activity
20142026
most citedA Simple Standard for Sharing Ontological Mappings (SSSOM)

94 citations · 177 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol

Peter W. Rose, Benjamin M. Good, Amanda M. Saravia-Butler +7

MCP Server Proto-OKN (mcp-proto-okn) is a Python-based Model Context Protocol server that enables AI assistants to discover, inspect, query and integrate scientific knowledge graph…

cs.AI2026

Frontier LLM-based agents can overcome the ontology curation bottleneck for natural phenotypes

James P. Balhoff, Hilmar Lapp

Linking free-text phenotype descriptions to ontology terms, typically referred to as phenotype annotation, is essential for the cross-study integration of comparative morphological…

q-bio.OT2025★ 1 cited

The Cell Ontology in the age of single-cell omics

Shawn Zheng Kai Tan, Aleix Puig-Barbe, Damien Goutte-Gattat +32

Single-cell omics technologies have transformed our understanding of cellular diversity by enabling high-resolution profiling of individual cells. However, the unprecedented scale…

cs.CV2025

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning

Jianyang Gu, Samuel Stevens, Elizabeth G Campolongo +13

Foundation models trained at scale exhibit remarkable emergent behaviors, learning new capabilities beyond their initial training objectives. We find such emergent behaviors in bio…

cs.CV2024★ 2 cited

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images

M. Maruf, Arka Daw, Kazi Sajeed Mehrab +19

Images are increasingly becoming the currency for documenting biodiversity on the planet, providing novel opportunities for accelerating scientific discoveries in the field of orga…

q-bio.PE2024

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf +12

A central problem in biology is to understand how organisms evolve and adapt to their environment by acquiring variations in the observable characteristics or traits of species acr…

cs.LG2023★ 1 cited

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks

Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran +15

Discovering evolutionary traits that are heritable across species on the tree of life (also referred to as a phylogenetic tree) is of great interest to biologists to understand how…

q-bio.QM2023

KG-Hub -- Building and Exchanging Biological Knowledge Graphs

J Harry Caufield, Tim Putman, Kevin Schaper +23

Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing,…

cs.DB2022★ 72 cited

Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies

Nicolas Matentzoglu, Damien Goutte-Gattat, Shawn Zheng Kai Tan +24

Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking, and dep…

cs.DB2021★ 94 cited

A Simple Standard for Sharing Ontological Mappings (SSSOM)

Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello +41

Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representatio…

cs.AI2014★ 7 cited

Presence-absence reasoning for evolutionary phenotypes

James P. Balhoff, T. Alexander Dececchi, Paula M. Mabee +1

Nearly invariably, phenotypes are reported in the scientific literature in meticulous detail, utilizing the full expressivity of natural language. Often it is particularly these de…