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name : "create_fdata"
namespace : "eset"
version : "main"
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authors :
- name : "Dries Schaumont"
roles :
- "maintainer"
info :
links :
email : "dries@data-intuitive.com"
github : "DriesSchaumont"
orcid : "0000-0002-4389-0440"
linkedin : "dries-schaumont"
organizations :
- name : "Data Intuitive"
href : "https://www.data-intuitive.com"
role : "Data Scientist"
- name : "Marijke Van Moerbeke"
roles :
- "contributor"
info :
links :
github : "mvanmoerbeke"
orcid : "0000-0002-3097-5621"
linkedin : "marijke-van-moerbeke-84303a34"
organizations :
- name : "OpenAnalytics"
href : "https://www.openanalytics.eu"
role : "Statistical Consultant"
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argument_groups :
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- name : "Arguments"
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arguments :
- type : "file"
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name : "--gtf"
description : "Genome annotation file in GTF format."
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info : null
must_exist : true
create_parent : true
required : true
direction : "input"
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multiple : false
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multiple_sep : ";"
- type : "file"
name : "--output"
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description : "Tab-delimited text file containing information about the 'gene'\
\ or 'transcript'\nentries from the input GTF file. The 'transcript' entries\
\ are used in case the source\nof the GTF was 'refGene' or 'ncbiRefSeq'. \n"
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info : null
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default :
- "fData.$id.txt"
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must_exist : true
create_parent : true
required : false
direction : "output"
multiple : false
multiple_sep : ";"
resources :
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- type : "python_script"
path : "create_fdata.py"
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is_executable : true
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- type : "file"
path : "nextflow_labels.config"
dest : "nextflow_labels.config"
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- type : "file"
path : "_viash.yaml"
dest : "_viash.yaml"
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description : "Create a fdata file\n"
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test_resources :
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- type : "python_script"
path : "test.py"
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is_executable : true
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- type : "file"
path : "test_annotation.gtf"
info : null
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status : "enabled"
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scope :
image : "public"
target : "public"
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requirements :
commands :
- "ps"
license : "MIT"
links :
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repository : "https://github.com/viash-hub/htrnaseq"
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runners :
- type : "executable"
id : "executable"
docker_setup_strategy : "ifneedbepullelsecachedbuild"
- type : "nextflow"
id : "nextflow"
directives :
tag : "$id"
auto :
simplifyInput : true
simplifyOutput : false
transcript : false
publish : false
config :
labels :
mem1gb : "memory = 1000000000.B"
mem2gb : "memory = 2000000000.B"
mem5gb : "memory = 5000000000.B"
mem10gb : "memory = 10000000000.B"
mem20gb : "memory = 20000000000.B"
mem50gb : "memory = 50000000000.B"
mem100gb : "memory = 100000000000.B"
mem200gb : "memory = 200000000000.B"
mem500gb : "memory = 500000000000.B"
mem1tb : "memory = 1000000000000.B"
mem2tb : "memory = 2000000000000.B"
mem5tb : "memory = 5000000000000.B"
mem10tb : "memory = 10000000000000.B"
mem20tb : "memory = 20000000000000.B"
mem50tb : "memory = 50000000000000.B"
mem100tb : "memory = 100000000000000.B"
mem200tb : "memory = 200000000000000.B"
mem500tb : "memory = 500000000000000.B"
mem1gib : "memory = 1073741824.B"
mem2gib : "memory = 2147483648.B"
mem4gib : "memory = 4294967296.B"
mem8gib : "memory = 8589934592.B"
mem16gib : "memory = 17179869184.B"
mem32gib : "memory = 34359738368.B"
mem64gib : "memory = 68719476736.B"
mem128gib : "memory = 137438953472.B"
mem256gib : "memory = 274877906944.B"
mem512gib : "memory = 549755813888.B"
mem1tib : "memory = 1099511627776.B"
mem2tib : "memory = 2199023255552.B"
mem4tib : "memory = 4398046511104.B"
mem8tib : "memory = 8796093022208.B"
mem16tib : "memory = 17592186044416.B"
mem32tib : "memory = 35184372088832.B"
mem64tib : "memory = 70368744177664.B"
mem128tib : "memory = 140737488355328.B"
mem256tib : "memory = 281474976710656.B"
mem512tib : "memory = 562949953421312.B"
cpu1 : "cpus = 1"
cpu2 : "cpus = 2"
cpu5 : "cpus = 5"
cpu10 : "cpus = 10"
cpu20 : "cpus = 20"
cpu50 : "cpus = 50"
cpu100 : "cpus = 100"
cpu200 : "cpus = 200"
cpu500 : "cpus = 500"
cpu1000 : "cpus = 1000"
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script :
- "includeConfig(\"nextflow_labels.config\")"
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debug : false
container : "docker"
engines :
- type : "docker"
id : "docker"
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image : "python:3.12-slim"
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target_registry : "images.viash-hub.com"
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target_tag : "main"
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namespace_separator : "/"
setup :
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- type : "apt"
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packages :
- "procps"
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interactive : false
- type : "python"
user : false
packages :
- "pandas"
upgrade : true
test_setup :
- type : "python"
user : false
packages :
- "viashpy"
upgrade : true
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entrypoint : [ ]
cmd : null
- type : "native"
id : "native"
build_info :
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config : "src/eset/create_fdata/config.vsh.yaml"
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runner : "nextflow"
engine : "docker|native"
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output : "target/nextflow/eset/create_fdata"
executable : "target/nextflow/eset/create_fdata/main.nf"
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viash_version : "0.9.4"
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git_commit : "5d5edb788838401c29a4de50b74bb75d5bce6b98"
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git_remote : "https://github.com/viash-hub/htrnaseq"
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package_config :
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name : "htrnaseq"
version : "main"
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summary : "A workflow for high-throughput RNA-seq data analyses.\n"
description : "This workflow is designed to process high-throughput RNA-seq data,\
\ where every\nwell of a microarray plate is a sample. A fasta file provided as\
\ input\ndefines the mapping between sample barcodes and wells.\n\nThe workflow\
\ is built in a modular fashion, where most of the base functionality\nis provided\
\ by components from [`biobox`](https://www.viash-hub.com/packages/biobox/latest)\n\
supplemented by custom base components and workflow components in this package.\n\
\nThe full workflow is split in two major subworkflows that can be run independently:\n\
\n* **Well-demultiplexing:** Split the input (plate/pool level) fastq files per\
\ well.\n* **Mapping, counting and QC:** Run per-well mapping, counting and generate\
\ QC reports.\n\nEach of those can be started individually, or the full workflow\
\ can be run in two ways:\n\n1. Run the [main workflow](https://www.viash-hub.com/packages/htrnaseq/v0.3.0/components/workflows/htrnaseq)\
\ \ncontaining the main functionality.\n2. Run the [(opinionated) `runner`](https://www.viash-hub.com/packages/htrnaseq/v0.3.0/components/workflows/runner)\
\ where a\nnumber of choices (input/output structure and location) have been made.\n\
\nInput for the workflow has to be `fastq` files (zipped or not). For bcl or other\
\ formats, please consider running\n[demultiplex](https://www.viash-hub.com/packages/demultiplex)\
\ first.\n"
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info :
test_resources :
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- path : "gs://viash-hub-resources/htrnaseq/v2"
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dest : "resources_test"
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viash_version : "0.9.4"
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source : "src"
target : "target"
config_mods :
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- ".requirements.commands := ['ps']\n.runners[.type == 'nextflow'].config.script\
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\ += 'includeConfig(\"nextflow_labels.config\")'\n.resources += {path: '/src/config/labels.config',\
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\ dest : 'nextflow_labels.config' }\n.resources += {path: '/_viash.yaml', dest:\
\ '_viash.yaml'}\n"
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- ".engines += { type: \"native\" }"
- ".engines[.type == 'docker'].target_registry := 'images.viash-hub.com'"
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- ".engines[.type == 'docker'].target_tag := 'main'"
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keywords :
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- "bioinformatics"
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- "sequencing"
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- "high-throughput"
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- "RNAseq"
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- "mapping"
- "counting"
- "pipeline"
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- "workflow"
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license : "MIT"
organization : "vsh"
links :
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repository : "https://github.com/viash-hub/htrnaseq"
issue_tracker : "https://github.com/viash-hub/htrnaseq/issues"