Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Field-deployable viral diagnostics using CRISPR-Cas13

Autor: Myhrvold, Cameron, Freije, Catherine A., Gootenberg, Jonathan S., Abudayyeh, Omar O., Metsky, Hayden C., Durbin, Ann F., Kellner, Max J., Tan, Amanda L., Paul, Lauren M., Parham, Leda A., Garcia, Kimberly F., Barnes, Kayla G., Chak, Bridget, Mondini, Adriano, Nogueira, Mauricio L., Isern, Sharon, Michael, Scott F., Lorenzana, Ivette, Yozwiak, Nathan L., MacInnis, Bronwyn L., Bosch, Irene, Gehrke, Lee, Zhang, Feng, Sabeti, Pardis C.

Publikováno v: Science, 2018 Apr . 360(6387), 444-448.

Externí odkaz: https://www.jstor.org/stable/26498864

Capturing sequence diversity in metagenomes with comprehensive and scalable probe design

Autor: Metsky, Hayden C, Siddle, Katherine J, Gladden-Young, Adrianne, Qu, James, Yang, David K, Brehio, Patrick, Goldfarb, Andrew, Piantadosi, Anne, Wohl, Shirlee, Carter, Amber, Lin, Aaron E, Barnes, Kayla G, Tully, Damien C, Corleis, Bjӧrn, Hennigan, Scott, Barbosa-Lima, Giselle, Vieira, Yasmine R, Paul, Lauren M, Tan, Amanda L, Garcia, Kimberly F, Parham, Leda A, Odia, Ikponmwosa, Eromon, Philomena, Folarin, Onikepe A, Goba, Augustine, Viral Hemorrhagic Fever Consortium, Simon-Lorière, Etienne, Hensley, Lisa, Balmaseda, Angel, Harris, Eva, Kwon, Douglas S, Allen, Todd M, Runstadler, Jonathan A, Smole, Sandra, Bozza, Fernando A, Souza, Thiago ML, Isern, Sharon, Michael, Scott F, Lorenzana, Ivette, Gehrke, Lee, Bosch, Irene, Ebel, Gregory, Grant, Donald S, Happi, Christian T, Park, Daniel J, Gnirke, Andreas, Sabeti, Pardis C, Matranga, Christian B

Metagenomic sequencing has the potential to transform microbial detection and characterization, but new tools are needed to improve its sensitivity. Here we present CATCH, a computational method to enhance nucleic acid capture for enrichment of diver

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::f0c51db6a7078eb14302c4afcc81707e
https://researchonline.lshtm.ac.uk/id/eprint/4652489/1/biorxiv.pdf

Genome sequencing reveals Zika virus diversity and spread in the Americas

Autor: Metsky, Hayden C, Matranga, Christian B, Wohl, Shirlee, Schaffner, Stephen F., Freije, Catherine A, Winnicki, Sarah, West, Kendra, Qu, J, Baniecki, Mary Lynn, Gladden-Young, Adrianne, Lin, Aaron E., Christopher, Tomkins-Tinch, Ye, S.H, Park, Daniel J, Luo, Cynthia, Barnes, Kayla G, Shah, R.R., Chak, Bridget, Barbosa-Lima, G., Delatorre, E., Vieira, Y.R., Paul, Lauren M, Tan, Amanda L, Barcellona, Carolyn M, Porcelli, Mario C, Vasquez, Chalmers, Cannons, Andrew C, Cone, Marshall R, Hogan, Kelly N, Kopp IV, Edgar W, Anzinger, J.J., Garcia, K.F., Parhap, L.A., Gelvez Ramirez, R.M., Montoya, Miranda, Rojas, D.P., Brown, C.M., Hennigan, S., Sabina, B., Scotland, S., Gangavarapu, K., Grubaugh, N.D., Oliveira, G., Robles-Sikisaka, R., Rambaut, Andrew, Gehrke, L., Smole, S., Halloran, M.E., Villar Centeno, L.A., Mattar, S., Lorenzana, I., Cerbino-Neto, J., Valim, C., Degrave, W., Bozza, P.T., Souza, T.M.L., Bosch, I., Yozwiak, N.L., MacInnis, B.L., Sabeti, P.C.

Publikováno v: Metsky, H C, Matranga, C B, Wohl, S, Schaffner, S F, Freije, C A, Winnicki, S, West, K, Qu, J, Baniecki, M L, Gladden-Young, A, Lin, AE, Christopher, T-T, Ye, S H, Park, D J, Luo, C, Barnes, K G, Shah, R R, Chak, B, Barbosa-Lima, G, Delatorre, E, Vieira, Y R, Paul, L M, Tan, A L, Barcellona, C M, Porcelli, M C, Vasquez, C, Cannons, A C, Cone, M R, Hogan, K N, Kopp IV, E W, Anzinger, J J, Garcia, K F, Parhap, L A, Gelvez Ramirez, R M, Montoya, M, Rojas, D P, Brown, C M, Hennigan, S, Sabina, B, Scotland, S, Gangavarapu, K, Grubaugh, N D, Oliveira, G, Robles-Sikisaka, R, Rambaut, A, Gehrke, L, Smole, S, Halloran, M E, Villar Centeno, L A, Mattar, S, Lorenzana, I, Cerbino-Neto, J, Valim, C, Degrave, W, Bozza, P T, Souza, T M L, Bosch, I, Yozwiak, N L, MacInnis, B L & Sabeti, P C 2017, ' Genome sequencing reveals Zika virus diversity and spread in the Americas ', Nature, vol. 546, pp. 411–415 . https://doi.org/10.1038/nature22402

Despite great attention given to the recent Zika virus (ZIKV) epidemic in the Americas and its link to birth defects1,2, much remains unknown about ZIKV disease epidemiology and ZIKV evolution, in part due to a lack of genomic data. We applied multip

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3094::2c9939d5e39b58d79cf40d6927822cbd
https://hdl.handle.net/20.500.11820/8e61eebb-0015-4a86-8bee-0e00f9779df4

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.