Merge branch 'schema_updates_CW-5529' into 'dev'

Update schema

See merge request epi2melabs/workflows/wf-transcriptomes!197
This commit is contained in:
Neil Horner 2025-01-23 10:59:32 +00:00
commit 91a514abd2
5 changed files with 8 additions and 6 deletions

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@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
### Changed
- `split_bam` and `build_minimap_index_transcriptome` process memory allocation increased.
- Updated recommended memory requirement.
- Updated project description.
## [v1.6.1]
### Fixed

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@ -1,6 +1,6 @@
# Workflow Transcriptomes
Transcriptome analysis including assembly and annotation of cDNA and direct RNA sequencing data and differential expression analysis.
Transcriptome analysis of cDNA and direct RNA sequencing data.
@ -21,7 +21,7 @@ This workflow can be used for the following:
Recommended requirements:
+ CPUs = 16
+ Memory = 32GB
+ Memory = 64GB
Minimum requirements:

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Transcriptome analysis including assembly and annotation of cDNA and direct RNA sequencing data and differential expression analysis.
Transcriptome analysis of cDNA and direct RNA sequencing data.

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Recommended requirements:
+ CPUs = 16
+ Memory = 32GB
+ Memory = 64GB
Minimum requirements:

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@ -3,7 +3,7 @@
"$id": "https://raw.githubusercontent.com/./master/nextflow_schema.json",
"title": "epi2me-labs/wf-transcriptomes",
"workflow_title": "Workflow Transcriptomes",
"description": "Transcriptome analysis including assembly and annotation of cDNA and direct RNA sequencing data and differential expression analysis.",
"description": "Transcriptome analysis of cDNA and direct RNA sequencing data.",
"demo_url": "https://ont-exd-int-s3-euwst1-epi2me-labs.s3.amazonaws.com/wf-transcriptomes/wf-transcriptomes-demo.tar.gz",
"aws_demo_url": "https://ont-exd-int-s3-euwst1-epi2me-labs.s3.amazonaws.com/wf-transcriptomes/wf-transcriptomes-demo/aws.nextflow.config",
"url": "https://github.com/epi2me-labs/wf-transcriptomes",
@ -376,7 +376,7 @@
"resources": {
"recommended": {
"cpus": 16,
"memory": "32GB"
"memory": "64GB"
},
"minimum": {
"cpus": 8,