
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. 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.
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. 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.
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.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 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.
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.
Alleles
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.
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. 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.
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.
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.
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.
N. S. Tolwinski and Wieschaus, E., A nuclear function for armadillo/beta-catenin., PLoS Biol, vol. 2, no. 4, p. E95, 2004.
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.
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.
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.
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.
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.
alpha-Fetoproteins
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. 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.
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. 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.
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. 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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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
M. Tipping, Kim, Y., Kyriakakis, P., Tong, M., Shvartsman, S. Y., and Veraksa, A., β-arrestin Kurtz inhibits MAPK and Toll signalling in Drosophila development., EMBO J, vol. 29, no. 19, pp. 3222-35, 2010.
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.
L. Wang, Xing, X., Zeng, X., S Jackson, R. E., TeSlaa, T., Al-Dalahmah, O., Samarah, L. Z., Goodwin, K., Yang, L., McReynolds, M. R., Li, X., Wolff, J. J., Rabinowitz, J. D., and Davidson, S. M., Spatially resolved isotope tracing reveals tissue metabolic activity., Nat Methods, vol. 19, no. 2, pp. 223-230, 2022.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
J. D. Jensen, Thornton, K. R., and Andolfatto, P., An approximate bayesian estimator suggests strong, recurrent selective sweeps in Drosophila., PLoS Genet, vol. 4, no. 9, p. e1000198, 2008.
J. S. Kanodia, Kim, Y., Tomer, R., Khan, Z., Chung, K., Storey, J. D., Lu, H., Keller, P. J., and Shvartsman, S. Y., A computational statistics approach for estimating the spatial range of morphogen gradients., Development, vol. 138, no. 22, pp. 4867-74, 2011.
T. J. Vasicek, Zeng, L., Guan, X. J., Zhang, T., Costantini, F., and Tilghman, S. M., Two dominant mutations in the mouse fused gene are the result of transposon insertions., Genetics, vol. 147, no. 2, pp. 777-86, 1997.
J. J. Kamphorst, Cross, J. R., Fan, J., de Stanchina, E., Mathew, R., White, E. P., Thompson, C. B., and Rabinowitz, J. D., Hypoxic and Ras-transformed cells support growth by scavenging unsaturated fatty acids from lysophospholipids., Proc Natl Acad Sci U S A, vol. 110, no. 22, pp. 8882-7, 2013.
G. Tkačik, Walczak, A. M., and Bialek, W., Optimizing information flow in small genetic networks., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 80, no. 3 Pt 1, p. 031920, 2009.
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
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.
O. G. Vukmirovic and Tilghman, S. M., Exploring genome space., Nature, vol. 405, no. 6788, pp. 820-2, 2000.
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.
Y. Guan, Gorenshteyn, D., Burmeister, M., Wong, A. K., Schimenti, J. C., Handel, M. Ann, Bult, C. J., Hibbs, M. A., and Troyanskaya, O. G., Tissue-specific functional networks for prioritizing phenotype and disease genes., PLoS Comput Biol, vol. 8, no. 9, p. e1002694, 2012.
T. Gregor, Tank, D. W., Wieschaus, E. F., and Bialek, W., Probing the limits to positional information., Cell, vol. 130, no. 1, pp. 153-64, 2007.
R. Lu, Markowetz, F., Unwin, R. D., Leek, J. T., Airoldi, E. M., MacArthur, B. D., Lachmann, A., Rozov, R., Ma'ayan, A., Boyer, L. A., Troyanskaya, O. G., Whetton, A. D., and Lemischka, I. R., Systems-level dynamic analyses of fate change in murine embryonic stem cells., Nature, vol. 462, no. 7271, pp. 358-62, 2009.
N. S. Tolwinski and Wieschaus, E., A nuclear function for armadillo/beta-catenin., PLoS Biol, vol. 2, no. 4, p. E95, 2004.
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. 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. 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.
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.
T. Caspary, Cleary, M. A., Baker, C. C., Guan, X. J., and Tilghman, S. M., Multiple mechanisms regulate imprinting of the mouse distal chromosome 7 gene cluster., Mol Cell Biol, vol. 18, no. 6, pp. 3466-74, 1998.
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.
C. S. Greene and Troyanskaya, O. G., Integrative systems biology for data-driven knowledge discovery., Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
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.
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.
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.
Y. Kim, Andreu, M. José, Lim, B., Chung, K., Terayama, M., Jiménez, G., Berg, C. A., Lu, H., and Shvartsman, S. Y., Gene regulation by MAPK substrate competition., Dev Cell, vol. 20, no. 6, pp. 880-7, 2011.
S. De Renzis, Elemento, O., Tavazoie, S., and Wieschaus, E. F., Unmasking activation of the zygotic genome using chromosomal deletions in the Drosophila embryo., PLoS Biol, vol. 5, no. 5, p. e117, 2007.

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