nf-encyclopedia
A NextFlow pipeline for chromatogram library DIA proteomics workflows
Science Score: 31.0%
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Keywords
Repository
A NextFlow pipeline for chromatogram library DIA proteomics workflows
Basic Info
Statistics
- Stars: 5
- Watchers: 1
- Forks: 3
- Open Issues: 3
- Releases: 0
Topics
Metadata Files
README.md
nf-encyclopedia
nf-encyclopedia is a NextFlow pipeline specifically designed to analyze DIA proteomics experiment that leverage chromatogram libraries; however it is perfectly suited to analyze DIA proteomics experiments without chromatogram libraries as well. The nf-encyclopedia connects three open-source tools---MSconvert, EncyclopeDIA, and MSstats---to go from mass spectra to quantified peptides and proteins.
See the nf-encyclopedia documentation
Development
Running Tests
We use the pytest Python package to run our tests. It can be installed using conda:
sh
conda env create --name nf_encyclopedia --file=environment.yml
conda activate nf_encyclopedia
conda install pytest
Once installed, tests can be run from the root directory of the workflow. Run them with:
sh
docker pull ghcr.io/talusbio/nf-encyclopedia:latest
pytest
References
This pipeline uses code and infrastructure developed and maintained by the nf-core initiative, and reused here under the MIT license.
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.
Credits
This pipeline was originally written by @ricomnl and @wfondrie at Talus Bio. Additionally, @cia23 has spent numerous hours reviewing @wfondrie's messy PRs and performing validation experiments.
Owner
- Name: Talus Bio
- Login: TalusBio
- Kind: organization
- Location: United States of America
- Twitter: talusbio
- Repositories: 10
- Profile: https://github.com/TalusBio
Citation (CITATION.md)
# Cite nf-encyclopedia ## [nf-encyclopedia]() > TODO: Add preprint ## Pipeline Tools: ### [MSconvert](https://pubmed.ncbi.nlm.nih.gov/23051804/) > Chambers, M. C., Maclean, B., Burke, R., Amodei, D., Ruderman, D. L., Neumann, S., Gatto, L., Fischer, B., Pratt, B., Egertson, J., Hoff, K., Kessner, D., Tasman, N., Shulman, N., Frewen, B., Baker, T. A., Brusniak, M.-Y., Paulse, C., Creasy, D., … Mallick, P. (2012). A cross-platform toolkit for mass spectrometry and proteomics. Nature Biotechnology, 30(10), 918–920. https://doi.org/10.1038/nbt.2377 ### [EncyclopeDIA](https://pubmed.ncbi.nlm.nih.gov/30510204/) > Searle, B. C., Pino, L. K., Egertson, J. D., Ting, Y. S., Lawrence, R. T., MacLean, B. X., Villen, J., & MacCoss, M. J. (2018). Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry. Nature Communications, 9(1). https://doi.org/10.1038/s41467-018-07454-w ### [MSstats](https://pubmed.ncbi.nlm.nih.gov/24794931/) > Choi, M., Chang, C.-Y., Clough, T., Broudy, D., Killeen, T., MacLean, B., & Vitek, O. (2014). MSstats: An R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments. Bioinformatics (Oxford, England), 30(17), 2524–2526. https://doi.org/10.1093/bioinformatics/btu305 ## Infrastructure: ## [Nextflow](https://pubmed.ncbi.nlm.nih.gov/28398311/) > Di Tommaso, P., Chatzou, M., Floden, E. W., Barja, P. P., Palumbo, E., & Notredame, C. (2017). Nextflow enables reproducible computational workflows. Nature Biotechnology, 35(4), 316–319. https://doi.org/10.1038/nbt.3820 ## [nf-core](https://pubmed.ncbi.nlm.nih.gov/32055031/) > Ewels, P. A., Peltzer, A., Fillinger, S., Patel, H., Alneberg, J., Wilm, A., Garcia, M. U., Di Tommaso, P., & Nahnsen, S. (2020). The nf-core framework for community-curated bioinformatics pipelines. Nature Biotechnology, 38(3), 276–278. https://doi.org/10.1038/s41587-020-0439-x
GitHub Events
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- Watch event: 2
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- Watch event: 2
Dependencies
- actions/checkout v3 composite
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/metadata-action v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- Actions-R-Us/actions-tagger latest composite
- actions/checkout v2 composite
- actions/checkout v3 composite
- actions/setup-python v2 composite
- docker/build-push-action v2 composite
- bioconductor-msstats 4.2.0.*
- numpy
- pandas
- pytest
- python 3.10.*
- r-dplyr
- r-magrittr
- r-rlang
- r-stringr
- r-tidyr
- mambaorg/micromamba latest build
- searlelab/encyclopedia $VERSION build