freeCount: A Coding Free Framework for Guided Count Data Visualization and Analysis
Article No.: 37, Pages 1 - 4
Abstract
The analysis and interpretation of high-dimensional biological data sets is a challenging task. Exploratory data analysis of count data produced by next-generation sequencing technologies presents a common hurdle to researchers. Biologists often find it difficult to get started with the analysis process, which can be time consuming and repetitive. With the freeCount analysis framework students and researchers are guided through the iterative steps of data assessment, processing, and analysis in a visual environment. The freeCount analysis framework takes advantage of the reactive features of R Shiny to deliver a set of modular and interactive tools and tutorials for the structured analysis and visualization of count data.
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- freeCount: A Coding Free Framework for Guided Count Data Visualization and Analysis
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Published In
July 2024
608 pages
ISBN:9798400704192
DOI:10.1145/3626203
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.
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Published: 17 July 2024
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PEARC '24: Practice and Experience in Advanced Research Computing
July 21 - 25, 2024
RI, Providence, USA
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