[ci skip] Merge PR 28500

Merge PR bioconda#28500, commits were: 
 * Add ProteomIQon.PSMBasedQuantification
 * Merge branch 'master' of https://github.com/bioconda/bioconda-recipes
 * Merge branch 'master' of https://github.com/bioconda/bioconda-recipes
 * Merge pull request #1 from bioconda/master

Update Fork

recipes/proteomiqon-psmbasedquantification/meta.yaml

@@ -0,0 +1,42 @@
+{% set version = "0.0.4" %}
+{% set sha256 = "1588e773958ff09ff8d3023b1f6b4a14821b909bf7c700b8c75c9b4305f93cff" %}
+
+package:
+  name: proteomiqon-psmbasedquantification
+  version: '{{ version }}'
+
+source:
+  url: https://www.nuget.org/api/v2/package/ProteomIQon.PSMBasedQuantification/{{ version }}
+  sha256: '{{ sha256 }}'
+
+build:
+  noarch: generic
+  number: 0
+  script:
+    - dotnet tool install --add-source $SRC_DIR --tool-path $PREFIX/bin --version {{ version }} ProteomIQon.PSMBasedQuantification
+
+requirements:
+  host:
+    - dotnet-sdk
+  run:
+    - dotnet-runtime
+
+test:
+  commands:
+    - proteomiqon-psmbasedquantification --help
+
+about:
+  home: https://csbiology.github.io/ProteomIQon/
+  license: MIT
+  summary: The quantification tool was designed to allow label-free quantification as well as quantification of full metabolic labeled samples.
+  description: | 
+    Given an MS run in the mzLite or mzml format and a list of fdr controlled peptide spectrum matches, this tool iterates accross all identified MS/MS scans and groups them by
+    the assigned peptide ion. The scan times of each MS/MS spectrum are then weighted according to the quality of each match to build an reliable estimator for the scan time of
+    the peptide ion in question. This scan time estimator, combined with the monoisotopic m/z, is then used to extract an ion chromatogram. Using wavelet based peak detection 
+    techniques we identify all peaks present in the XIC and select the most probable peak our target for quantification. Using parameter estimation techniques we subsequently 
+    use peak fitting to fit a set of two gaussian models to the detected peak, from whom the one with the better fit is selected. This allows us not only to report how well 
+    the signal fitted to the theoretical expected peak shape but also to obtain accurate estimates for the peak area, our estimator for peptide ion abundance.
+    The quantification tool was designed to allow label-free quantification as well as quantification of full metabolic labeled samples. For this we use the known identity 
+    of one of the the peptide ions and calculate the m/z of the unobserved differentially labeled counterpart to extract and quantify the corresponding XIC.
+  dev_url: https://github.com/CSBiology/ProteomIQon
+  doc_url: https://csbiology.github.io/ProteomIQon/tools/PSMBasedQuantification.html