datasync
nf-core/datasync is a system operation pipeline that provides several workflows for handling system operation / automation tasks
Science Score: 57.0%
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Low similarity (10.8%) to scientific vocabulary
Keywords
Repository
nf-core/datasync is a system operation pipeline that provides several workflows for handling system operation / automation tasks
Basic Info
- Host: GitHub
- Owner: nf-core
- License: mit
- Language: Nextflow
- Default Branch: dev
- Homepage: https://nf-co.re/datasync
- Size: 613 KB
Statistics
- Stars: 9
- Watchers: 191
- Forks: 3
- Open Issues: 6
- Releases: 0
Topics
Metadata Files
README.md
Introduction
[WIP] WORK IN PROGRESS AND NOT YET STABLE - DO NOT USE FOR PRODUCTIVE SETTINGS YET
nf-core/datasync is a system operation pipeline that provides several workflows for handling system operation / automation tasks that are commonly helpful for various tasks in large data processing / analysis facilities. This includes:
- Data Synchronization & Checksum generation
- Configurable: Can provide YAML file which files to include or exclude from sync
- Checksum backend: Can configure which backend to use for checksum generation (e.g. sha256sum, md5, ...)
- Configurable whether to include (sub-) folders in the sync or not (search for checkpoint files, e.g. has to have DEMUX_DONE that signals a demultiplexing run was finished & successfully copied)
- Data Integrity validation
- Provided with a directory to check, can validate that file(s) found are matching checksums from Synchronization subworkflow
- Data Archival & Deletion
- Can check source and target location for existence of file(s) and decide based on user configurable rules whether files can be considered archived
- Timestamp older than X days
- Checksums match Integrity validation report
- Create empty files to make it obvious that archival was performed
- Optionally: Delete files or create list of files to be deleted for manual deletion process
The pipeline can be configured by users to execute any of the aforementioned subworkflows and then produces a report using MultiQC custom content that also serves as a report of what was done by the pipeline for documentation purposes.
Usage
[!NOTE] If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with
-profile testbefore running the workflow on actual data.
Now, you can run the pipeline using:
bash
nextflow run nf-core/datasync \
-profile <docker/singularity/.../institute> \
--input samplesheet.csv \
--outdir <OUTDIR>
--sync
--sync_backend 'sha256'
--sync_done true #Creates SYNC_DONE file when done in each folder
[!WARNING] Please provide pipeline parameters via the CLI or Nextflow
-params-fileoption. Custom config files including those provided by the-cNextflow option can be used to provide any configuration except for parameters; see docs.
For more details and further functionality, please refer to the usage documentation and the parameter documentation.
Pipeline output
To see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page. For more details about the output files and reports, please refer to the output documentation.
Credits
nf-core/datasync was originally written by Alexander Peltzer.
We thank the following people for their extensive assistance in the development of this pipeline:
Contributions and Support
If you would like to contribute to this pipeline, please see the contributing guidelines.
For further information or help, don't hesitate to get in touch on the Slack #datasync channel (you can join with this invite).
Citations
An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.
You can cite the nf-core publication as follows:
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.
Owner
- Name: nf-core
- Login: nf-core
- Kind: organization
- Email: core@nf-co.re
- Website: http://nf-co.re
- Twitter: nf_core
- Repositories: 84
- Profile: https://github.com/nf-core
A community effort to collect a curated set of analysis pipelines built using Nextflow.
Citation (CITATIONS.md)
# nf-core/datasync: Citations ## [nf-core](https://pubmed.ncbi.nlm.nih.gov/32055031/) > Ewels PA, Peltzer A, Fillinger S, Patel H, Alneberg J, Wilm A, Garcia MU, Di Tommaso P, Nahnsen S. The nf-core framework for community-curated bioinformatics pipelines. Nat Biotechnol. 2020 Mar;38(3):276-278. doi: 10.1038/s41587-020-0439-x. PubMed PMID: 32055031. ## [Nextflow](https://pubmed.ncbi.nlm.nih.gov/28398311/) > Di Tommaso P, Chatzou M, Floden EW, Barja PP, Palumbo E, Notredame C. Nextflow enables reproducible computational workflows. Nat Biotechnol. 2017 Apr 11;35(4):316-319. doi: 10.1038/nbt.3820. PubMed PMID: 28398311. ## Pipeline tools - [FastQC](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) > Andrews, S. (2010). FastQC: A Quality Control Tool for High Throughput Sequence Data [Online]. - [MultiQC](https://pubmed.ncbi.nlm.nih.gov/27312411/) > Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016 Oct 1;32(19):3047-8. doi: 10.1093/bioinformatics/btw354. Epub 2016 Jun 16. PubMed PMID: 27312411; PubMed Central PMCID: PMC5039924. ## Software packaging/containerisation tools - [Anaconda](https://anaconda.com) > Anaconda Software Distribution. Computer software. Vers. 2-2.4.0. Anaconda, Nov. 2016. Web. - [Bioconda](https://pubmed.ncbi.nlm.nih.gov/29967506/) > Grüning B, Dale R, Sjödin A, Chapman BA, Rowe J, Tomkins-Tinch CH, Valieris R, Köster J; Bioconda Team. Bioconda: sustainable and comprehensive software distribution for the life sciences. Nat Methods. 2018 Jul;15(7):475-476. doi: 10.1038/s41592-018-0046-7. PubMed PMID: 29967506. - [BioContainers](https://pubmed.ncbi.nlm.nih.gov/28379341/) > da Veiga Leprevost F, Grüning B, Aflitos SA, Röst HL, Uszkoreit J, Barsnes H, Vaudel M, Moreno P, Gatto L, Weber J, Bai M, Jimenez RC, Sachsenberg T, Pfeuffer J, Alvarez RV, Griss J, Nesvizhskii AI, Perez-Riverol Y. BioContainers: an open-source and community-driven framework for software standardization. Bioinformatics. 2017 Aug 15;33(16):2580-2582. doi: 10.1093/bioinformatics/btx192. PubMed PMID: 28379341; PubMed Central PMCID: PMC5870671. - [Docker](https://dl.acm.org/doi/10.5555/2600239.2600241) > Merkel, D. (2014). Docker: lightweight linux containers for consistent development and deployment. Linux Journal, 2014(239), 2. doi: 10.5555/2600239.2600241. - [Singularity](https://pubmed.ncbi.nlm.nih.gov/28494014/) > Kurtzer GM, Sochat V, Bauer MW. Singularity: Scientific containers for mobility of compute. PLoS One. 2017 May 11;12(5):e0177459. doi: 10.1371/journal.pone.0177459. eCollection 2017. PubMed PMID: 28494014; PubMed Central PMCID: PMC5426675.
GitHub Events
Total
- Watch event: 1
- Issue comment event: 9
- Push event: 11
- Pull request event: 11
- Pull request review event: 1
- Create event: 6
Last Year
- Watch event: 1
- Issue comment event: 9
- Push event: 11
- Pull request event: 11
- Pull request review event: 1
- Create event: 6
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: about 2 months
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.67
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: about 2 months
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.67
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- apeltzer (3)
- nf-core-bot (1)
Pull Request Authors
- nf-core-bot (10)
- grst (1)
Top Labels
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