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A research roadmap for next-generation sequencing informatics SCIENCE TRANSLATIONAL MEDICINEAltman, R. B., Prabhu, S., Sidow, A., Zook, J. M., Goldfeder, R., Litwack, D., Ashley, E., Asimenos, G., Bustamante, C. D., Donigan, K., Giacomini, K. M., Johansen, E., Khuri, N., Lee, E., Liang, X. S., Salit, M., Serang, O., Tezak, Z., Wall, D. P., Mansfield, E., Kass-Hout, T.All Authors2016; 8 (335)
Relating Essential Proteins to Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach. Journal of chemical information and modelingLiu, T., Altman, R. B.2015; 55 (7): 1483-1494
Learning the Structure of Biomedical Relationships from Unstructured Text. PLoS computational biologyPercha, B., Altman, R. B.2015; 11 (7)
Translational Bioinformatics: Linking the Molecular World to the Clinical World CLINICAL PHARMACOLOGY & THERAPEUTICSAltman, R. B.2012; 91 (6): 994-1000
Data-Driven Prediction of Drug Effects and Interactions SCIENCE TRANSLATIONAL MEDICINETatonetti, N. P., Ye, P. P., Daneshjou, R., Altman, R. B.2012; 4 (125)
Clinical assessment incorporating a personal genome LANCETAshley, E. A., Butte, A. J., Wheeler, M. T., Chen, R., Klein, T. E., Dewey, F. E., Dudley, J. T., Ormond, K. E., Pavlovic, A., Morgan, A. A., Pushkarev, D., Neff, N. F., Hudgins, L., Gong, L., Hodges, L. M., Berlin, D. S., Thorn, C. F., Sangkuhl, K., Hebert, J. M., Woon, M., Sagreiya, H., Whaley, R., Knowles, J. W., Chou, M. F., Thakuria, J. V., Rosenbaum, A. M., Zaranek, A. W., Church, G. M., Greely, H. T., Quake, S. R., Altman, R. B.All Authors2010; 375 (9725): 1525-1535
Estimation of the Warfarin Dose with Clinical and Pharmacogenetic Data NEW ENGLAND JOURNAL OF MEDICINEKlein, T. E., Altman, R. B., Eriksson, N., Gage, B. F., Kimmel, S. E., Lee, M. M., Limdi, N. A., Page, D., Roden, D. M., Wagner, M. J., Caldwell, M. D., Johnson, J. A., Chen, Y. T., Wen, M. S., Caraco, Y., Achache, I., Blotnick, S., Muszkat, M., Shin, J. G., Kim, H. S., Suarez-Kurtz, G., Perini, J. A., Silva-Assuncao, E., Anderson, J. L., Horne, B. D., Carlquist, J. F., Caldwell, M. D., Berg, R. L., Burmester, J. K., Goh, B. C., Lee, S. C., Kamali, F., Sconce, E., Daly, A. K., Wu, A. H., Langaee, T. Y., Feng, H., Cavallari, L., Momary, K., Pirmohamed, M., Jorgensen, A., Toh, C. H., Williamson, P., McLeod, H., Evans, J. P., Weck, K. E., Brensinger, C., Nakamura, Y., Mushiroda, T., Veenstra, D., Meckley, L., Rieder, M. J., Rettie, A. E., Wadelius, M., Melhus, H., Stein, C. M., Schwartz, U., Kurnik, D., Deych, E., Lenzini, P., Eby, C., Chen, L. Y., Deloukas, P., Motsinger-Reif, A., Sagreiya, H., Srinivasan, B. S., Lantz, E., Chang, T., Ritchie, M., Lu, L. S., Shin, J. G.All Authors2009; 360 (8): 753-764
PharmGKB summary: very important pharmacogene information for MT-RNR1. Pharmacogenetics and genomicsBarbarino, J. M., McGregor, T. L., Altman, R. B., Klein, T. E.2016; 26 (12): 558-567
Imputing Gene Expression to Maximize Platform Compatibility. BioinformaticsZhou, W., Han, L., Altman, R. B.2016
Estimation of Maximum Recommended Therapeutic Dose Using Predicted Promiscuity and Potency. Clinical and translational scienceLiu, T., Oprea, T., Ursu, O., Hasselgren, C., Altman, R. B.2016