Temperatura superficial de isolantes térmicos e cortinas para a produção animal.

Projeto: 03.07.09.049

Avaliação do tempo de acionamento de aquecedor a diesel na temperatura e umidade do ar.

Projeto/Plano de Ação: 03.07.94.900-04

Avaliação da temperatura superficial de telhas por termografia.

Projeto: 11.11.11.111

Temperatura superficial de cortinas para aviários.

Projeto/Plano de Ação: 03.07.94.900-04

Processamento de imagens digitais para utilização no desenvolvimento de um software para estimar o peso de suínos vivos.

Projeto/Plano de Ação: 03.07.94.900-02

Coeficientes de cultivo e de irrigação para o caupi.

bitstream/item/72331/1/CPAMN-COM.-TEC.-9-93.pd

Evaluation of drug susceptibility profile of; Mycobacterium tuberculosis; lineage 1 from Brazil based on whole genome sequencing and phenotypic methods

BACKGROUND: The evaluation of procedures for drug susceptibility prediction of Mycobacterium tuberculosis based on genomic data against the conventional reference method test based on culture is realistic considering the scenario of growing number of tools proposals based on whole-genome sequences (WGS). OBJECTIVES: This study aimed to evaluate drug susceptibility testing (DST) outcome based on WGS tools and the phenotypic methods performed on isolates of M. tuberculosis Lineage 1 from the state of Para, Brazil, generally associated with low levels of drug resistance. METHODOLOGY: Culture based DST was performed using the Proportion Method in Lowenstein-Jensen medium on 71 isolates that had been submitted to WGS. We analysed the seven main genome sequence-based tools for resistance and lineage prediction applied to M. tuberculosis and for comparison evaluation we have used the Kappa concordance test. FINDINGS: When comparing the WGS-based tools against the DST, we observed the highest level of agreement using TB-profiler. Among the tools, TB-profiler, KvarQ and Mykrobe were those which identified the largest number of TB-MDR cases. Comparing the four most sensitive tools regarding resistance prediction, agreement was observed for 43 genomes. MAIN CONCLUSIONS: Drug resistance profiling using next-generation sequencing offers rapid assessment of resistance-associated mutations, therefore facilitating rapid access to effective treatment