AI RESEARCH
Biomedical systems biology workflow orchestration and execution with PoSyMed
arXiv CS.AI
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ArXi:2604.20906v1 Announce Type: cross 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.