• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Dashing Growth Curves:一个用于快速交互分析微生物生长曲线的网络应用程序。

Dashing Growth Curves: a web application for rapid and interactive analysis of microbial growth curves.

机构信息

Department of Biology, Institute of Microbiology, ETH Zurich, 8093, Zurich, Switzerland.

出版信息

BMC Bioinformatics. 2024 Feb 12;25(1):67. doi: 10.1186/s12859-024-05692-y.

DOI:10.1186/s12859-024-05692-y
PMID:38347472
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10863085/
Abstract

BACKGROUND

Recording and analyzing microbial growth is a routine task in the life sciences. Microplate readers that record dozens to hundreds of growth curves simultaneously are increasingly used for this task raising the demand for their rapid and reliable analysis.

RESULTS

Here, we present Dashing Growth Curves, an interactive web application ( http://dashing-growth-curves.ethz.ch/ ) that enables researchers to quickly visualize and analyze growth curves without the requirement for coding knowledge and independent of operating system. Growth curves can be fitted with parametric and non-parametric models or manually. The application extracts maximum growth rates as well as other features such as lag time, length of exponential growth phase and maximum population size among others. Furthermore, Dashing Growth Curves automatically groups replicate samples and generates downloadable summary plots for of all growth parameters.

CONCLUSIONS

Dashing Growth Curves is an open-source web application that reduces the time required to analyze microbial growth curves from hours to minutes.

摘要

背景

记录和分析微生物生长是生命科学中的一项常规任务。越来越多的微孔板读数器用于同时记录数十到数百个生长曲线,这提高了对其快速可靠分析的需求。

结果

在这里,我们介绍了 Dashing Growth Curves,这是一个交互式网络应用程序(http://dashing-growth-curves.ethz.ch/),它使研究人员能够快速可视化和分析生长曲线,而无需编码知识,并且与操作系统无关。可以使用参数和非参数模型对生长曲线进行拟合,也可以手动进行拟合。该应用程序提取最大生长速率以及其他特征,例如滞后时间、指数生长阶段的长度和最大种群大小等。此外,Dashing Growth Curves 会自动对重复样本进行分组,并为所有生长参数生成可下载的摘要图。

结论

Dashing Growth Curves 是一个开源的网络应用程序,可将分析微生物生长曲线所需的时间从数小时缩短到数分钟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/ece020b7e824/12859_2024_5692_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/f2399e0b74ce/12859_2024_5692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/7619381a4583/12859_2024_5692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/c53b686fc24e/12859_2024_5692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/cbfc9532f1c4/12859_2024_5692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/bf545407ec61/12859_2024_5692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/9b07df22222f/12859_2024_5692_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/ece020b7e824/12859_2024_5692_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/f2399e0b74ce/12859_2024_5692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/7619381a4583/12859_2024_5692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/c53b686fc24e/12859_2024_5692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/cbfc9532f1c4/12859_2024_5692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/bf545407ec61/12859_2024_5692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/9b07df22222f/12859_2024_5692_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e1/10863085/ece020b7e824/12859_2024_5692_Fig7_HTML.jpg

相似文献

1
Dashing Growth Curves: a web application for rapid and interactive analysis of microbial growth curves.Dashing Growth Curves:一个用于快速交互分析微生物生长曲线的网络应用程序。
BMC Bioinformatics. 2024 Feb 12;25(1):67. doi: 10.1186/s12859-024-05692-y.
2
Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA.开发一个交互式网络工具,用于进行和查询诊断测试准确性研究的荟萃分析:MetaDTA。
BMC Med Res Methodol. 2019 Apr 18;19(1):81. doi: 10.1186/s12874-019-0724-x.
3
Growth curve prediction from optical density data.从光密度数据预测生长曲线。
Int J Food Microbiol. 2012 Mar 15;154(3):169-76. doi: 10.1016/j.ijfoodmicro.2011.12.035. Epub 2012 Jan 4.
4
Dashing: fast and accurate genomic distances with HyperLogLog.使用 HyperLogLog 实现快速准确的基因组距离计算。
Genome Biol. 2019 Dec 4;20(1):265. doi: 10.1186/s13059-019-1875-0.
5
Microbial growth curves: what the models tell us and what they cannot.微生物生长曲线:模型告诉我们什么以及它们不能告诉我们什么。
Crit Rev Food Sci Nutr. 2011 Dec;51(10):917-45. doi: 10.1080/10408398.2011.570463.
6
Development of a program to fit data to a new logistic model for microbial growth.开发一个将数据拟合到微生物生长新逻辑模型的程序。
Biocontrol Sci. 2009 Jun;14(2):83-6. doi: 10.4265/bio.14.83.
7
On the lag phase and initial decline of microbial growth curves.关于微生物生长曲线的延迟期和初始下降阶段。
J Theor Biol. 2007 Feb 7;244(3):511-7. doi: 10.1016/j.jtbi.2006.08.017. Epub 2006 Sep 1.
8
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves.Growthcurver:一个用于从微生物生长曲线获取可解释指标的R软件包。
BMC Bioinformatics. 2016 Apr 19;17:172. doi: 10.1186/s12859-016-1016-7.
9
pROC: an open-source package for R and S+ to analyze and compare ROC curves.pROC:一个用于 R 和 S+的开源软件包,用于分析和比较 ROC 曲线。
BMC Bioinformatics. 2011 Mar 17;12:77. doi: 10.1186/1471-2105-12-77.
10
Dynamic assessment of microbial ecology (DAME): a web app for interactive analysis and visualization of microbial sequencing data.动态评估微生物生态学 (DAME):一个用于交互式分析和可视化微生物测序数据的网络应用程序。
Bioinformatics. 2018 Mar 15;34(6):1050-1052. doi: 10.1093/bioinformatics/btx686.

引用本文的文献

1
Welly: a web-tool for visualizing growth curves from microplate data.Welly:一款用于可视化微孔板数据生长曲线的网络工具。
Bioinform Adv. 2025 Mar 4;5(1):vbaf038. doi: 10.1093/bioadv/vbaf038. eCollection 2025.
2
Characterizing A21: Natural Cyanobacteria-Based Consortium with Potential for Steroid Bioremediation in Wastewater Treatment.A21的特性:基于天然蓝藻的菌群在废水处理中具有甾体生物修复潜力
Int J Mol Sci. 2024 Dec 4;25(23):13018. doi: 10.3390/ijms252313018.
3
A multidimensional assessment of in-host fitness costs of drug resistance in the opportunistic fungal pathogen Candida glabrata.

本文引用的文献

1
QurvE: user-friendly software for the analysis of biological growth and fluorescence data.QurvE:用于分析生物生长和荧光数据的用户友好型软件。
Nat Protoc. 2023 Aug;18(8):2401-2403. doi: 10.1038/s41596-023-00850-7.
2
Array programming with NumPy.使用 NumPy 进行数组编程。
Nature. 2020 Sep;585(7825):357-362. doi: 10.1038/s41586-020-2649-2. Epub 2020 Sep 16.
3
SciPy 1.0: fundamental algorithms for scientific computing in Python.SciPy 1.0:Python 中的科学计算基础算法。
对机会性真菌病原体光滑念珠菌耐药性的宿主适应性代价的多维评估。
FEMS Yeast Res. 2024 Jan 9;24. doi: 10.1093/femsyr/foae035.
4
Two dynamic N-terminal regions are required for function in ribosomal RNA adenine dimethylase family members.核糖体RNA腺嘌呤二甲基化酶家族成员发挥功能需要两个动态的N端区域。
RNA. 2025 Jan 22;31(2):164-180. doi: 10.1261/rna.080068.124.
5
Characteristics and pathogenicity of SWS causing high mortality in mud crab () aquaculture in Hong Kong.香港泥蟹养殖中导致高死亡率的 SWS 的特征和致病性。
Front Cell Infect Microbiol. 2024 Jul 23;14:1425104. doi: 10.3389/fcimb.2024.1425104. eCollection 2024.
6
gcplyr: an R package for microbial growth curve data analysis.gcplyr:一个用于微生物生长曲线数据分析的 R 包。
BMC Bioinformatics. 2024 Jul 9;25(1):232. doi: 10.1186/s12859-024-05817-3.
7
A synthetic methylotrophic as a chassis for bioproduction from methanol.一种合成甲基营养型生物作为从甲醇进行生物生产的底盘。
Nat Catal. 2024;7(5):560-573. doi: 10.1038/s41929-024-01137-0. Epub 2024 Apr 23.
Nat Methods. 2020 Mar;17(3):261-272. doi: 10.1038/s41592-019-0686-2. Epub 2020 Feb 3.
4
PMAnalyzer: a new web interface for bacterial growth curve analysis.PMAnalyzer:一种用于细菌生长曲线分析的新型网络界面。
Bioinformatics. 2017 Jun 15;33(12):1905-1906. doi: 10.1093/bioinformatics/btx084.
5
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves.Growthcurver:一个用于从微生物生长曲线获取可解释指标的R软件包。
BMC Bioinformatics. 2016 Apr 19;17:172. doi: 10.1186/s12859-016-1016-7.
6
Growth rates made easy.轻松计算增长率。
Mol Biol Evol. 2014 Jan;31(1):232-8. doi: 10.1093/molbev/mst187. Epub 2013 Oct 28.
7
Modeling of the bacterial growth curve.细菌生长曲线的建模。
Appl Environ Microbiol. 1990 Jun;56(6):1875-81. doi: 10.1128/aem.56.6.1875-1881.1990.
8
Comparison of definitions of the lag phase and the exponential phase in bacterial growth.细菌生长中延滞期和指数期定义的比较。
J Appl Bacteriol. 1992 Feb;72(2):139-45. doi: 10.1111/j.1365-2672.1992.tb01815.x.