Reconstruction and Computational Modelling for Inherited Metabolic Diseases
Accelerating the diagnosis and personalising the management
of inherited metabolic diseases.
Key features of Recon4IMD
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Overall objectives: Accelerate diagnosis and personalise management of inherited metabolic diseases.
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Primary output: Clinically validated decision support tools enabling accelerated diagnosis and personalised management of inherited metabolic diseases, based on genomic, proteomic, and metabolomic data-driven computational models.
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Sustainability: Development of academic technology to meet medical regulatory standards and a roadmap for exploitation within a European foundation to aid personalised diagnosis and management of inherited metabolic diseases.
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Implemented by: A group of world-class scientists and clinicians from a diversity of disciplines who have collaborated multiple times and have a track record of leading key national and EU-funded initiatives to deliver high-impact results.
Latest Publications
Software Quality Indicators: extraction, categorisation and recommendations from canonical sources
Research software plays a central role in modern science, and its quality is increasinglyrecognized as essential for reproducibility, sustainability, and trust. Numerous initiatives haveproposed indicators to guide quality assessment, yet these indicators are dispersed acrossdomains and vary in scope, terminology, and practical use. This work presents a curatedcatalogue of software quality indicators tailored to the needs of research software.
