https://github.com/compomics/jsparklines
Sparklines for java tables
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: ncbi.nlm.nih.gov, sciencedirect.com, nature.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
Keywords
Repository
Sparklines for java tables
Basic Info
- Host: GitHub
- Owner: CompOmics
- Language: Java
- Default Branch: master
- Homepage: http://compomics.github.io/projects/jsparklines.html
- Size: 4.26 MB
Statistics
- Stars: 8
- Watchers: 11
- Forks: 3
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
JSparklines
JSparklines makes it straightforward to visualize numbers in Java tables by the use of sparklines. All that is needed is a couple of lines of code.
The charts are created using JFreeChart and added to the table columns using custom TableCellRenderers.
Supports more than 30 types of charts/renderers, including bar chart, line charts, stacked bar charts, bar charts with error bars, pie charts, scatter plots, interval charts, area charts, heat maps and box plots.
If you like JSparklines you may also want to check out JSparklines Factory.
JSparklines Publication:
- Barsnes et al: Proteomics. 2014. (doi: 10.1002/pmic.201400356).
- If you use JSparklines as part of a publication, please include this reference.
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How to use JSparklines
See the How to use JSparklines wiki page for code examples. JSparklines is also available as a Maven dependency.
If you have questions or would like to contribute to the JSparklines project, please contact the developers.
Examples
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(Click on a figure to see the full size version)
Projects using JSparklines
| Project | Description | Publication | |:-----------------|:----------------|:----------------| | PeptideShaker | interpretation of proteomics identification results|Vaudel et al: Nature Biotechnol. 2015 Jan;33(1):22-24.| | DeNovoGUI | de novo sequencing of tandem mass spectra|Muth at al: J Proteome Res. 2014 Feb 7;13(2):1143-6.| | SearchGUI | graphical user interface for proteomics identification search engines|Barsnes et al: J Proteome Res. 2018 (in press)| | thermo-msf-parser | parser and viewer for thermo msf files|Colaert et al: J Proteome Res. 2011;10(8):3840-3.| | Fragmentation Analyzer | analyzing MS/MS fragmentation data|Barsnes et al: Proteomics 2010;10(5):1087-90.| | MetaProteomeAnalyzer | analyzing meta-proteomics data|Muth et al: J Proteome Res. 2015 Mar 6;14(3):1557-65.| | proteocloud | proteomics cloud computing pipeline|Muth et al: J Proteomics. 2013 Jan 8. pii: S1874-3919(13)00013-4.| | S2P | processing of 2D-gel and MALDI-based mass spectrometry protein data|López-Fernández et al: Comput Methods Programs Biomed. 2018;Volume 155, pp. 1-9| | DEWE | differential expression analysis of RNA-Seq data| |
Are you using JSparklines and would like your project listed here? Contact the developers of JSparklines.
Owner
- Name: Computational Omics and Systems Biology Group
- Login: CompOmics
- Kind: organization
- Email: compomics.list@gmail.com
- Website: https://www.compomics.com/
- Twitter: CompOmics
- Repositories: 93
- Profile: https://github.com/CompOmics
The CompOmics group, headed by Prof. Dr. Lennart Martens, specializes in the management, analysis and integration of high-throughput Omics data.