Merge pull request #90 from wilhelm-lab/feature/improve_compatiblity_…

…with_multiprocessing

Hotfix progress bar.

clients/python/koinapy/grpc.py

@@ -2,6 +2,8 @@
 import warnings
 from functools import partial
 from typing import Dict, Generator, KeysView, List, Optional, Union
+from math import ceil
+
 
 import numpy as np
 import pandas as pd
@@ -517,7 +519,7 @@ def __predict_semi_async(self, data, debug=False, disable_progress_bar=False):
         results = []
         data_subsets = list(self.__slice_dict(data, self.batchsize * 10))
         pbar = tqdm(
-            total=len(data_subsets) * 10,
+            total=ceil(next(iter(data.values())).shape[0] / self.batchsize),
             desc=f"{self.model_name}:",
             disable=disable_progress_bar,
         )

models/Prosit/Prosit_2023_intensity_timsTOF/notes.yaml

@@ -8,9 +8,9 @@ description: |
   The TOF Prosit 2023 model demonstrates consistent performance across different precursor charges, peptide lengths, and collision energies, with minimal bias towards C- and N-terminal amino acids. Both the tryptic and non-tryptic timsTOF data are available via PRIDE, with the identifiers PXD019086 and PXD043844, respectively.
 
 citation: |
-  Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in TimsTOF
-  Charlotte Adams, Wassim Gabriel, Kris Laukens, Mathias Wilhelm, Wout Bittremieux, Kurt Boonen
-  bioRxiv 2023.07.17.549401; doi: https://doi.org/10.1101/2023.07.17.549401
+  Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF.
+  Adams, C., Gabriel, W., Laukens, K. et al.
+  Nat Commun 15, 3956 (2024). https://doi.org/10.1038/s41467-024-48322-0
 tag: "Intensity"
 tag_url: "https://www.wilhelmlab.org/"
 examples: