Výsledky vyhledávání

Survey and Summary: How data analysis affects power, reproducibility and biological insight of RNA-seq studies in complex datasets

Autor: Peixoto, L, Risso, D, Poplawski, SG, Wimmer, ME, Speed, TP, Wood, MA, Abel, T

Publikováno v: Peixoto, L; Risso, D; Poplawski, SG; Wimmer, ME; Speed, TP; Wood, MA; et al.(2015). Survey and Summary: How data analysis affects power, reproducibility and biological insight of RNA-seq studies in complex datasets. Nucleic Acids Research, 43(16), 7664-7674. doi: 10.1093/nar/gkv736. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1wv6q1w0

© 2015 The Author(s). The sequencing of the full transcriptome (RNA-seq) has become the preferred choice for the measurement of genome-wide gene expression. Despite its widespread use, challenges remain in RNA-seq data analysis. One often-overlooked

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::007643bf0d7287c0adcf5404efded83d
http://www.escholarship.org/uc/item/1wv6q1w0

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Integrated genomic analyses of ovarian carcinoma

Autor: Bell, D, Berchuck, A, Birrer, M, Chien, J, Cramer, DW, Dao, F, Dhir, R, DiSaia, P, Gabra, H, Glenn, P, Godwin, AK, Triche, T, Berman, BP, Van den Berg, DJ, Buckley, J, Baylin, SB, Zhang, J, Spellman, PT, Purdom, E, Iacocca, M, Shelton, T, Voet, D, Neuvial, P, Bengtsson, H, Jakkula, LR, Durinck, S, Han, J, Dorton, S, Marr, H, Zhang, H, Choi, YG, Wang, V, Wilkinson, J, Nguyen, H, Wang, NJ, Imielinski, M, Ngai, J, Conboy, JG, Parvin, B, Feiler, HS, Speed, TP, Gray, JW, Wu, CJ, Bloom, T, Levine, DA, Li, L, Socci, ND, Liang, Y, Taylor, BS, Kalloger, S, Schultz, N, Borsu, L, Lash, AE, Brennan, C, Ardlie, K, Viale, A, Shukla, S, Grimm, D, Sander, C, Ladanyi, M, Hoadley, KA, Meng, S, Du, Y, Karlan, BY, Shi, Y, Fennell, T, Cibulskis, K, Lawrence, MS, Meyerson, M, Hatfield, M, Mills, GB, Sivachenko, A, Jing, R, Park, RW, Liu, Y, Park, PJ, Ramos, AH, Noble, M, Chin, L, Carter, H, Kim, D, Morris, S, Winckler, W, Karchin, R, Morrison, C, Baldwin, J, Korkola, JE, Yena, P, Heiser, LM, Getz, G, Cho, RJ, Hu, Z, Gabriel, S, Mutch, D, Cerami, E, Rhodes, P, Olshen, A, Verhaak, RGW, Lander, ES, Reva, B, Antipin, Y, Shen, R, Olvera, N, Mankoo, P, Sheridan, R, Ciriello, G, Sherman, M, Chang, WK, Bernanke, JA, Hayes, DN, Carter, SL, Haussler, D, Orsulic, S, Benz, CC, Paulauskis, J, Stuart, JM, Zhang, N, Benz, SC, Sanborn, JZ, Vaske, CJ, Mermel, CH, Zhu, J, Szeto, C, Scott, GK, Yau, C, Rabeno, B, Ding, L, Park, K, Balu, S, Perou, CM, Saksena, G, Wilkerson, MD, Millis, S, Kahn, A, Turman, YJ, Fulton, RS, Onofrio, RC, Greene, JM, Sfeir, R, Jensen, MA, Chen, J, Whitmore, J, Alonso, S, Jordan, J, Chu, A, Rader, JS, Koboldt, DC, Zang, D, Gross, J, Barker, A, Compton, C, Eley, G, Ferguson, M, Fielding, P, Gerhard, DS, Myles, R, McLellan, MD, Schaefer, C, Helms, EB, Shaw, KRM, Sikic, BI, Vaught, J, Vockley, JB, Good, PJ, Guyer, MS, Ozenberger, B, Wylie, T, Peterson, J, Thomson, E, Smith-McCune, K, Sood, AK, Bowtell, D, Hubbard, D, Penny, R, Testa, JR, Chang, K, Walker, J, Dinh, HH, Drummond, JA, Fowler, G, Zhou, X, Gunaratne, P, Hawes, AC, Kovar, CL, Lewis, LR, Gupta, S, Morgan, MB, O'Laughlin, M, Newsham, IF, Santibanez, J, Reid, JG, Trevino, LR, Wu, J, Wu, Y-Q, Wang, M, Muzny, DM, Wheeler, DA, Gibbs, RA, Crenshaw, A, Sivachenko, AY, Topal, MD, Sougnez, C, Dooling, DJ, Fulton, L, Akbani, R, Abbott, R, Dees, ND, Zhang, Q, Kandoth, C, Wendl, M, Schierding, W, Shen, D, Harris, CC, Baggerly, KA, Schmidt, H, Wilson, RK, Kalicki, J, Delehaunty, KD, Fronick, CC, Demeter, R, Cook, L, Wallis, JW, Lin, L, Magrini, VJ, Yung, WK, Hodges, JS, Protopopov, A, Eldred, JM, Smith, SM, Pohl, CS, Vandin, F, Raphael, BJ, Weinstock, GM, Mardis, R, Kim, TM, Hartmann, L, Perna, I, Xiao, Y, Ren, G, Sathiamoorthy, N, Petrelli, N, Lee, E, Kucherlapati, R, Absher, DM, Huang, M, Waite, L, Sherlock, G, Brooks, JD, Li, JZ, Weinstein, JN, Xu, J, Myers, RM, Laird, PW, Cope, L, Herman, JG, Shen, H, Huntsman, DG, Weisenberger, DJ, Noushmehr, H, Pan, F

Publikováno v: PMC
Nature

A catalogue of molecular aberrations that cause ovarian cancer is critical for developing and deploying therapies that will improve patients’ lives. The Cancer Genome Atlas project has analysed messenger RNA expression, microRNA expression, promote

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a525d87ace4cdaf0efff1d814bd60d0
http://hdl.handle.net/1721.1/74091

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