ADA: an open-source software platform for plotting and analysis of data from laboratory photobioreactors
ADA: an open-source software platform for plotting and analysis of data from laboratory photobioreactors
复制标题
ADA：用于绘制和分析实验室光生物反应器数据的开源软件平台
DOI：
10.1080/26388081.2021.2023632
复制
发表时间：
2022
影响因子：
--
通讯作者：
Mapstone L
中科院分区：
文献类型：
--
作者：
Mapstone L
藻类生物技术在过去二十年中在从生物燃料到药妆品的各个领域都受到了极大的关注。然而，用于商业应用的驯化或基因工程微藻菌株的开发取决于准确和可靠的生长数据。为此，几家公司已经开发出实验室规模的光生物反应器（PBRs），可以精确控制条件和自动记录生长。虽然从手动控制条件和测量到自动化系统的过渡使研究人员能够大大提高培养实验的准确性和范围，但也提出了新的挑战。其中最相关的是对所产生的大量数据进行分析。一个标准的PBR实验可能包含数万甚至数十万个数据点，并且通常具有离群值、噪声以及需要用标准曲线校准数据集或与重复数据合并的要求。此外，可能需要对多条曲线进行复杂分析，以便提取诸如梯度或拟合生长模型的信息。这可能是费力的，耗时的，并且在研究小组之间没有标准化。大多数PBR提供的专有软件往往缺乏这些更高级的功能，并且通常无法处理来自其他PBR制造商的数据。为了解决这些问题，我们开发了藻类数据分析仪（ADA），这是一个开源软件平台，提供了快速绘制和分析微藻数据的工具。ADA可以同时解释来自三家主要PBR供应商（Alberity，Industrial Plankton，Photon Systems Instruments）的数据集，也可以合并手动读数的数据。用户可以快速生成标准化的、可发表的曲线图，并并行分析多条生长曲线。ADA的未来迭代将包括与其他PBR供应商提供的数据集的兼容性，目的是使其成为所有PBR数据的通用平台。
Algal biotechnology has received significant attention over the past two decades in fields ranging from biofuels to cosmeceuticals. However, the development of domesticated or genetically engineered microalgal strains for commercial applications depends on accurate and reliable growth data. To this end, several companies have developed lab-scale photobioreactors (PBRs) that enable precision control of conditions and automated growth recording. Whilst the transition from manual control of conditions and measurements to automated systems has allowed researchers to greatly improve the accuracy and scope of cultivation experiments, it has also presented novel challenges. The most pertinent of these being the analysis of the copious quantities of data produced. A standard PBR experiment can contain tens or even hundreds of thousands of data points, and often features outliers, noise, and a requirement for datasets to be calibrated with a standard curve or merged with replicates. Furthermore, complex analysis of multiple curves may be required in order to extract information such as the gradient or fit to a growth model. This can be laborious, time consuming and is not standardized between research groups. Proprietary software provided with most PBRs tends to lack these more advanced features and is typically unable to process data from other PBR manufacturers. To address these issues, we have developed the Algal Data Analyser (ADA), an open-source software platform providing the tools to rapidly plot and analyse microalgal data. ADA can simultaneously interpret datasets from three major PBR suppliers (Algenuity, Industrial Plankton, Photon Systems Instruments), and can also incorporate data from manual readings. Users can rapidly produce standardized, publication ready plots, and analyse multiple growth curves in parallel. Future iterations of ADA will include compatibility with datasets from other PBR suppliers as they become available, with the aim of making it a universal platform for all PBR data.
影响因子：
6.3
作者：
Pereira H;Barreira L;Mozes A;Florindo C;Polo C;Duarte CV;Custódio L;Varela J
通讯作者：
Varela J
影响因子：
5.2
作者：
Sebesta, Jacob;Peebles, Christie A. M.
通讯作者：
Peebles, Christie A. M.
DOI：
10.3390/foods10071626
发表时间：
2021-07-14
期刊：
Foods (Basel, Switzerland)
影响因子：
--
作者：
Kratzer R;Murkovic M
通讯作者：
Murkovic M