# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# /opt/recipe, last modified Tue May  3 09:16:18 2022
# ------------------------------------------------

package:
  name: proteomiqon-labeledproteinquantification
  version: 0.0.1
source:
  sha256: 513dd36981cc4f834ec46fff32a19c613c271ac7c8996c7367ce4d0308bccf67
  url: https://www.nuget.org/api/v2/package/ProteomIQon.LabeledProteinQuantification/0.0.1
build:
  noarch: generic
  number: '1'
  string: hdfd78af_1
requirements:
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - libgcc-ng 11.2.0 h1d223b6_16
    - libgomp 11.2.0 h1d223b6_16
    - unzip 6.0 h7f98852_3
  run:
    - dotnet-runtime =5.0
    - openssl =1.1
test:
  commands:
    - proteomiqon-labeledproteinquantification --help
about:
  description: 'After quantification and protein inference are performed, it is known
    which peptide originated from which protein, as well as the intensity of each
    peptide.

    The information available for each peptide now needs to be aggragated for their
    proteins. This tool performs the aggregation from the peptides to the protein
    in several steps.

    The first step for the labeled protein quantification is the aggregation of the
    differently labeled peptides. Peptides with the same sequence, modifications and

    charge are aggregated and the ratio between the intensity from the light and heavy
    version is calculated.

    The next two aggregation steps are optional. One of them is the aggregation based
    on charge state. Similarily to the first step, peptides with the same sequence

    and modifications, but different charge states are being aggregated.

    The next optional step does the same for peptides with the same sequence, but
    different modification. Those steps build upon each other.

    The last step is the aggregation of all peptides of a protein.

    The result of each aggregation step is given as a tab separated file. The aggregation
    is performed according to the given parameters for each step.

    If an optional aggregation is not performed, the next step takes the result from
    the prior aggregation.

    For example, if aggregation by charge and modification are skipped, the protein
    aggregation gets a collection of peptides, where a peptidesequence can occur

    with different charge states and midifications.

    '
  dev_url: https://github.com/CSBiology/ProteomIQon
  doc_url: https://csbiology.github.io/ProteomIQon/tools/LabeledProteinQuantification.html
  home: https://csbiology.github.io/ProteomIQon/
  license: MIT
  summary: The tool LabeledProteinQuantification combines the results from ProteomIQon
    ProteinInference and ProteomIQon PSMBasedQuantification
extra:
  copy_test_source_files: true
  final: true
