RE: https://waag.social/@henk/115886429344110445
sounds like a good spot for a #biohackathon too :)
Egon Willigh☮gen 🟥
boosted
"QPX: Pathway analysis environment" https://doi.org/10.37044/osf.io/m37f2_v1
"Building on our work at DBCLS BioHackathon 2023 (BH23), where we introduced QPX and promoted pathway modeling with WikiPathways (Pico et al., 2008) using PathVisio (Kutmon etal., 2015), we now focused on creating new pathway diagrams for diverse species and registering them in WikiPathways with functional annotations. In parallel, we deployed WikiPathways node data into Elasticsearch to enable fast and flexible search and integration of pathway information." https://osf.io/m37f2_v1
![Screenshot of the linked BioHackrXiv preprint, showing the top half of a preprint PDF page, showing the BioHackrXiv logo from the template, a table at the top listing a Arabidopsis thaliana pathway, and below that part of Figure 1 showing a "[p]athway diagram for for Caffeine synthesis inCoffea arabica. This diagram is already published in WikiPathways at https://www.wikipathways.org/pathways/WP5586.html".](https://fediscience.org/system/media_attachments/files/115/850/137/016/151/503/original/24e4b1149fa9ef66.png)
"QPX: Pathway analysis environment" https://doi.org/10.37044/osf.io/m37f2_v1
"Building on our work at DBCLS BioHackathon 2023 (BH23), where we introduced QPX and promoted pathway modeling with WikiPathways (Pico et al., 2008) using PathVisio (Kutmon etal., 2015), we now focused on creating new pathway diagrams for diverse species and registering them in WikiPathways with functional annotations. In parallel, we deployed WikiPathways node data into Elasticsearch to enable fast and flexible search and integration of pathway information." https://osf.io/m37f2_v1
Christian Meesters
and 1 other
boosted
2025 has come to an end. This year, we published 45 preprints resulting from 16 different biohackathons. Sometimes reports come in late, as we will see. A quick list of #biohackathon meetings with preprints in 2025:
- DBCLS BioHackathon 2023 #BH23JP: https://index.biohackrxiv.org/tag/BH23JP
- DBCLS BioHackathon 2024 #BH24JP: https://index.biohackrxiv.org/tag/BH24JP
- DBCLS BioHackathon 2025 #BH25JP: https://index.biohackrxiv.org/tag/BH25JP
- BioHackathon Europe 2023 #BH23EU: https://index.biohackrxiv.org/tag/BH23EU
- BioHackathon Europe 2024 #BH24EU: https://index.biohackrxiv.org/tag/BH24EU
- BioHackathon Europe 2025 #BioHackEU25: https://index.biohackrxiv.org/tag/BioHackEU25
- 2nd BioHackathon Germany 2023 #BH23DE: https://index.biohackrxiv.org/tag/BH23DE
- 3rd BioHackathon Germany 2024 #BH24DE: https://index.biohackrxiv.org/tag/BH24DE
- 16th International SWAT4HCLS Conference 2025 #SWAT4HCLS25: https://index.biohackrxiv.org/tag/SWAT4HCLS25
And seven others! A full overview is found on this page: https://index.biohackrxiv.org/meetings/
2025 has come to an end. This year, we published 45 preprints resulting from 16 different biohackathons. Sometimes reports come in late, as we will see. A quick list of #biohackathon meetings with preprints in 2025:
- DBCLS BioHackathon 2023 #BH23JP: https://index.biohackrxiv.org/tag/BH23JP
- DBCLS BioHackathon 2024 #BH24JP: https://index.biohackrxiv.org/tag/BH24JP
- DBCLS BioHackathon 2025 #BH25JP: https://index.biohackrxiv.org/tag/BH25JP
- BioHackathon Europe 2023 #BH23EU: https://index.biohackrxiv.org/tag/BH23EU
- BioHackathon Europe 2024 #BH24EU: https://index.biohackrxiv.org/tag/BH24EU
- BioHackathon Europe 2025 #BioHackEU25: https://index.biohackrxiv.org/tag/BioHackEU25
- 2nd BioHackathon Germany 2023 #BH23DE: https://index.biohackrxiv.org/tag/BH23DE
- 3rd BioHackathon Germany 2024 #BH24DE: https://index.biohackrxiv.org/tag/BH24DE
- 16th International SWAT4HCLS Conference 2025 #SWAT4HCLS25: https://index.biohackrxiv.org/tag/SWAT4HCLS25
And seven others! A full overview is found on this page: https://index.biohackrxiv.org/meetings/
Egon Willigh☮gen 🟥
boosted
"BioHackEU25 Report Project 16: MiCoReCa (Microbiome Community Resource Catalogue) - Towards Centralized Curation And Integration Of Microbiome Bioinformatics Resources" https://doi.org/10.37044/osf.io/jfpsx_v1
"To address this critical gap, the ELIXIR Microbiome Community proposes the development of MiCoReCa (Microbiome Community Resource Catalogue), a comprehensive, dynamic, open-access catalogue of microbiome-related bioinformatics resources (tools, workflows, training, standards, and databases). Leveraging our community’s expertise, this initiative will utilize standardized ontologies like EDAM and cross-reference established platforms like bio.tools and WorkflowHub to create a centralized, findable inventory." https://index.biohackrxiv.org/2025/12/31/jfpsx.html
BioHackrXiv Preprints
BioHackEU25 Report Project 16: MiCoReCa (Microbiome Community Resource Catalogue) - Towards Centralized Curation And Integration Of Microbiome Bioinformatics Resources
The rapid growth of microbiome research has led to the development of numerous bioinformatics tools and databases, but information about them remains fragmented across disparate, often outdated cataloging efforts, hindering resource discovery and utilization. To address this critical gap, the ELIXIR Microbiome Community proposes the development of MiCoReCa (Microbiome Community Resource Catalogue), a comprehensive, dynamic, open-access catalogue of microbiome-related bioinformatics resources (tools, workflows, training, standards, and databases). Leveraging our community’s expertise, this initiative will utilize standardized ontologies like EDAM and cross-reference established platforms like bio.tools and WorkflowHub to create a centralized, findable inventory. A key feature is the community-driven process for identifying and curating missing ontological terms and metadata, ensuring MiCoReCa’s accuracy and relevance in collaboration with partner platforms. Furthermore, the catalogue will integrate links to training materials from TeSS to support appropriate tool usage, and connect with OpenEBench for benchmarking capabilities. This project will not only provide a vital resource for the microbiome field, enhancing research efficiency and reproducibility, but will also establish a sustainable, adaptable infrastructure potentially applicable to other ELIXIR Communities. This effort represents a significant contribution by the ELIXIR Microbiome Community to streamline microbiome bioinformatics.
⁂
More from
BioHackrXiv
"BioHackEU25 Report Project 16: MiCoReCa (Microbiome Community Resource Catalogue) - Towards Centralized Curation And Integration Of Microbiome Bioinformatics Resources" https://doi.org/10.37044/osf.io/jfpsx_v1
"To address this critical gap, the ELIXIR Microbiome Community proposes the development of MiCoReCa (Microbiome Community Resource Catalogue), a comprehensive, dynamic, open-access catalogue of microbiome-related bioinformatics resources (tools, workflows, training, standards, and databases). Leveraging our community’s expertise, this initiative will utilize standardized ontologies like EDAM and cross-reference established platforms like bio.tools and WorkflowHub to create a centralized, findable inventory." https://index.biohackrxiv.org/2025/12/31/jfpsx.html
BioHackrXiv Preprints
BioHackEU25 Report Project 16: MiCoReCa (Microbiome Community Resource Catalogue) - Towards Centralized Curation And Integration Of Microbiome Bioinformatics Resources
The rapid growth of microbiome research has led to the development of numerous bioinformatics tools and databases, but information about them remains fragmented across disparate, often outdated cataloging efforts, hindering resource discovery and utilization. To address this critical gap, the ELIXIR Microbiome Community proposes the development of MiCoReCa (Microbiome Community Resource Catalogue), a comprehensive, dynamic, open-access catalogue of microbiome-related bioinformatics resources (tools, workflows, training, standards, and databases). Leveraging our community’s expertise, this initiative will utilize standardized ontologies like EDAM and cross-reference established platforms like bio.tools and WorkflowHub to create a centralized, findable inventory. A key feature is the community-driven process for identifying and curating missing ontological terms and metadata, ensuring MiCoReCa’s accuracy and relevance in collaboration with partner platforms. Furthermore, the catalogue will integrate links to training materials from TeSS to support appropriate tool usage, and connect with OpenEBench for benchmarking capabilities. This project will not only provide a vital resource for the microbiome field, enhancing research efficiency and reproducibility, but will also establish a sustainable, adaptable infrastructure potentially applicable to other ELIXIR Communities. This effort represents a significant contribution by the ELIXIR Microbiome Community to streamline microbiome bioinformatics.
⁂
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BioHackrXiv
Christian Meesters
and 1 other
boosted
"Mining the potential of knowledge graphs for metadata on training" https://doi.org/10.37044/osf.io/gv2ac_v1
"A dedicated pipeline parses RDF/Turtle dumps, deduplicates entries, and builds rich indexes (keyword, provider, location, date, topic) that power a Model Context Protocol (MCP) server. The MCP offers live and offline search tools—including keyword, provider, location, date, topic, and SPARQL queries" https://index.biohackrxiv.org/2025/11/29/gv2ac.html
Egon Willigh☮gen 🟥
boosted
"A Blueprint for Open Science: How Transatlantic Teams Built and Deployed Knowledge Graphs to Enable Biological (AI) Models" https://doi.org/10.37044/osf.io/g4rk2_v1
"these projects and pipelines showcase methods for constructing KGs from existing biomedical datasets andexemplify the practical deployment of GraphRAG in real-world biomedical context, thereby advancing the biomedical sciences [..]" https://index.biohackrxiv.org/2025/11/26/g4rk2.html
Egon Willigh☮gen 🟥
boosted
"BioHackEU25 report: Scop3PTM Next - Interactive visualization of PTM data across sequence, structure and interactions" https://doi.org/10.37044/osf.io/xvrud_v1
"Scop3PTM Next was developed during BioHackathon Europe 2025 to address the need for integrated visualization of protein-centric data across sequence (and modification), interaction and structural contexts." https://index.biohackrxiv.org/2025/11/26/xvrud.html
"Mining the potential of knowledge graphs for metadata on training" https://doi.org/10.37044/osf.io/gv2ac_v1
"A dedicated pipeline parses RDF/Turtle dumps, deduplicates entries, and builds rich indexes (keyword, provider, location, date, topic) that power a Model Context Protocol (MCP) server. The MCP offers live and offline search tools—including keyword, provider, location, date, topic, and SPARQL queries" https://index.biohackrxiv.org/2025/11/29/gv2ac.html
"A Blueprint for Open Science: How Transatlantic Teams Built and Deployed Knowledge Graphs to Enable Biological (AI) Models" https://doi.org/10.37044/osf.io/g4rk2_v1
"these projects and pipelines showcase methods for constructing KGs from existing biomedical datasets andexemplify the practical deployment of GraphRAG in real-world biomedical context, thereby advancing the biomedical sciences [..]" https://index.biohackrxiv.org/2025/11/26/g4rk2.html
"BioHackEU25 report: Scop3PTM Next - Interactive visualization of PTM data across sequence, structure and interactions" https://doi.org/10.37044/osf.io/xvrud_v1
"Scop3PTM Next was developed during BioHackathon Europe 2025 to address the need for integrated visualization of protein-centric data across sequence (and modification), interaction and structural contexts." https://index.biohackrxiv.org/2025/11/26/xvrud.html
Call for Biohackathon topics: "SWAT4HCLS Biohackathon 2026, Amsterdan, The Netherlands" https://www.swat4ls.org/swat4hcls-biohackathon-2026/
Egon Willigh☮gen 🟥
boosted
"DBCLS BioHackathon 2025 report on the WikiBlitz" https://doi.org/10.37044/osf.io/7s6da_v1
"As part of the DBCLS BioHackathon 2025, we organized a WikiBlitz to improve biodiversity knowledge by integrating iNaturalist, GBIF, Wikidata, and Wikipedia. Participants identified local flora and fauna, filling gaps in multilingual Wikipedia articles. This report summarizes the methodology, results, and insights, illustrating the usefulness of combining citizen science with digital platforms to enrich ecological data and promote biodiversity awareness." https://index.biohackrxiv.org/2025/10/24/7s6da.html
By @Andrawaag et al.
"DBCLS BioHackathon 2025 report on the WikiBlitz" https://doi.org/10.37044/osf.io/7s6da_v1
"As part of the DBCLS BioHackathon 2025, we organized a WikiBlitz to improve biodiversity knowledge by integrating iNaturalist, GBIF, Wikidata, and Wikipedia. Participants identified local flora and fauna, filling gaps in multilingual Wikipedia articles. This report summarizes the methodology, results, and insights, illustrating the usefulness of combining citizen science with digital platforms to enrich ecological data and promote biodiversity awareness." https://index.biohackrxiv.org/2025/10/24/7s6da.html
By @Andrawaag et al.
Egon Willigh☮gen 🟥
boosted
"on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers" https://doi.org/10.37044/osf.io/4f763_v1
"Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks." https://index.biohackrxiv.org//2025/10/21/4f763.html
BioHackrXiv Preprints
on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers
Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks.
⁂
More from
BioHackrXiv
"on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers" https://doi.org/10.37044/osf.io/4f763_v1
"Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks." https://index.biohackrxiv.org//2025/10/21/4f763.html
BioHackrXiv Preprints
on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers
Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks.
⁂
More from
BioHackrXiv