tucca-rna-seq
Tufts University Center for Cellular Agriculture's RNA-Seq Workflow for Cellular Agriculture Projects
Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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✓Institutional organization owner
Organization tucca-cellag has institutional domain (cellularagriculture.tufts.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.5%) to scientific vocabulary
Keywords
Repository
Tufts University Center for Cellular Agriculture's RNA-Seq Workflow for Cellular Agriculture Projects
Basic Info
- Host: GitHub
- Owner: tucca-cellag
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://tucca-cellag.github.io/tucca-rna-seq/introduction
- Size: 27.9 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 5
- Releases: 2
Topics
Metadata Files
README.md
tucca-cellag/tucca-rna-seq is the
Tufts University Center for Cellular Agriculture's (TUCCA) RNA-Seq
workflow specifically designed for cellular agriculture projects.
This workflow was developed using the Snakemake workflow management
system. tucca-rna-seq is a standardized usage Snakemake workflow that follows
the best practices laid out in the Snakemake documentation (as of
Snakemake v9.3) and can be found in the Snakemake Workflow Catalog.
[!WARNING] This workflow is still under construction. Release v0.9.0 marks our first public release. v0.9.0 contains all logic to process raw paired-end RNA-Seq reads through differential expression. Currently, the workflow can generate a large number of DESeq2 result files, especially for experiments with multiple conditions and contrasts. While this is thorough, we recognize that navigating dozens of individual result files can be challenging. The centerpiece of the v1.0.0 release will be an interactive analysis toolkit that allows you to dynamically explore and visualize your results. This will include a suite of Shiny applications leveraging powerful packages like
pcaExplorer,ideal, andGeneTonicto bring your data to life, as well as custom scripting to generate our favoriteclusterProfilerfigures. We encourage users to test this v0.9.0 release and provide feedback. Users should expect our documentation to be incomplete and continue to have major reworks until v1.0.0 is released. Please open an issue to report any bugs or suggest improvements. Additionally, feel free to contact us with any questions.
Documentation
The usage of this workflow is described in our documentation at tucca-cellag.github.io. If you've found a bug or there is a feature that we're missing (in the workflow or in our documentation) please open an issue to let us know.
Workflow Overview
Created in https://BioRender.com
Rulegraph
Created via `snakemake --rulegraph`
How do I get help?
For questions or suggestions regarding the workflow, first, check out our detailed documentation at tucca-cellag.github.io. If you can't find the answer to your question in our documentation you can try checking if someone has previously opened an issue answering your question. If you still have a question please open an issue so we can help! For any other inquiries, please contact us via email.
Citing the Workflow
If you use this workflow in a paper, don't forget to give credits to the authors by citing the URL of this (original) repository and its DOI (above if available). You should also cite the individual tools used in this workflow. See CITATIONS.md for details.
What is Cellular Agriculture? 🧬🌱
Cellular Agriculture is a cutting-edge field that harnesses biotechnology to produce agricultural products directly from cells. Unlike traditional farming, which relies on raising and harvesting whole organisms, cellular agriculture focuses on cultivating animal cells in controlled environments to create sustainable alternatives for meat, dairy, and other animal-derived products.
Why Cellular Agriculture Matters
- Sustainability 🌍: Reduces the environmental impact associated with conventional agriculture, including lower greenhouse gas emissions, reduced land and water usage, and minimized waste production.
- Ethical Considerations 🐮❤️: Offers humane alternatives by eliminating the need for animal slaughter, addressing animal welfare concerns.
- Food Security 🍽️: Enhances the ability to produce food in areas with limited agricultural resources, contributing to global food security.
- Innovation and Research 🔬: Drives advancements in biotechnology, genetics, and bioinformatics, fostering interdisciplinary collaboration and novel scientific discoveries.
Contributing
We welcome your involvement in the development of this workflow via submission
of bug reports, proposing new features, engaging in discussions, or providing
fixes and other code modifications. If you're interested in contributing,
please consult the contributing guidelines. For all interactions within
the tucca-cellag community, we ask that you observe our code of conduct.
Owner
- Name: The Tufts University Center for Cellular Agriculture (TUCCA)
- Login: tucca-cellag
- Kind: organization
- Email: benjamin.bromberg@tufts.edu
- Location: United States of America
- Website: https://cellularagriculture.tufts.edu/
- Twitter: tuftscellag
- Repositories: 2
- Profile: https://github.com/tucca-cellag
This is organization contains projects and templates from TUCCA's bioinformatics work
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: tucca-rna-seq
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Benjamin
family-names: Bromberg
email: benjamin.bromberg@tufts.edu
affiliation: Tufts University Center for Cellular Agriculture
orcid: "https://orcid.org/0009-0001-3166-6329"
- given-names: Archana
family-names: Nagarajan
email: archana.nagarajan@tufts.edu
affiliation: Tufts University Center for Cellular Agriculture
orcid: "https://orcid.org/0009-0003-2668-1270"
- name: Tufts University Center for Cellular Agriculture
country: MA
website: "https://cellularagriculture.tufts.edu/"
city: Medford
post-code: "02155"
location: United States
repository-code: "https://github.com/tucca-cellag/tucca-rna-seq"
url: "https://tucca-cellag.github.io/tucca-rna-seq/introduction"
abstract: >-
tucca-cellag/tucca-rna-seq is the Tufts University Center
for Cellular Agriculture's (TUCCA) RNA-Seq workflow
specifically designed for cellular agriculture projects.
keywords:
- bioinformatics
- rna-seq
- snakemake
- reproducible-research
- conda
- singularity
- apptainer
- reproducible-science
- rnaseq
- reproducibility
- high-throughput
- transcriptomics
- snakemake-workflow
- salmon-deseq2
- sciworkflows
- rnaseq-pipeline
license: MIT
version: 0.9.0
date-released: "2025-06-03"
GitHub Events
Total
- Create event: 15
- Release event: 2
- Issues event: 7
- Watch event: 3
- Delete event: 7
- Issue comment event: 5
- Member event: 1
- Push event: 611
- Pull request review comment event: 51
- Pull request review event: 56
- Pull request event: 7
- Fork event: 1
Last Year
- Create event: 15
- Release event: 2
- Issues event: 7
- Watch event: 3
- Delete event: 7
- Issue comment event: 5
- Member event: 1
- Push event: 611
- Pull request review comment event: 51
- Pull request review event: 56
- Pull request event: 7
- Fork event: 1
Dependencies
- amannn/action-semantic-pull-request v3.4.0 composite
- actions/checkout v2 composite
- github/super-linter v4 composite
- snakemake/snakemake-github-action v1.24.0 composite
- GoogleCloudPlatform/release-please-action v2 composite