Travis J Struck
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Explore the profile of Travis J Struck including associated specialties, affiliations and a list of published articles.
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10
Citations
176
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Recent Articles
1.
Tran L, Sun C, Struck T, Sajan M, Gutenkunst R
Mol Biol Evol
. 2024 Apr;
41(5).
PMID: 38636507
Inferring past demographic history of natural populations from genomic data is of central concern in many studies across research fields. Previously, our group had developed dadi, a widely used demographic...
2.
Tran L, Sun C, Struck T, Sajan M, Gutenkunst R
bioRxiv
. 2024 Feb;
PMID: 38405827
Inferring past demographic history of natural populations from genomic data is of central concern in many studies across research fields. Previously, our group had developed dadi, a widely used demographic...
3.
dadi-cli: Automated and distributed population genetic model inference from allele frequency spectra
Huang X, Struck T, Davey S, Gutenkunst R
bioRxiv
. 2023 Jul;
PMID: 37398279
Summary: dadi is a popular software package for inferring models of demographic history and natural selection from population genomic data. But using dadi requires Python scripting and manual parallelization of...
4.
Gower G, Ragsdale A, Bisschop G, Gutenkunst R, Hartfield M, Noskova E, et al.
Genetics
. 2022 Sep;
222(3).
PMID: 36173327
Understanding the demographic history of populations is a key goal in population genetics, and with improving methods and data, ever more complex models are being proposed and tested. Demographic models...
5.
Marchi N, Winkelbach L, Schulz I, Brami M, Hofmanova Z, Blocher J, et al.
Cell
. 2022 May;
185(11):1842-1859.e18.
PMID: 35561686
The precise genetic origins of the first Neolithic farming populations in Europe and Southwest Asia, as well as the processes and the timing of their differentiation, remain largely unknown. Demogenomic...
6.
Huang X, Lyn Fortier A, Coffman A, Struck T, Irby M, James J, et al.
Mol Biol Evol
. 2021 May;
38(10):4588-4602.
PMID: 34043790
The effect of a mutation on fitness may differ between populations depending on environmental and genetic context, but little is known about the factors that underlie such differences. To quantify...
7.
Adrion J, Cole C, Dukler N, Galloway J, Gladstein A, Gower G, et al.
Elife
. 2020 Jun;
9.
PMID: 32573438
The explosion in population genomic data demands ever more complex modes of analysis, and increasingly, these analyses depend on sophisticated simulations. Recent advances in population genetic simulation have made it...
8.
Struck T, Mannakee B, Gutenkunst R
Hum Genomics
. 2018 Aug;
12(1):38.
PMID: 30103832
The past decade has seen major investment in genome-wide association studies (GWAS). Among the many goals of GWAS, a major one is to identify and motivate research on novel genes...
9.
Ragsdale A, Coffman A, Hsieh P, Struck T, Gutenkunst R
Genetics
. 2016 Apr;
203(1):513-23.
PMID: 27029732
The distribution of mutational effects on fitness is central to evolutionary genetics. Typical univariate distributions, however, cannot model the effects of multiple mutations at the same site, so we introduce...
10.
Pandya S, Struck T, Mannakee B, Paniscus M, Gutenkunst R
Mol Biol Evol
. 2014 Oct;
32(1):144-52.
PMID: 25312910
Protein tyrosine phosphorylation is a key regulatory modification in metazoans, and the corresponding kinase enzymes have diversified dramatically. This diversification is correlated with a genome-wide reduction in protein tyrosine content,...