Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alexander V. Kukhtin"'
Autor:
Rebecca E. Colman, Christopher Hagan, Peter Chiles, Marva Seifert, Donald G. Catanzaro, Alexander V. Kukhtin, Ryan Norville, Laura Hauns, Arial Bueno, Rebecca C. Holmberg, Christopher G. Cooney, Timothy C. Rodwell
Publikováno v:
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, Vol 27, Iss , Pp 100304- (2022)
While there has been progress in detection of drug resistant tuberculosis globally, WHO estimates only about half of the patients with bacteriologically confirmed tuberculosis were tested for rifampicin resistance over the past two years. To close th
Externí odkaz:
https://doaj.org/article/4609f1900a1b442aaa7aa0e9ac557218
Autor:
Rehan R. Syed, Donald G. Catanzaro, Rebecca E. Colman, Christopher G. Cooney, Yvonne Linger, Alexander V. Kukhtin, Rebecca C. Holmberg, Ryan Norville, Valeriu Crudu, Nelly Ciobanu, Alexandru Codreanu, Marva Seifert, Naomi Hillery, Peter Chiles, Antonino Catanzaro, Timothy C. Rodwell
Publikováno v:
Journal of Clinical Microbiology. 61
While the goal of universal drug susceptibility testing has been a key component of the WHO End TB Strategy, in practice, this remains inaccessible to many. Rapid molecular tests for tuberculosis (TB) and antituberculosis drug resistance could signif
Autor:
Alexander V, Kukhtin, Ryan, Norville, Arial, Bueno, Peter, Qu, Nicole, Parrish, Megan, Murray, Darrell P, Chandler, Rebecca C, Holmberg, Christopher G, Cooney
Publikováno v:
Anal Chem
Automated genotyping of drug-resistant Mycobacterium tuberculosis (MTB) directly from sputum is challenging for three primary reasons. First, the sample matrix – sputum – is highly viscous and heterogeneous, posing a challenge for sample processi
Autor:
Sergei G. Bavykin, Vladimir M. Mikhailovich, Vladimir M. Zakharyev, Yuri P. Lysov, John J. Kelly, Oleg S. Alferov, Igor M. Gavin, Alexander V. Kukhtin, Joany Jackman, David A. Stahl, Darrell Chandler, Andrei D. Mirzabekov
Publikováno v:
Chemico-biological interactions. 171(2)
Analysis of 16S rRNA sequences is a commonly used method for the identification and discrimination of microorganisms. However, the high similarity of 16S and 23S rRNA sequences of Bacillus cereus group organisms (up to 99-100%) and repeatedly failed