Imagen de Portada

Modeling Microbial Growth Curves with GCAT

Guardado en:
Publicado en:Bioenergy Research vol. 8, no. 3 (Sep 2015), p. 1022
Autor principal: Bukhman, Yury V
Otros Autores: Dipiazza, Nathan W, Piotrowski, Jeff, Shao, Jason, Halstead, Adam G; W, Bui, Minh Duc, Xie, Enhai, Sato, Trey K
Publicado:
Springer Nature B.V.
Materias:
United States > US
Studies
Bioenergetics
Cellular biology
Software packages
Computer based modeling
Web browsers
Glucose
User interface
Software
Growth models
Metadata
Public domain
Yeast
Environmental
Acceso en línea:Citation/Abstract
Full Text
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Resumen:Issue Title: The US Department of Energy Bioenergy Research Centers: The First 7 Years In this work, we introduce the Growth Curve Analysis Tool (GCAT). GCAT is designed to enable efficient analysis of high-throughput microbial growth curve data collected from cultures grown in microtiter plates. GCAT is accessible through a web browser, making it easy to use and operating system independent. GCAT implements fitting of global sigmoid curve models and local regression (LOESS) model. We assess the relative merits of these approaches using experimental data. Additionally, GCAT implements heuristics to deal with some peculiarities of growth curve data commonly encountered in bioenergy research. GCAT server is publicly available at http://gcat-pub.glbrc.org/. The source code is available at http://code.google.com/p/gcat-hts/.
ISSN:1939-1234
1939-1242
DOI:10.1007/s12155-015-9584-3
Fuente:ABI/INFORM Global