Author

G. A. Dolby

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Organism:mouse· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. Morales· 2 shared A. R. Biddy· 1 shared A. Vannan· 1 shared B. J. Pinto· 1 shared B. M. McCoy· 1 shared D. Collins· 1 shared D. F. DeNardo· 1 shared D. G. Moore· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

M. Morales

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Incomplete dosage balance and dosage compensation in the ZZ/ZW Gila monster (Heloderma suspectum) revealed by de novo genome assembly

T. H. Webster, A. Vannan, B. J. Pinto, G. Denbrock, M. Morales, G. A. Dolby, I. T. Fiddes, D. F. DeNardo, M. A. Wilson

The paper reports the de novo genome assembly of the Gila monster and identifies Z-chromosome scaffolds, revealing incomplete dosage compensation and sex-specific expression patterns in ZZ/ZW sex determination.

bioRxiv · Apr 26, 2023 · PreprintEvolutionary Biology

Social determinants of health and disease in companion dogs: A cohort study from the Dog Aging Project

B. M. McCoy, L. Brassington, K. Jin, G. A. Dolby, S. Shrager, D. Collins, M. Dunbar, Dog Aging Project Consortium, N. Snyder-Mackler

This study examines how social environmental factors affect dog health across their lifespan using data from the Dog Aging Project.

bioRxiv · Apr 8, 2022Evolutionary Biology

The information signature of diverging lineages

D. G. Moore, M. Morales, A. R. Biddy, S. I. Walker, G. A. Dolby

The paper uses information theory to analyze genetic divergence across species and shows how information signatures from genetic metrics can detect lineage divergence with or without gene flow.

bioRxiv · Aug 30, 2021 · PreprintEvolutionary Biology