From e90bf3f0a84235c594834a4c801281cf4d0735a0 Mon Sep 17 00:00:00 2001 From: ArthurDeclercq Date: Wed, 16 Sep 2026 11:10:29 +0200 Subject: [PATCH 1/2] reroute old link to the new bioinformatics tutorial --- tutorials/posts/2026-06-01-bioinformatics-for-proteomics.qmd | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tutorials/posts/2026-06-01-bioinformatics-for-proteomics.qmd b/tutorials/posts/2026-06-01-bioinformatics-for-proteomics.qmd index 937b33b..3f729db 100644 --- a/tutorials/posts/2026-06-01-bioinformatics-for-proteomics.qmd +++ b/tutorials/posts/2026-06-01-bioinformatics-for-proteomics.qmd @@ -3,6 +3,8 @@ title: "Bioinformatics for Proteomics" date: 2026-06-01 description: "The original hands-on CompOmics course on mass spectrometry-based proteomics data analysis: identification, functional analysis, data sharing, and quantification. Slides and exercise resources included. A modernised version is in preparation." categories: [proteomics, course, identification, quantification, data-sharing, searchgui, peptideshaker] +aliases: + - /bioinformatics-for-proteomics/ --- ```{=html} From 7832578c1b89054dc58164544bb4991b970781c5 Mon Sep 17 00:00:00 2001 From: Robbe Devreese <93122887+rodvrees@users.noreply.github.com> Date: Wed, 16 Sep 2026 11:22:03 +0200 Subject: [PATCH 2/2] Update link format in ms2rescore notebook --- tutorials/notebooks/ms2rescore.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorials/notebooks/ms2rescore.ipynb b/tutorials/notebooks/ms2rescore.ipynb index a362022..5c78a28 100644 --- a/tutorials/notebooks/ms2rescore.ipynb +++ b/tutorials/notebooks/ms2rescore.ipynb @@ -661,7 +661,7 @@ "\n", "## Next steps\n", "\n", - "- [Peptide property prediction tutorial](../posts/2026-06-10-peptide-predictor.qmd):\n", + "- [Peptide property prediction tutorial](../posts/2026-06-10-peptide-predictor.html):\n", " learn how the MS2PIP and DeepLC predictions used as rescoring features are generated.\n", "- [MS²Rescore documentation](https://ms2rescore.readthedocs.io)\n", "- Try adding the `ionmob` or `im2deep` feature generators if your data includes ion\n",