A Fourfold Pathogen Reference Ontology Suite
December 31, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Shane Babcock, Carter Benson, Giacomo De Colle, Sydney Cohen, Alexander D. Diehl, Ram A. N. R. Challa, Ray Mavrovich, Joshua Billig, Anthony Huffman, Yongqun He, John Beverley
arXiv ID
2501.01454
Category
q-bio.OT
Cross-listed
cs.AI,
cs.LO
Citations
0
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease Ontology (IDO) and its extensions, such as the Coronavirus Infectious Disease Ontology (CIDO), are essential for organizing and disseminating information related to infectious diseases. The COVID-19 pandemic highlighted the need for updating IDO and its virus-specific extensions. There is an additional need to update IDO extensions specific to bacteria, fungus, and parasite infectious diseases. We adopt the "hub and spoke" methodology to generate pathogen-specific extensions of IDO: Virus Infectious Disease Ontology (VIDO), Bacteria Infectious Disease Ontology (BIDO), Mycosis Infectious Disease Ontology (MIDO), and Parasite Infectious Disease Ontology (PIDO). The creation of pathogen-specific reference ontologies advances modularization and reusability of infectious disease data within the IDO ecosystem. Future work will focus on further refining these ontologies, creating new extensions, and developing application ontologies based on them, in line with ongoing efforts to standardize biological and biomedical terminologies for improved data sharing and analysis.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β q-bio.OT
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
A Probabilistic Framework for Quantifying Biological Complexity
R.I.P.
π»
Ghosted
An Introduction to Programming for Bioscientists: A Python-based Primer
R.I.P.
π»
Ghosted
Ultrametrics in the genetic code and the genome
R.I.P.
π»
Ghosted
Nutritionally recommended food for semi- to strict vegetarian diets based on large-scale nutrient composition data
R.I.P.
π»
Ghosted
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted