Title | Finding Our Way through Phenotypes |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Deans, AR, Lewis, SE, Huala, E, Anzaldo, SS, Ashburner, M, Balhoff, JP, Blackburn, DC, Blake, JA, J. Burleigh, G, Chanet, B, Cooper, LD, Courtot, M, Csösz, S, Cui, H, Dahdul, W, Das, S, T. Dececchi, A, Dettai, A, Diogo, R, Druzinsky, RE, Dumontier, M, Franz, NM, Friedrich, F, Gkoutos, GV, Haendel, M, Harmon, LJ, Hayamizu, TF, He, Y, Hines, HM, Ibrahim, N, Jackson, LM, Jaiswal, P, James-Zorn, C, Köhler, S, Lecointre, G, Lapp, H, Lawrence, CJ, Le Novère, N, Lundberg, JG, Macklin, J, Mast, AR, Midford, PE, Mikó, I, Mungall, CJ, Oellrich, A, Osumi-Sutherland, D, Parkinson, H, Ramírez, MJ, Richter, S, Robinson, PN, Ruttenberg, A, Schulz, KS, Segerdell, E, Seltmann, KC, Sharkey, MJ, Smith, AD, Smith, B, Specht, CD, R. Squires, B, Thacker, RW, Thessen, A, Fernandez-Triana, J, Vihinen, M, Vize, PD, Vogt, L, Wall, CE, Walls, RL, Westerfeld, M, Wharton, RA, Wirkner, CS, Woolley, JB, Yoder, MJ, Zorn, AM, Mabee, P |
Journal | PLoS Biol |
Volume | 13 |
Pagination | e1002033 |
Date Published | 01 |
Abstract |
Imagine if we could compute across phenotype data as easily as genomic data; this article calls for efforts to realize this vision and discusses the potential benefits. |
URL | http://dx.doi.org/10.1371%2Fjournal.pbio.1002033 |
DOI | 10.1371/journal.pbio.1002033 |