biobox/target/executable/agat/agat_convert_sp_gff2tsv/.config.vsh.yaml

name: "agat_convert_sp_gff2tsv"
namespace: "agat"
version: "main"
authors:
- name: "Leïla Paquay"
  roles:
  - "author"
  - "maintainer"
  info:
    links:
      email: "leila@data-intuitive.com"
      github: "Leila011"
      linkedin: "leilapaquay"
    organizations:
    - name: "Data Intuitive"
      href: "https://www.data-intuitive.com"
      role: "Software Developer"
argument_groups:
- name: "Inputs"
  arguments:
  - type: "file"
    name: "--gff"
    alternatives:
    - "-f"
    description: "Input GTF/GFF file."
    info: null
    example:
    - "input.gff"
    must_exist: true
    create_parent: true
    required: true
    direction: "input"
    multiple: false
    multiple_sep: ";"
- name: "Outputs"
  arguments:
  - type: "file"
    name: "--output"
    alternatives:
    - "-o"
    - "--out"
    - "--outfile"
    description: "Output GFF file. If no output file is specified, the output will\
      \ be written to STDOUT."
    info: null
    example:
    - "output.gff"
    must_exist: true
    create_parent: true
    required: true
    direction: "output"
    multiple: false
    multiple_sep: ";"
- name: "Arguments"
  arguments:
  - type: "file"
    name: "--config"
    alternatives:
    - "-c"
    description: "String - Input agat config file. By default AGAT takes as input\n\
      agat_config.yaml file from the working directory if any,\notherwise it takes\
      \ the orignal agat_config.yaml shipped with\nAGAT. To get the agat_config.yaml\
      \ locally type: \"agat config\n--expose\". The --config option gives you the\
      \ possibility to use\nyour own AGAT config file (located elsewhere or named\n\
      differently).        \n"
    info: null
    example:
    - "custom_agat_config.yaml"
    must_exist: true
    create_parent: true
    required: false
    direction: "input"
    multiple: false
    multiple_sep: ";"
resources:
- type: "bash_script"
  path: "script.sh"
  is_executable: true
description: "The script aims to convert gtf/gff file into tabulated file. Attribute's\n\
  tags from the 9th column become column titles.\n"
test_resources:
- type: "bash_script"
  path: "test.sh"
  is_executable: true
- type: "file"
  path: "test_data"
info: null
status: "enabled"
scope:
  image: "public"
  target: "public"
requirements:
  commands:
  - "ps"
keywords:
- "gene annotations"
- "GFF conversion"
license: "GPL-3.0"
references:
  doi:
  - "10.5281/zenodo.3552717"
links:
  repository: "https://github.com/NBISweden/AGAT"
  homepage: "https://github.com/NBISweden/AGAT"
  documentation: "https://agat.readthedocs.io/en/latest/tools/agat_convert_sp_gff2tsv.html"
  issue_tracker: "https://github.com/NBISweden/AGAT/issues"
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"
  debug: false
  container: "docker"
engines:
- type: "docker"
  id: "docker"
  image: "quay.io/biocontainers/agat:1.4.0--pl5321hdfd78af_0"
  target_registry: "images.viash-hub.com"
  target_tag: "main"
  namespace_separator: "/"
  setup:
  - type: "docker"
    run:
    - "agat --version | sed 's/AGAT\\s\\(.*\\)/agat: \"\\1\"/' > /var/software_versions.txt\n"
  entrypoint: []
  cmd: null
- type: "native"
  id: "native"
build_info:
  config: "src/agat/agat_convert_sp_gff2tsv/config.vsh.yaml"
  runner: "executable"
  engine: "docker|native"
  output: "target/executable/agat/agat_convert_sp_gff2tsv"
  executable: "target/executable/agat/agat_convert_sp_gff2tsv/agat_convert_sp_gff2tsv"
  viash_version: "0.9.4"
  git_commit: "b0db228825f3441b4651527e8775e8fc87d06e60"
  git_remote: "https://github.com/viash-hub/biobox"
  git_tag: "v0.2.0-35-gb0db228"
package_config:
  name: "biobox"
  version: "main"
  summary: "A curated collection of high-quality, standalone bioinformatics components\
    \ built with [Viash](https://viash.io).\n"
  description: "`biobox` offers a suite of reliable bioinformatics components, similar\
    \ to [nf-core/modules](https://github.com/nf-core/modules) and [snakemake-wrappers/bio](https://github.com/snakemake/snakemake-wrappers/tree/master/bio),\
    \ but built using the [Viash](https://viash.io) framework.\n\nThis approach emphasizes\
    \ **reusability**, **reproducibility**, and adherence to **best practices**. Key\
    \ features of `biobox` components include:\n\n* **Standalone & Nextflow Ready:**\
    \ Run components directly via the command line or seamlessly integrate them into\
    \ Nextflow workflows.\n* **High Quality Standards:**\n    * Comprehensive documentation\
    \ for components and parameters.\n    * Full exposure of underlying tool arguments.\n\
    \    * Containerized (Docker) for dependency management and reproducibility.\n\
    \    * Unit tested for verified functionality.\n"
  info: null
  viash_version: "0.9.4"
  source: "src"
  target: "target"
  config_mods:
  - ".requirements.commands := ['ps']\n"
  - ".engines += { type: \"native\" }"
  - ".engines[.type == 'docker'].target_registry := 'images.viash-hub.com'"
  - ".engines[.type == 'docker'].target_tag := 'main'"
  keywords:
  - "bioinformatics"
  - "modules"
  - "sequencing"
  license: "MIT"
  organization: "vsh"
  links:
    repository: "https://github.com/viash-hub/biobox"
    issue_tracker: "https://github.com/viash-hub/biobox/issues"