regexplain
π An RStudio addin slash regex utility belt (by gadenbuie)
bracken_plot
A Shiny app for taxonomic abundance visualization (by acvill)
regexplain | bracken_plot | |
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2 | 2 | |
480 | 5 | |
- | - | |
0.0 | 5.9 | |
over 2 years ago | about 2 months ago | |
R | R | |
GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
regexplain
Posts with mentions or reviews of regexplain.
We have used some of these posts to build our list of alternatives
and similar projects.
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Help, regular expressions! I am new to this and my phrasing might be wrong, I apologize for that.
Could try this: https://github.com/gadenbuie/regexplain
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My Mind cannot handle regex
you can try the regexplain addin to try and build a regex based upon your input. From just the single example, the following can work:
bracken_plot
Posts with mentions or reviews of bracken_plot.
We have used some of these posts to build our list of alternatives
and similar projects.
- analysis of kraken2 reports
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Looking for some resources on creating a graph like this. Or the name of a graph like this so I can look up specific resources for R. :)
These are commonly called stacked bar plots or taxa relative abundance plots. You frequently see these plots in microbiome research papers where the authors performed either 16S or metagenomic sequencing. Given the type of data you have, you can use tools that are already available. Take a look at the R source code for this tool, which includes features like color palette recycling and grouping of taxa below a minimum abundance threshold into an βotherβ category.
What are some alternatives?
When comparing regexplain and bracken_plot you can also consider the following projects:
splitKbCompare - An interactive tool for comparing layouts of different split mechanical keyboards
electricShine - Create Standalone Installable Shiny Apps
shinyalert - π―οΈ Easily create pretty popup messages (modals) in Shiny
timevis - π Create interactive timeline visualizations in R