https://twitter.com/loukesio
ltc-color-palettes. "ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically
267ggvolc. 𝐠𝐠𝐯𝐨𝐥𝐜 effortlessly translates differential expression datasets and RNAseq data into informative volcano plots. Highlight genes of interest with unprecedented ease. With just a single line of code, visualize complex datasets, gaining deeper insights and simplifying data representation
72R-package-tutorial.
20dataviz-genomicsdata. HTML
19metagenomics-ecoevo.
12Formula1_ML. Jupyter Notebook
8blastar. R
6plots. This is a public repository which shows how to do fancy plots in R with simple data
4barcosim. BarcoSim, a specialized R package designed for simulating barcoded amplicon sequences. Whether you're testing algorithms or forecasting experimental outcomes, BarcoSim provides a robust framework to mimic real-world sequencing scenarios, ensuring preparedness and enhancing the efficiency of your genomic projects."
2tidytuesday. HTML
2LoukasTheodosiou.github.io.
1ggsynteny. 🍓 𝗴𝗴𝗦𝘆𝗻𝘁𝗲𝗻𝘆 🍓 is an R package designed to create beautiful and accurate synteny visualizations with curved connections. Using ggplot2 as a core provides a flexible and intuitive way to visualize gene synteny across multiple species.
1aRt. R
1biocode. Jupyter Notebook
1nextflow_LifeSciences.
1physalia_adaptation_course. R
130DayMapChallenge. A repository for the #30DayMapChallenge 2021. If the code does compile correctly or if you see an error, please let me know.
1meta-analysis_egg_hormones_and_fitness. This is a repository that contains all code and data needed to reproduce the results of a meta-analytic study on the relationship between egg hormones and fitness proxies across bird species
130-Days-Of-JavaScript. 30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.
1tidyomics. A comprehensive R package for creating publication-ready visualizations of multiomics data including heatmaps, PCA, time series, Manhattan plots, phylogenetic trees, circus plots, and genomic analyses.
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