Laboratory Automated Interrogation of Data: an interactive web application for visualization of multilevel data from biological experiments

被引:0
作者
Dando, Owen R. [1 ,2 ,3 ,4 ]
Kozic, Zrinko [1 ,4 ]
Booker, Sam A. [1 ,2 ,4 ]
Hardingham, Giles E. [1 ,2 ,3 ,4 ]
Kind, Peter C. [1 ,2 ,4 ]
机构
[1] Univ Edinburgh, Simons Initiat Developing Brain, Edinburgh EH8 9XD, Scotland
[2] Univ Edinburgh, Patrick Wild Ctr, Edinburgh EH8 9XD, Scotland
[3] Univ Edinburgh, UK Dementia Res Inst, Edinburgh EH16 4SB, Scotland
[4] Univ Edinburgh, Ctr Discovery Brain Sci, Edinburgh EH8 9XD, Scotland
关键词
data; visualization; automatization; statistics; R Shiny; CLUSTERED DATA; TOOL;
D O I
10.1093/braincomms/fcae074
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated and facile way to visualize and interrogate such multilevel data, across many experimental variables, would (i) lead to improved understanding of the results, (ii) help to avoid misleading interpretation of statistics and (iii) easily identify outliers and sources of batch and confounding effects. While many excellent graphing solutions already exist, they are often geared towards the production of publication-ready plots and the analysis of a single variable at a time, require programming expertise or are unnecessarily complex for the task at hand. Here, we present Laboratory Automated Interrogation of Data (LAB-AID), an interactive tool specifically designed to automatically visualize and query hierarchical data resulting from biological experiments. Dando et al. present Laboratory Automated Interrogation of Data (LAB-AID), an interactive software tool to visualize and query hierarchical data resulting from biological experiments. LAB-AID helps biologists to understand results, identify outliers and sources of batch and confounding effects and avoid common statistical errors such as pseudoreplication.
引用
收藏
页数:8
相关论文
共 39 条
  • [21] MEVA - An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D Devices
    Helbig, Carolin
    Bilke, Lars
    Bauer, Hans-Stefan
    Boettinger, Michael
    Kolditz, Olaf
    PLOS ONE, 2015, 10 (04):
  • [22] ToxAnalyzer: A user-friendly web tool for interactive data analysis and visualization of chemical compounds from the Comparative Toxicogenomics Database (CTD)TM
    Rodrigues, Daniel Ribeiro
    Mariano, Diego Cesar Batista
    Santos, Lucianna Helene Silva
    Tagliati, Carlos Alberto
    COMPUTATIONAL TOXICOLOGY, 2021, 19
  • [23] ToxAnalyzer: A user-friendly web tool for interactive data analysis and visualization of chemical compounds from the Comparative Toxicogenomics Database (CTD)TM
    Rodrigues, Daniel Ribeiro
    Mariano, Diego Cesar Batista
    Santos, Lucianna Helene Silva
    Tagliati, Carlos Alberto
    COMPUTATIONAL TOXICOLOGY, 2021, 19
  • [24] Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
    Xia, Jianguo
    Wishart, David S.
    NATURE PROTOCOLS, 2011, 6 (06) : 743 - 760
  • [25] Escher-Trace: a web application for pathway-based visualization of stable isotope tracing data
    Avi Kumar
    Jack Mitchener
    Zachary A. King
    Christian M. Metallo
    BMC Bioinformatics, 21
  • [26] Escher-Trace: a web application for pathway-based visualization of stable isotope tracing data
    Kumar, Avi
    Mitchener, Jack
    King, Zachary A.
    Metallo, Christian M.
    BMC BIOINFORMATICS, 2020, 21 (01)
  • [27] Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways
    King, Zachary A.
    Draeger, Andreas
    Ebrahim, Ali
    Sonnenschein, Nikolaus
    Lewis, Nathan E.
    Palsson, Bernhard O.
    PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (08)
  • [28] An automated feature extraction method with application to empirical model development from machining power data
    Pantazis, Dimitrios
    Goodall, Paul
    Conway, Paul P.
    West, Andrew A.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 124 : 21 - 35
  • [29] Hypertension Statistics for US Adults: An Open-Source Web Application for Analysis and Visualization of National Health and Nutrition Examination Survey Data
    Jaeger, Byron C.
    Chen, Ligong
    Foti, Kathryn
    Hardy, Shakia T.
    Bress, Adam P.
    Kane, Sean P.
    Huang, Lei
    Herrick, Jennifer S.
    Derington, Catherine G.
    Poudel, Bharat
    Christenson, Ashley
    Colantonio, Lisandro D.
    Muntner, Paul
    HYPERTENSION, 2023, 80 (06) : 1311 - 1320
  • [30] Interactive Quantitative Measurement of Blood Vessel of Brain and Human Skeleton Visualization from Non-Enhanced MR Angiography and CT Data
    Hu, Zhanli
    Zhang, Na
    Liu, Yang
    Gui, Jianbao
    Rong, Junyan
    Zou, Jing
    Zhang, Qiyang
    Zheng, Hairong
    ADVANCED SCIENCE LETTERS, 2011, 4 (02) : 363 - 367