https://github.com/christophh/slamseq
SLAMSeq processing and analysis pipeline
Science Score: 23.0%
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○codemeta.json file
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✓DOI references
Found 21 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Last synced: 9 months ago
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Repository
SLAMSeq processing and analysis pipeline
Basic Info
- Host: GitHub
- Owner: ChristophH
- License: mit
- Default Branch: master
- Homepage: https://nf-co.re/slamseq
- Size: 4.2 MB
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- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of nf-core/slamseq
Created about 3 years ago
· Last pushed about 3 years ago
https://github.com/ChristophH/slamseq/blob/master/
#  [](https://github.com/nf-core/slamseq/actions) [](https://github.com/nf-core/slamseq/actions) [](https://www.nextflow.io/) [](http://bioconda.github.io/) [](https://hub.docker.com/r/nfcore/slamseq) [](https://doi.org/10.5281/zenodo.3826585) ## Introduction **nf-core/slamseq** is a bioinformatics analysis pipeline used for [SLAMSeq](https://doi.org/10.1038/nmeth.4435) sequencing data. The workflow processes SLAMSeq datasets using [Slamdunk](https://doi.org/10.1186/s12859-019-2849-7) and infers [direct transcriptional targets](https://doi.org/10.1126/science.aao2793) using [DESeq2](https://doi.org/10.1186/s13059-014-0550-8). The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible. ## Quick Start i. Install [`nextflow`](https://nf-co.re/usage/installation) ii. Install either [`Docker`](https://docs.docker.com/engine/installation/) or [`Singularity`](https://www.sylabs.io/guides/3.0/user-guide/) for full pipeline reproducibility (please only use [`Conda`](https://conda.io/miniconda.html) as a last resort; see [docs](https://nf-co.re/usage/configuration#basic-configuration-profiles)) iii. Download the pipeline and test it on a minimal dataset with a single command ```bash nextflow run nf-core/slamseq -profile test,``` > Please check [nf-core/configs](https://github.com/nf-core/configs#documentation) to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use `-profile ` in your command. This will enable either `docker` or `singularity` and set the appropriate execution settings for your local compute environment. iv. Start running your own analysis! ```bash nextflow run nf-core/slamseq -profile --input design.tsv --genome GRCh38 ``` See [usage docs](docs/usage.md) for all of the available options when running the pipeline. ## Documentation The nf-core/slamseq pipeline comes with documentation about the pipeline, found in the `docs/` directory: 1. [Installation](https://nf-co.re/usage/installation) 2. Pipeline configuration * [Local installation](https://nf-co.re/usage/local_installation) * [Adding your own system config](https://nf-co.re/usage/adding_own_config) * [Reference genomes](https://nf-co.re/usage/reference_genomes) 3. [Running the pipeline](docs/usage.md) 4. [Output and how to interpret the results](docs/output.md) 5. [Troubleshooting](https://nf-co.re/usage/troubleshooting) ## Credits nf-core/slamseq was originally written by Tobias Neumann ([@t-neumann](https://github.com/t-neumann)) for the use at the [IMP Vienna](https://www.imp.ac.at/). Many thanks to other who have helped out along the way too, including (but not limited to): [@apeltzer](https://github.com/apeltzer), [@drpatelh](https://github.com/drpatelh), [@pditommaso](https://github.com/pditommaso), [@maxulysse](https://github.com/MaxUlysse), [@ewels](https://github.com/ewels), [@zethson](https://github.com/Zethson), [@bgruening](https://github.com/bgruening), [@micans](https://github.com/micans). ## Contributions and Support If you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md). For further information or help, don't hesitate to get in touch on [Slack](https://nfcore.slack.com/channels/slamseq) (you can join with [this invite](https://nf-co.re/join/slack)). ## Citation If you use nf-core/slamseq for your analysis, please cite it using the following doi: [10.5281/zenodo.3826585](https://doi.org/10.5281/zenodo.3826585) You can cite `slamdunk` as follows: > **Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.** > > Tobias Neumann, Veronika A. Herzog, Matthias Muhar, Arndt von Haeseler, Johannes Zuber, Stefan L. Ameres & Philipp Rescheneder. > > _BMC Bioinformatics_ 2019 May 20. doi: [10.1186/s12859-019-2849-7](https://doi.org/10.1186/s12859-019-2849-7). 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](https://dx.doi.org/10.1038/s41587-020-0439-x). > ReadCube: [Full Access Link](https://rdcu.be/b1GjZ) An extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.
Owner
- Name: Christoph Hafemeister
- Login: ChristophH
- Kind: user
- Repositories: 1
- Profile: https://github.com/ChristophH