Biomedical systems biology workflow orchestration and execution with PoSyMed

Fuente: arXiv
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Hauptverfasser: Süwer, Simon, Chervontseva, Zoe, Bagemihl, Kester, Baumbach, Jan, Tsoy, Olga, Maier, Andreas
Format: Preprint
Veröffentlicht: 2026
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author Süwer, Simon
Chervontseva, Zoe
Bagemihl, Kester
Baumbach, Jan
Tsoy, Olga
Maier, Andreas
author_facet Süwer, Simon
Chervontseva, Zoe
Bagemihl, Kester
Baumbach, Jan
Tsoy, Olga
Maier, Andreas
contents The rapid growth of scientific software has created practical barriers for bioinformatics research. Although powerful statistical, artificial intelligence (AI)-based methods are now widely available, their effective use is often hindered by fragmented distribution, inconsistent documentation, complex dependencies, and difficult-to-reproduce execution environments. As a result, reusing published tools and workflow adaptation to own date remains technically demanding and time-intensive, even for experienced users. Here, we present PoSyMed, an open and modular platform for the controlled integration, composition, and execution of bioinformatics tools and workflows. PoSyMed combines a backend-centered platform architecture with formal tool descriptions, controlled container-based build and execution processes, persistent workflow state, and a dialogue-based user interface. Large language models (LLM) are integrated not as autonomous decision-makers, but as human-computer interface with bounded semantic assistants that help identify tools, propose workflow steps, and support parameterization within a typed, validated, and human-supervised execution environment. PoSyMed is designed to improve reproducibility, traceability, and transparency in practical biomedical analysis within one platform. We describe the system architecture and evaluate its behavior across representative biological software scenarios with respect to workflow support, interaction design, and platform extensibility. PoSyMed is publicly available at https://apps.cosy.bio/posymed.
format Preprint
id arxiv_https___arxiv_org_abs_2604_20906
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Biomedical systems biology workflow orchestration and execution with PoSyMed
Süwer, Simon
Chervontseva, Zoe
Bagemihl, Kester
Baumbach, Jan
Tsoy, Olga
Maier, Andreas
Software Engineering
Artificial Intelligence
C3
I.2.5; I.2.6; I.2.7; H.2.8; H.3.3; J.3; J.2
The rapid growth of scientific software has created practical barriers for bioinformatics research. Although powerful statistical, artificial intelligence (AI)-based methods are now widely available, their effective use is often hindered by fragmented distribution, inconsistent documentation, complex dependencies, and difficult-to-reproduce execution environments. As a result, reusing published tools and workflow adaptation to own date remains technically demanding and time-intensive, even for experienced users. Here, we present PoSyMed, an open and modular platform for the controlled integration, composition, and execution of bioinformatics tools and workflows. PoSyMed combines a backend-centered platform architecture with formal tool descriptions, controlled container-based build and execution processes, persistent workflow state, and a dialogue-based user interface. Large language models (LLM) are integrated not as autonomous decision-makers, but as human-computer interface with bounded semantic assistants that help identify tools, propose workflow steps, and support parameterization within a typed, validated, and human-supervised execution environment. PoSyMed is designed to improve reproducibility, traceability, and transparency in practical biomedical analysis within one platform. We describe the system architecture and evaluate its behavior across representative biological software scenarios with respect to workflow support, interaction design, and platform extensibility. PoSyMed is publicly available at https://apps.cosy.bio/posymed.
title Biomedical systems biology workflow orchestration and execution with PoSyMed
topic Software Engineering
Artificial Intelligence
C3
I.2.5; I.2.6; I.2.7; H.2.8; H.3.3; J.3; J.2
url https://arxiv.org/abs/2604.20906