Remove TODOs and add contributors

README.md

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 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 uses Docker/Singularity containers making installation trivial and results highly reproducible. The [Nextflow DSL2](https://www.nextflow.io/docs/latest/dsl2.html) implementation of this pipeline uses one container per process which makes it much easier to maintain and update software dependencies. Where possible, these processes have been submitted to and installed from [nf-core/modules](https://github.com/nf-core/modules) in order to make them available to all nf-core pipelines, and to everyone within the Nextflow community!
 
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 On release, automated continuous integration tests run the pipeline on a full-sized dataset on the AWS cloud infrastructure. This ensures that the pipeline runs on AWS, has sensible resource allocation defaults set to run on real-world datasets, and permits the persistent storage of results to benchmark between pipeline releases and other analysis sources.The results obtained from the full-sized test can be viewed on the [nf-core website](https://nf-co.re/metapep/results).
 
 ## Pipeline summary
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 nf-core/metapep was originally written by Sabrina Krakau and Leon Kuchenbecker.
 
 We thank the following people for their extensive assistance in the development of this pipeline:
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+- Antonia Schuster
+- Daniel Straub
+- Till Englert
 
 ## Contributions and Support
 
@@ -85,8 +84,6 @@ For further information or help, don't hesitate to get in touch on the [Slack `#
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 <!-- If you use nf-core/metapep for your analysis, please cite it using the following doi: [10.5281/zenodo.XXXXXX](https://doi.org/10.5281/zenodo.XXXXXX) -->
 
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 An extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.
 
 You can cite the `nf-core` publication as follows: