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Back to business #679

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Jul 22, 2022
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16 changes: 16 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -5,6 +5,22 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [dev](https://github.com/nf-core/sarek/tree/dev)

### Added

### Changed

- [#679](https://github.com/nf-core/sarek/pull/679) - Back to `dev`

### Fixed

- [#679](https://github.com/nf-core/sarek/pull/679) - Fixed typos in subway maps

### Deprecated

### Removed

## [3.0](https://github.com/nf-core/sarek/releases/tag/3.0) - Skierfe

Skierfe is a mountain in the Sarek national park, and the inspiration for the logo.
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -23,7 +23,7 @@

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!

<!-- 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/sarek/results). -->
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/sarek/results).
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🤦‍♀️ well there is always something to forget


It's listed on [Elixir - Tools and Data Services Registry](https://bio.tools/nf-core-sarek) and [Dockstore](https://dockstore.org/workflows/github.com/nf-core/sarek).

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2,038 changes: 1,013 additions & 1,025 deletions docs/images/sarek_indices_subway.svg
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84 changes: 43 additions & 41 deletions docs/images/sarek_subway.svg
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2 changes: 1 addition & 1 deletion nextflow.config
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Expand Up @@ -235,7 +235,7 @@ manifest {
description = 'An open-source analysis pipeline to detect germline or somatic variants from whole genome or targeted sequencing'
mainScript = 'main.nf'
nextflowVersion = '!>=21.10.3'
version = '3.0'
version = '3.1dev'
}

// Load modules.config for DSL2 module specific options
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