A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons between models. Motivated by these potential benefits and guided by consensus across the COmputational Modeling in BIology NEtwork (COMBINE) community, we have developed a specification for encoding annotations in Open Modeling and EXchange (OMEX)-formatted archives. Distributing modeling projects within these archives is a best practice established by COMBINE, and the OMEX metadata specification presented here provides a harmonized, community-driven approach for annotating a variety of standardiz...
Community-developed minimum information checklists are designed to drive the rich and consistent rep...
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scien...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...
A standardized approach to annotating computational biomedical models and their associated files can...
A standardized approach to annotating computational biomedical models and their associated files can...
Background: With the ever increasing use of computational models in the biosciences, the need to sha...
Background: With the ever increasing use of computational models in the biosciences, the need to sha...
Life science researchers use computational models to articulate and test hypotheses about the behavi...
The Center for Extended Data Annotation and Retrieval is studying the creation of comprehensive and ...
For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the sto...
Machine learning (ML) practitioners and organizations are building model repositories of pre-trained...
Abstract Background Detailed Clinical Models (DCMs) have been regarded as the basis for retaining co...
The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and ...
The purpose of this work was to enhance the reuse of computational biology models by identifying and...
A wealth of public data repositories is available to drive genomics and clinical research. However, ...
Community-developed minimum information checklists are designed to drive the rich and consistent rep...
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scien...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...
A standardized approach to annotating computational biomedical models and their associated files can...
A standardized approach to annotating computational biomedical models and their associated files can...
Background: With the ever increasing use of computational models in the biosciences, the need to sha...
Background: With the ever increasing use of computational models in the biosciences, the need to sha...
Life science researchers use computational models to articulate and test hypotheses about the behavi...
The Center for Extended Data Annotation and Retrieval is studying the creation of comprehensive and ...
For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the sto...
Machine learning (ML) practitioners and organizations are building model repositories of pre-trained...
Abstract Background Detailed Clinical Models (DCMs) have been regarded as the basis for retaining co...
The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and ...
The purpose of this work was to enhance the reuse of computational biology models by identifying and...
A wealth of public data repositories is available to drive genomics and clinical research. However, ...
Community-developed minimum information checklists are designed to drive the rich and consistent rep...
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scien...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...