https://github.com/loukesio/onetool

https://github.com/loukesio/onetool

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/loukesio/onetool
• Owner: loukesio
• License: mit
• Created: 2024-02-25T20:16:41.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-02-25T20:17:25.000Z (10 months ago)
• Last Synced: 2024-02-25T21:29:30.127Z (10 months ago)
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Genomics and Data Visualization Tools

This repository is dedicated to listing and discussing various R packages and Python modules that are particularly useful in the fields of Genomics and Data Visualization. Whether you are conducting genomic data analysis, visualizing complex datasets, or both, this curated list aims to provide you with the tools necessary to achieve your goals.

## R Packages for Genomics

### Bioconductor

Bioconductor offers tools for the analysis and comprehension of high-throughput genomic data. Bioconductor is based on the R statistical programming language, and is open source and open development. It has a wide variety of packages available for genomics data analysis.

- [Bioconductor](https://bioconductor.org)

### GenomicRanges

An R package designed to represent and manipulate genomic intervals and data associated with those intervals.

- [GenomicRanges](https://bioconductor.org/packages/release/bioc/html/GenomicRanges.html)

### DESeq2

DESeq2 is a package for differential gene expression analysis based on the negative binomial distribution.

- [DESeq2](https://bioconductor.org/packages/release/bioc/html/DESeq2.html)

## Python Modules for Genomics

### Biopython

Biopython is a set of freely available tools for biological computation written in Python by an international team of developers.

- [Biopython](https://biopython.org)

### PySAM

PySAM provides an interface for reading, manipulating, and writing genomic data sets in SAM/BAM format.

- [PySAM](https://pysam.readthedocs.io/en/latest/)

## R Packages for Data Visualization

### ggplot2

A system for declaratively creating graphics, based on The Grammar of Graphics. ggplot2 provides a powerful way of making complex and beautiful graphics.

- [ggplot2](https://ggplot2.tidyverse.org)

### plotly

An R package that creates interactive web graphics via the open source JavaScript graphing library plotly.js.

- [plotly for R](https://plotly.com/r/)

## Python Modules for Data Visualization

### Matplotlib

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

- [Matplotlib](https://matplotlib.org)

### seaborn

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

- [seaborn](https://seaborn.pydata.org)

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Feel free to contribute by suggesting other tools and packages that are useful for genomics and data visualization. Your contributions are welcome!