{"id":59819,"url":"https://github.com/Juke34/awesome-awesomeness-bioinformatics","name":"awesome-awesomeness-bioinformatics","description":"A list of awesome awesomeness related to bioinformatics and associated fields","projects_count":49,"last_synced_at":"2026-10-22T19:00:39.512Z","repository":{"id":235777052,"uuid":"791213238","full_name":"Juke34/awesome-awesomeness-bioinformatics","owner":"Juke34","description":"A list of awesome awesomeness related to bioinformatics and associated 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Awesome awesomeness bioinformatics [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\nA curated list of awesome curated lists of awesome softwares and resources in bioinformatics and affiliated areas.\n\n## Contributing\nPlease read [CONTRIBUTING](./CONTRIBUTING.md) if you wish to add a awesome list of resources.\n\n## Awesome\n| Resource | Description |\n| --- | --- |\n| [Awesome](https://github.com/sindresorhus/awesome) | Awesome lists about all kinds of interesting topics: Programming, Computer Science, Big Data, Databases, Learn, Front-End/Back-End Development, etc. |\n| [Awesome 10x Genomics](https://github.com/johandahlberg/awesome-10x-genomics) | This list attempts to gather tools related to the GEMCode/Chromium platforms from 10x Genomics.\n| [Awesome Alternative Splicing](https://github.com/HussainAther/awesome-alternative-splicing) | This is a resource for software and information about alternative splicing.\n| [Awesome Awesomeness](https://github.com/bayandin/awesome-awesomeness) | A curated list of amazingly awesome awesomeness (i.e. similar to this repository but with broader topics with a focus on programming and general ressources).\n| [Awesome Big Data](https://github.com/newTendermint/awesome-bigdata) | A curated list of awesome big data frameworks, resources and other awesomeness.\n| [Awesome Bio Go](https://github.com/dissipative/awesome-bio-go) | List of Bioinformatics Software Written in the Go Language.\n| [Awesome Bioinformatics](https://github.com/danielecook/Awesome-Bioinformatics) | A curated list of awesome Bioinformatics software, resources, and libraries. Mostly command line based, and free or open-source.\n| [Awesome Bioinformatics Benchmarks](https://github.com/j-andrews7/awesome-bioinformatics-benchmarks) | A curated list of bioinformatics benchmarking papers and resources.\n| [Awesome Bioinformatics Blog](https://github.com/Juke34/awesome-blog-bioinformatics) | A curated list of awesome blog in bioinformatics and affiliated areas.\n| [Awesome Bioinformatics Community](https://github.com/Juke34/awesome-community-bioinformatics) | A curated list of awesome communities in bioinformatics and related fields.\n| [Awesome Bioinformatics Education](https://github.com/lskatz/awesome-bioinformatics-education) | A curated list of resources specific to learning bioinformatics. \n| [Awesome Bioinformatics Tools](https://github.com/ZhihaoXie/awesome-bioinformatics-tools) | A curated list of awesome Bioinformatics software, tools and resources.\n| [Awesome Cancer Variant Databases](https://github.com/seandavi/awesome-cancer-variant-databases) | A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer and normal variants.\n| [Awesome Copilot](https://github.com/github/awesome-copilot) | Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.\n| [Awesome CRISPR](https://github.com/davidliwei/awesome-CRISPR) | List of software/websites/databases/papers for genome engineering, including (but not limited to) guide design, genome editing outcome, screening analysis, etc.\n| [Awesome Data Science](https://github.com/academic/awesome-datascience) | An open-source Data Science repository to learn and apply towards solving real world problems.\n| [Awesome Expression Browser](https://github.com/federicomarini/awesome-expression-browser) | A curated list of software and resources for exploring and visualizing (browsing) expression data, but not only limited to that.\n| [Awesome Genome Annotation](https://juke34.github.io/awesome-genome-annotation/) | A curated list of awesome genome annotation tools.\n| [Awesome Genome Visualization](https://github.com/cmdcolin/awesome-genome-visualization) | A list of interesting genome visualizers, genome browsers, or genome-browser-like implementations.\n| [Awesome ggplot2](https://github.com/erikgahner/awesome-ggplot2?tab=readme-ov-file) | Resources related to ggplot2.\n| [Awesome Quarto](https://github.com/mcanouil/awesome-quarto) | The most up to date curated list of Quarto® docs, talks, tools, examples \u0026 articles the internet has to offer.\n| [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) | A curated list of awesome machine learning frameworks, libraries and software (by language).\n| [Awesome Microbes](https://github.com/stevetsa/awesome-microbes) | List of resources, including software packages (and the people developing these methods) for microbiome (16S), metagenomics (WGS, Shot-gun sequencing), and pathogen identification/detection/characterization.\n| [Awesome Multi-omics](https://github.com/mikelove/awesome-multi-omics) | A community-maintained list of software packages for multi-omics data analysis.\n| [Awesome Nextflow](https://github.com/nextflow-io/awesome-nextflow) | A curated list of Nextflow pipelines.\n| [Awesome Package Manager](https://github.com/damon-kwok/awesome-package-manager) | A list of package managers.\n| [Awesome Pangenomes](https://github.com/colindaven/awesome-pangenomes) | A list of packages, papers and formats for eukaryotic pangenomes.\n| [Awesome Pipeline](https://github.com/pditommaso/awesome-pipeline) | A curated list of awesome pipeline toolkits.\n| [Awesome Python](https://github.com/vinta/awesome-python) | An opinionated list of awesome Python frameworks, libraries, software and resources.\n| [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets) | This is a list of topic-centric public data sources in high quality.\n| [Awesome R](https://github.com/qinwf/awesome-R) | A curated list of awesome R packages and tools.\n| [Awesome Ratatui](https://github.com/ratatui/awesome-ratatui) | A list of Terminal User Interfaces (TUI) crates and applications that are made for or using ratatui and tui.\n| [Awesome R Learning Resources](https://github.com/iamericfletcher/awesome-r-learning-resources) | A curated list of R Learning Resources.\n| [Awesome R Package Development Tools](https://github.com/IndrajeetPatil/awesome-r-pkgtools) | A curated list of R Package Development Tools.\n| [Awesome Reproducible Research](https://github.com/leipzig/awesome-reproducible-research) | A curated list of reproducible research case studies, projects, tutorials, and media.\n| [Awesome Single Cell](https://github.com/seandavi/awesome-single-cell) | List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc.\n| [Awesome Sysadmin](https://github.com/kahun/awesome-sysadmin/blob/master/README.md) | A curated list of amazingly awesome open source sysadmin resources. \n| [Awosome Bioinformatics](https://github.com/openbiox/awosome-bioinformatics) | A curated list of resources for learning bioinformatics. Some of this repo resources were collected by BioInstaller project. \n| [Bioinformatics notes](https://github.com/mdozmorov/Bioinformatics_notes) | Awesome bioinformatics learning and data analysis tips and tricks.\n| [ERGA Knowledge Hub](https://www.erga-biodiversity.eu/post/the-erga-knowledge-hub) | A portal gathering and sharing educational materials on genomics and related topics \n| [Galaxy Training!](https://training.galaxyproject.org) | Collection of tutorials developed and maintained by the worldwide Galaxy community \n| [Genome Assembly Tools](https://github.com/nadegeguiglielmoni/genome_assembly_tools) | Awesome list of genome assembly tools. \n| [Glittr](https://glittr.org/?per_page=25\u0026sort_by=stargazers\u0026sort_direction=desc) | A web app that list bioinformatics training materials available on GitHub and GitLab.\n| [Helpful links](https://github.com/paulstothard/helpful_links) | Awesome links to resources related to bioinformatics and data analysis.\n| [Long Read Tools](https://long-read-tools.org) | A catalogue of available long read sequencing data analysis tools. \n| [Python Graph Gallery](https://python-graph-gallery.com) | collection of hundreds of charts made with Python.\n| [R Graph Gallery](https://r-graph-gallery.com) | collection of hundreds of charts made with the R programming language.\n| [RNA-seq Analysis](https://github.com/crazyhottommy/RNA-seq-analysis) | RNAseq analysis notes from Ming Tang.\n| [Workflowhub](https://workflowhub.eu) | A registry of scientific computational workflows.\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/juke34%2Fawesome-awesomeness-bioinformatics/projects"}