upstream/inoue0426-awesome-computational-biology/catalogue/data/resources.yml

@@ -2,9 +2,9 @@
 title: "Awesome Computational Biology - machine-readable resource list"
 task: ""
 lineage_type: import
-upstream_source: https://github.com/inoue0426/awesome-computational-biology/blob/7a064bf0/data/resources.yml
-upstream_sha: 7a064bf0
-imported_at: 2026-08-08
+upstream_source: https://github.com/inoue0426/awesome-computational-biology/blob/c6f07d90/data/resources.yml
+upstream_sha: c6f07d90
+imported_at: 2026-08-31
 prompt_class: catalogue
 upstream_changes: accepted
 author: upstream
@@ -1183,6 +1183,17 @@ resources:
     organism: []
     api: false
 
+  - id: oncokb
+    name: "OncoKB"
+    type: database
+    url: https://www.oncokb.org/
+    description: "Precision oncology knowledge base of cancer genes, variants, and therapeutic implications."
+    tags: [genome]
+    tasks: []
+    modalities: [Genomics]
+    organism: []
+    api: false
+
   - id: open_targets_platform
     name: "Open Targets Platform"
     type: database
@@ -2243,7 +2254,7 @@ resources:
     name: "MIDAS"
     type: model
     url: https://github.com/labomics/midas
-    description: "Mosaic integration and differential accessibility model for single-cell multi-omics data that handles arbitrary missing-modality combinations across transcriptomics, chromatin accessibility, and proteomics."
+    description: "Mosaic integration and differential accessibility model for single-cell multi-omics that handles arbitrary missing-modality combinations across transcriptomics, chromatin accessibility, and proteomics."
     tags: [foundation-models, multi-omics-foundation-models, single-cell-foundation-models]
     tasks: [Foundation Model]
     modalities: [Multi-Omics, Single Cell]
@@ -2382,6 +2393,17 @@ resources:
     organism: []
     api: false
 
+  - id: nbbayeslm
+    name: "NbBayesLM"
+    type: model
+    url: https://github.com/FairuzShadmaniShishir/NbBayesLM
+    description: "Bayesian neural network integrating protein language model embeddings and physicochemical features to predict nanobody thermostability with uncertainty estimates. [Paper](https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2026.1832968/full)"
+    tags: [protein-property-prediction]
+    tasks: [Protein Property Prediction]
+    modalities: [Protein]
+    organism: []
+    api: false
+
   - id: neodti
     name: "NeoDTI"
     type: model
@@ -2980,7 +3002,7 @@ resources:
     name: "DeepTalk"
     type: toolkit
     url: https://github.com/JiangBioLab/DeepTalk
-    description: "Graph attention network for deciphering cell-cell communication from spatial transcriptomics data."
+    description: "Graph attention network for deciphering cell-cell communication from spatial transcriptomics."
     tags: [preprocessing-tools]
     tasks: [Preprocessing]
     modalities: []