22 papers · ranked by Valyu relevance
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
From these observations, it is clear that series-wise data aggregation is most suitable for effective time series visualization. Next to this, in contrast with a custom plotting language (e.g., HoloViews), we opted to build upon Plotly. By complying with the "Don't reimplement the wheel"-mantra, our toolkit leverages…
Simon Christ, Daniel Schwabeneder, Christopher Rackauckas
The aim of Plots.jl is to enable the user to use the same syntax to interact with many different plotting libraries, such that it is possible to change the library "backend" without needing to touch the code that creates the content – and without having to learn yet another application programming interface (API).
Myles J Lewis, Susan Wang, Michael DeGiorgio
locuszoomr produces regional gene annotation plots via either R base graphics or ‘ggplot2’ and plots can readily be customized, labelled and stacked. In [vbaf006-F1], GWAS data showing association of IRF5 with susceptibility to systemic lupus erythematosus (SLE) (upper panel) is compared against eQTL data from this…
Thomas M OConnell
The increasing size and complexity of omics datasets can make effective visualization and interpretation very challenging. Differential expression datasets as from RNA-sequencing and proteomics can contain many thousands of features and even after filtering for significance there can be hundreds or thousands of…
Lucy Todd, Arthur Fordham, Ben Deacon, Marc-Olivier Coppens
In a world filled with high-quality scientific data, how much of it is truly being understood and utilised? LION Data is a Local, Interactive, Online, Networking data visualisation software specifically designed to address the requirements for scientists publishing data and users accessing it. This software allows…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä + 1 more
'Kai Puolamäki'] > Abstract. χiplot is an HTML5-based system for interactive exploration of data and machine learning models. A key aspect is interaction, not only for the interactive plots but also between plots. Even though χiplot is not restricted to any single application domain, we have developed and tested it…
S. Mason Garrison
Title: Summary Pedigree diagrams underpin research and practice across genetics, animal breeding, genealogy, forensics, and counseling. They help medical geneticists trace the inheritance of Mendelian diseases and identify at-risk relatives; enable dairy breeders to plan matings that improve milk yield; support…
Christoffer Frisk
The rapid growth of biological data from omics and transcriptomics research necessitates tools that streamline data visualisation and interpretation. Existing solutions for RNA-Seq analysis are often complex. Rnalys was developed as a lightweight, open-source web application tailored for the downstream analysis of…
Svetlana Ovchinnikova, Simon Anders
In any research project involving data-rich assays, exploratory data analysis is a crucial step. Typically, this involves jumping back and forth between visualizations that provide overview of the whole data and others that dive into details. In data quality assessment, for example, it might be very helpful to have one…
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot…
Ringyao Jajo, Shivani Kansal, Sonia Balyan, Saurabh Raghuvanshi
Data visualisation technique has greatly improved as technology has advanced. While representing the data through graph, it has made the underlying data structure become more transparent and interpretable. However, the informational scope of freely available generic visualisation tools is still limited since they only…
Xiaotong Luo, Ying Shi, Hao Huang, Hongge Wang + 7 more
High-quality bioinformatics plotting is important for biology research, especially when preparing for publications. However, the long learning curve and complex coding environment configuration often appear as inevitable costs towards the creation of publication-ready plots. Here, we present PlotGDP…
Owen R Dando, Zrinko Kozic, Sam A Booker, Giles E Hardingham + 1 more
'Peter C Kind'] Title: Abstract 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…
Avinash R. Shenoy
grafify online is a free, browser-based app for generating publication-quality graphs and performing statistical tests and post-hoc comparisons. Users can customize plots and explore statistical results without needing R programming experience.
Bryan Queme, John C. Braisted, Patricia Dranchak, James Inglese
High throughput screening (HTS) is widely used in drug discovery and chemical biology to identify and characterize agents having pharmacologic properties often by evaluation of large chemical libraries. Standard HTS data can be simply plotted as an x-y graph usually represented as % activity of a compound tested at a…
Aleksandar Anžel, Zewen Yang, Georges Hattab
Title: Summary While the polar system may lack the universal familiarity of its Cartesian counterpart, it remains indispensable for certain tasks. Summary polar diagrams, such as Taylor and mutual information diagrams, address tasks like discovering relationships, visualizing data similarity, and quantifying…
Haotian Li, Ying Lü, Haidong Zhang, Yingcai Wu + 2 more
In this section, we review research on visual analysis in computational notebooks, data storytelling, and data fact recommendation. Computational notebooks have been widely applied in data analysis since it enables the integrated display of code and results, which facilitates the iterative nature of data analysis…
Michael E. Deagen, Jamie P. McCusker, Tolulomo Fateye, Samuel Stouffer + 3 more
'Samuel Stouffer' 'L. Cate Brinson' 'Deborah L. McGuinness' 'Linda S. Schadler'] Graph databases capture richly linked domain knowledge by integrating heterogeneous data and metadata into a unified representation. Here, we present the use of bespoke, interactive data graphics (bar charts, scatter plots, etc.) for…
Simson, Jan
Data analysis rarely follows a linear path. This becomes evident when examining established frameworks such as the Cross-Industry Standard Process for Data Mining (CRISP-DM) [[2]] or the data science life cycle described in the PCS-framework / veridical data science [[8]], both of which highlight the cyclic nature of…
Authors not listed
Large Language Models have demonstrated impressive capabilities in natural language understanding and processing. However, as AI and LLMs continue to evolve, their ability to accurately and efficiently interpret data from scientific figures and plots remains obscure. In this study, we test and evaluate the ability of…
Selena Luo, Mark S. Keller, Tabassum Kakar, Lisa Choy + 1 more
Summary: EasyVitessce is a Python package that turns existing static Scanpy and SpatialData plots into interactive visualizations by virtue of adding a single line of Python code. The package uses Vitessce internally to render interactive plots, and abstracts away technical details involved with configuration of…