← back to search

Travis J. Struck

University of Arizona · US
🔎 Find collaborators in Genetics →
Search 5.9M scientists by topic, h-index, country & funding — free.
Area of research
Genetics
Research interest
Research focused on Python (programming language) and Population, with related work in Genetics, Data science, Optimal distinctiveness theory. Notable publications include 'A community-maintained standard library of population genetic models', 'The genomic origins of the world’s first farmers', and 'Demes: a standard format for demographic models'.
h-index
citations
458
works
4
NIH funding
primary concept
email

Recent publications

The genomic origins of the world’s first farmers
Cell 2022cited by 114position: middledoi
Demes: a standard format for demographic models
Genetics 2022cited by 50position: middledoi
Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations
Molecular Biology and Evolution 2021cited by 45position: middledoi
A community-maintained standard library of population genetic models
eLife 2020cited by 249position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Aaron P. Ragsdale · University of Wisconsin–Madison2 papers (2021–2022)Ryan N. Gutenkunst · University of Arizona2 papers (2021–2022)Xin Huang · University of Vienna1 papers (2021–2021)Matthew Hartfield · University of Edinburgh1 papers (2022–2022)Jerome Kelleher · University of Edinburgh1 papers (2022–2022)Jennifer James · University of Arizona1 papers (2021–2021) · 1 papers (2021–2021) · 1 papers (2021–2021)Graham Gower · University of Copenhagen1 papers (2022–2022)Stephan Schiffels · Max Planck Institute for Evolutionary Anthropology1 papers (2022–2022)Gertjan Bisschop · University of Edinburgh1 papers (2022–2022)Alec J. Coffman · University of Arizona1 papers (2021–2021)Megan N. Irby · University of Arizona1 papers (2021–2021) · 1 papers (2022–2022)Ekaterina Noskova · University of Fribourg1 papers (2022–2022)
Looking for a research collaborator?
Search millions of scientists by field, institution, impact, and funding status — see their work, find their email, and reach out directly.
Find collaborators in Genetics →