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1.
Microbiol Resour Announc ; 11(11): e0080522, 2022 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-36301118

RESUMO

We report the discovery and genome sequences of three FH cluster actinophage infecting Arthrobacter globiformis B2979. Lilmac1015 and Klevey were isolated from riverbank soil and Prairie from soil collected below a tree. Their respective genome lengths are 49,978, 50,075, and 49,392 bp, with 80, 81, and 78 predicted protein-coding genes.

2.
Microbiol Resour Announc ; 10(41): e0077621, 2021 Oct 14.
Artigo em Inglês | MEDLINE | ID: mdl-34647808

RESUMO

We report the discovery and genome sequence of phage Adumb2043, a siphovirus infecting Arthrobacter globiformis, B2979-SEA. Adumb2043 was isolated from soil collected in Colorado Springs, Colorado. The genome has a length of 43,100 bp and contains 68 predicted protein-coding genes and no tRNA genes. Adumb2043 is related to actinobacteriophages Elezi and London.

3.
BMC Musculoskelet Disord ; 4: 4, 2003 Mar 20.
Artigo em Inglês | MEDLINE | ID: mdl-12659650

RESUMO

BACKGROUND: The purpose of this study is to present an automated system that analyzes digitized x-ray images of small animal spines identifying the effects of disc degeneration. The age-related disc and spine degeneration that occurs in the sand rat (Psammomys obesus) has previously been documented radiologically; selected representative radiographs with age-related changes were used here to develop computer-assisted vertebral visualization/analysis techniques. Techniques presented here have the potential to produce quantitative algorithms that create more accurate and informative measurements in a time efficient manner. METHODS: Signal and image processing techniques were applied to digitized spine x-ray images the spine was segmented, and orientation and curvature determined. The image was segmented based on orientation changes of the spine; edge detection was performed to define vertebral boundaries. Once vertebrae were identified, a number of measures were introduced and calculated to retrieve information on the vertebral separation/orientation and sclerosis. RESULTS: A method is described which produces computer-generated quantitative measurements of vertebrae and disc spaces. Six sand rat spine radiographs illustrate applications of this technique. Results showed that this method can successfully automate calculation and analysis of vertebral length, vertebral spacing, vertebral angle, and can score sclerosis. Techniques also provide quantitative means to explore the relation between age and vertebral shape. CONCLUSIONS: This method provides a computationally efficient system to analyze spinal changes during aging. Techniques can be used to automate the quantitative processing of vertebral radiographic images and may be applicable to human and other animal radiologic models of the aging/degenerating spine.


Assuntos
Modelos Animais de Doenças , Gerbillinae , Interpretação de Imagem Assistida por Computador/métodos , Disco Intervertebral/diagnóstico por imagem , Disco Intervertebral/patologia , Doenças da Coluna Vertebral/diagnóstico por imagem , Envelhecimento/patologia , Animais , Processamento de Imagem Assistida por Computador/métodos , Projetos Piloto , Radiografia
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