Top Tweets for #100daysofRpackages
#100DaysofRpackages
(40). clustree
Deciding the scRNA-seq resolution can be a difficult question
This package by @_lazappi_ allows to produce clustering trees for interrogating how samples move as the number of clusters increases
#RStats #Bioinformatics
https://t.co/5IYaQdOpR3
#100DaysofRpackages
(39). SCpubr
Tired of formatting single-cell RNA-seq plots?
This package allows generating publication ready plots for known Single-Cell visualizations in a "publication ready" format
#RStats #Bioinformatics
https://t.co/SQCOmNtOCC
#100DaysofRpackages
(38). DataPasta
This package by @MilesMcBain provides Rstudio addins and functions that give you complete freedom copy-paste data to and from your source editor, formatted for immediate use
https://t.co/tzcVjRq5KQ
#Rstats #Bioinformatics #tidydata
#100DaysofRpackages
(37) . CytoTree
Would you like a workflow to facilitate cytometry data interpretation?
CytoTree is a comprehensive R package designed for the analysis and interpretation of flow and mass cytometry data
https://t.co/FfEmCXFm6l
#Rstats #Bioinformatics
#100DaysofRpackages
(36). drawCell
Would you like to include images of cells alongside your R plots?
This R package by Alvaro Sanchez allows to easily obtain nice cell pictures in R!
#Bioinformatics #biology #RStats #DataVisualization #dataviz
https://t.co/ESVT6xCwf2
#100DaysofRpackages
(35). archive
This package provides interfaces to read and write connections into archives, as well as efficiently reading and writing archives directly to disk.
#RStats #Bioinformatics
https://t.co/dbhSdJq7eU
#100DaysofRpackages
(34). ShinyCell
This package allows users to create interactive Shiny-based web applications to visualise single-cell data in an easy and highly friendly-to-use manner
#RStats #Bioinformatics #singlecell
https://t.co/N4xUOAJFMs
#100DaysofRpackages
(33). ggxmean
This package by @EvaMaeRey introduces new geom_*s for fluid visual description of some basic statistical concepts and visualization of the mean and conditional means
#RStats #Bioinformatics
https://t.co/gxD8phzUfq
#100DaysofRpackages
(32).visdat
This package by @nj_tierney provides tools to create heatmap-like visualisations of an entire dataframe at once to explore the data class structure and missingness
#RStats #bioinformatics #tidydata #dataviz
https://t.co/Ec8GlRoXxC
#100DaysofRpackages
(31). DifferentialRegulation
This package by @tiberi_simone allows detecting differentially regulated genes by targeting differences in the balance of spliced and unspliced mRNA abundances from scRNAseq data
#RStats #Bioinformatics
https://t.co/xcgSK4OzEh
#100DaysofRpackages
(30). seqLogo
DNA alignment is commonly represented in a position weight matrix form. This package provides an R implementation for plotting such sequence logos
#Bioinformatics #biology #dataviz #RStats
https://t.co/rFUkv8ylyW
#100DaysofRpackages
(29). modelsummary
modelsummary creates highly customizable tables and plots to summarize statistical models and data in R.
#RStats #Bioinformatics #biology #computationalbiology #dataviz #Datavisualization
https://t.co/nbP3pnhCbx
#100DaysofRpackages
(28). DiagrammeR
Sometimes you want to create nice diagrams. Why not do that in R?
The DiagrammeR package by @riannone allows to create, modify, analyze, and visualize network graph diagrams
#Rstats #Bioinformatics #dataviz
https://t.co/TA5u15lzFs
#100DaysofRpackages
(27). gghighlight
When data has many series that it's hard to identify by just colors, the gghighlight package by @yutannihilat_en grants an elegant highlighting of any data of interest with customisable options
#RStats #dataviz
https://t.co/ZWLDs27GdY
#100DaysofRpackages
(26). Charlatan
Many times we need some fake data for sake of examples, setting a learning task or for simulations...
This package is inspired from Python’s #faker to simulate fake data for several purposes
#RStats #Bioinformatics
https://t.co/C5E5zLVblT
#100daysofRpackages
(25). report
Citing packages is important to acknowledge people and reproducibility. This package converts statistical models and dataframes into textual reports suited for publication, ensuring standardisation in results reporting
https://t.co/dgB1ZmeQnE
#100DaysofRpackages
(24). dittoSeq
dittoSeq is a tool built to enable analysis and visualization of single-cell and bulk RNA-sequencing data by novice, experienced, and color-blind coders
#Bioinformatics #NGS #Rstats #Datavisualization #dataviz
https://t.co/zTkVqlLx07
#100DaysofRpackages
(23). EnhancedVolcano
Plotting a volcano plot has never been any easier with this R package by @KevinBlighe
It provides a highly-configurable function that produces publication-ready volcano plots
#Bioinformatics #RStats #dataviz
https://t.co/42hW4XicxA
#100DaysofRpackages
(22). factoextra
You want an elegant PCA analysis and visualization with less typing?
factoextra allows to easily extract and visualize the output of exploratory multivariate data analyses including PCA...
#RStats #Bioinformatics
https://t.co/gfOVDdDb4E
#100daysofRpackages
(21). tesseract
This package is a powerful optical character recognition (OCR) engine that allows to extract the text from any image (could be list of genes, pathways,...). It supports over 100 languages.
#RStats #Bioinformatics
https://t.co/0CttwE1hmw
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