output
20052025
most citedAssemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

742 citations

Showing q-bio.QMShow all

13 papers · 1 filter

q-bio.QM2025

SBMLtoOdin and Menelmacar: Interactive visualisation of systems biology models for expert and non-expert audiences

Leonie J. Lorenz, Antoine Andréoletti, Tung V. N. Nguyen +4

Motivation: Computational models in biology can increase our understanding of biological systems, be used to answer research questions, and make predictions. Accessibility and reus…

q-bio.QM2022★ 1 cited

Creation and unification of development and life stage ontologies for animals

Anne Niknejad, Christopher J. Mungall, David Osumi-Sutherland +2

With the new era of genomics, an increasing number of animal species are amenable to large-scale data generation. This had led to the emergence of new multi-species ontologies to a…

q-bio.QM2019★ 26 cited

Concepts and Applications of Conformal Prediction in Computational Drug Discovery

Isidro Cortés-Ciriano, Andreas Bender

Estimating the reliability of individual predictions is key to increase the adoption of computational models and artificial intelligence in preclinical drug discovery, as well as t…

q-bio.QM2018★ 4 cited

TreeGrafter: phylogenetic tree-based annotation of proteins with Gene Ontology terms and other annotations

Haiming Tang, Robert D Finn, Paul D Thomas

Summary: TreeGrafter is a new software tool for annotating protein sequences using annotated phylogenetic trees. Cur-rently, the tool provides annotations to Gene Ontology terms, a…

q-bio.QM2018★ 116 cited

Public archives for biological image data

Jan Ellenberg, Jason R Swedlow, Mary Barlow +4

Public data archives are the backbone of modern biological and biomedical research. While archives for biological molecules and structures are well-established, resources for imagi…

q-bio.QM2016★ 457 cited

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…