From 85e3a73a6609dcd0df4f7e1a61703191d9e03c2b Mon Sep 17 00:00:00 2001 From: Phap Dieu Duong Date: Fri, 24 Jul 2026 17:27:33 +0800 Subject: [PATCH] hide antibody hit selection --- source/walkthroughs/antibody-hit-selection-ngs.rst | 2 ++ source/walkthroughs/index.rst | 3 --- source/web-app/opmodels/dataset-assay-tools.rst | 8 -------- 3 files changed, 2 insertions(+), 11 deletions(-) diff --git a/source/walkthroughs/antibody-hit-selection-ngs.rst b/source/walkthroughs/antibody-hit-selection-ngs.rst index 52b410f..020c0b5 100644 --- a/source/walkthroughs/antibody-hit-selection-ngs.rst +++ b/source/walkthroughs/antibody-hit-selection-ngs.rst @@ -1,3 +1,5 @@ +:orphan: + ============================================ Antibody hit selection from NGS data ============================================ diff --git a/source/walkthroughs/index.rst b/source/walkthroughs/index.rst index 2a02c91..4ee3cdf 100644 --- a/source/walkthroughs/index.rst +++ b/source/walkthroughs/index.rst @@ -15,8 +15,6 @@ Web App - Tools covered * - `Lead optimization of monoclonal antibody to meet target product profile <./antibody-engineering.rst>`_ - Optimization and Prediction Models - * - `Antibody hit selection from NGS data <./antibody-hit-selection-ngs.rst>`_ - - Optimization and Prediction Models * - `Finding mutational hotspots and designing one-shot variant libraries <./enzyme-engineering.rst>`_ - PoET, Structure Prediction * - `Designing libraries of multimeric proteins <./multichain.rst>`_ @@ -77,7 +75,6 @@ Python API :maxdepth: 2 Lead optimization of monoclonal antibody to meet target product profile - Antibody hit selection from NGS data Finding mutational hotspots and designing one-shot variant libraries Predicting the fitness of isomerases without experimental data <./predicting-fitness.ipynb> Understanding the impact of substitution and deletions on aliphatic amidase using different large language models <./AMIE_substitution_deletion_analysis_poet.ipynb> diff --git a/source/web-app/opmodels/dataset-assay-tools.rst b/source/web-app/opmodels/dataset-assay-tools.rst index 5efa6c9..da96db6 100644 --- a/source/web-app/opmodels/dataset-assay-tools.rst +++ b/source/web-app/opmodels/dataset-assay-tools.rst @@ -8,9 +8,6 @@ sequences in an uploaded assay dataset. It brings together four tools: **Antibody settings panel** that appears automatically on antibody datasets. This page describes what each tool does and how to use it. -For an end-to-end walkthrough that combines these tools to select hits from an NGS antibody library, see -:doc:`/walkthroughs/antibody-hit-selection-ngs`. - .. figure:: /_static/opmodels/dataset-assay/dataset-assay-overview.png :alt: Dataset Assay Details page overview, showing tabs, header chips, and action bar @@ -303,8 +300,3 @@ chains. Heavy+Kappa rows and some Heavy+Lambda rows, with mismatched/missing chain detection is flagged in the table with a warning style — useful as a first-pass quality check on the NGS pipeline output. - -.. seealso:: - - :doc:`/walkthroughs/antibody-hit-selection-ngs` — recommended end-to-end - flow that uses these features to select antibody hits from an NGS library.