Detalhe da pesquisa
1.
Evaluation of drug susceptibility profile of Mycobacterium tuberculosis Lineage 1 from Brazil based on whole genome sequencing and phenotypic methods.
Mem Inst Oswaldo Cruz
; 115: e200520, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33533871
2.
Whole genome sequence of Mycobacterium kansasii isolates of the genotype 1 from Brazilian patients with pulmonary disease demonstrates considerable heterogeneity.
Mem Inst Oswaldo Cruz
; 113(9): e180085, 2018 Jun 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-29947722
3.
Description of new species of Mycobacterium terrae complex isolated from sewage at the São Paulo zoological park foundation in Brazil.
Front Microbiol
; 15: 1335985, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38322314
4.
Outbreak report of polymyxin-carbapenem-resistant Klebsiella pneumoniae causing untreatable infections evidenced by synergy tests and bacterial genomes.
Sci Rep
; 13(1): 6238, 2023 04 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37069157
5.
Uncovering Pseudogenes and Intergenic Protein-coding Sequences in TriTryps' Genomes.
Genome Biol Evol
; 14(10)2022 10 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36208292
6.
Tuberculosis drug resistance profiling based on machine learning: A literature review.
Braz J Infect Dis
; 26(1): 102332, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35176257
7.
Whole-Genome Sequences of Mycobacterium abscessus subsp. massiliense Isolates from Brazil.
Microbiol Resour Announc
; 10(28): e0036121, 2021 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34264116
8.
A Murine Model of Mycobacterium kansasii Infection Reproducing Necrotic Lung Pathology Reveals Considerable Heterogeneity in Virulence of Clinical Isolates.
Front Microbiol
; 12: 718477, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34504483
9.
Whole-Genome Sequencing of Alcaligenes faecalis HZ01, with Potential to Inhibit Nontuberculous Mycobacterial Growth.
Microbiol Resour Announc
; 10(39): e0052121, 2021 Sep 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-34591668
10.
Tuberculosis drug resistance profiling based on machine learning: a literature review
SHARMA, Abhinav et al. Tuberculosis drug resistance profiling based on machine learning: a literature review. Brazilian Journal of Infectious Diseases, v. 26, n. 1, p. 1-9, Jan./Feb. 2022.
Artigo
em Inglês
| Instituto Evandro Chagas (DSpace) | ID: ied-4534
11.
Tuberculosis drug resistance profiling based on machine learning: A literature review
Braz. j. infect. dis
; 26(1): 102332, 2022. graf
Artigo
em Inglês
|
LILACS-Express
| ID: biblio-1364546
12.
Whole-genome sequencing of alcaligenes faecalis HZ01, with potential to inhibit nontuberculous mycobacterial growth
FERNANDES, Henry Marcel Zolona et al. Whole-genome sequencing of alcaligenes faecalis HZ01, with potential to inhibit nontuberculous mycobacterial growth. Microbiology Resource Announcements, v. 10, n. 39, p. 1-3, Sept. 2021.
Artigo
em Inglês
| Instituto Evandro Chagas (DSpace) | ID: ied-4461
13.
Evaluation of drug susceptibility profile of mycobacterium tuberculosis lineage 1 from brazil based on whole genome sequencing and phenotypic methods
GUIMARÃES, Arthur Emil dos Santos et al. Evaluation of drug susceptibility profile of mycobacterium tuberculosis lineage 1 from brazil based on whole genome sequencing and phenotypic methods. Memórias do Instituto Oswaldo Cruz, v. 115, e200250, p. 1-6, Nov. 2020.
Artigo
em Inglês
| Instituto Evandro Chagas (DSpace) | ID: ied-4220
14.
Whole genome sequence of Mycobacterium kansasii isolates of the genotype 1 from Brazilian patients with pulmonary disease demonstrates considerable heterogeneity
Mem. Inst. Oswaldo Cruz
; 113(9): e180085, 2018. tab, graf
Artigo
em Inglês
| LILACS | ID: biblio-955125
15.
Complicaçöes do fechamento de colostomia / Complications of colostomy closure
Rev. Col. Bras. Cir
; 18(6): 240-3, nov.-dez. 1991. tab
Artigo
em Português
| LILACS | ID: lil-116536