Sean Hoban
Sean Hoban
The Morton Arboretum
Verified email at alumni.nd.edu - Homepage
TitleCited byYear
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
S Hoban, JL Kelley, KE Lotterhos, MF Antolin, G Bradburd, DB Lowry, ...
The American Naturalist 188 (4), 379-397, 2016
2792016
Computer simulations: tools for population and evolutionary genetics
S Hoban, G Bertorelle, OE Gaggiotti
Nature Reviews Genetics 13 (2), 110, 2012
2192012
Breaking RAD: An evaluation of the utility of restriction site‐associated DNA sequencing for genome scans of adaptation
DB Lowry, S Hoban, JL Kelley, KE Lotterhos, LK Reed, MF Antolin, ...
Molecular ecology resources 17 (2), 142-152, 2017
1512017
Range‐wide distribution of genetic diversity in the North American tree Juglans cinerea: a product of range shifts, not ecological marginality or recent populationá…
SM Hoban, DS Borkowski, SL Brosi, TIMS McCLEARY, LM Thompson, ...
Molecular Ecology 19 (22), 4876-4891, 2010
742010
Comparative evaluation of potential indicators and temporal sampling protocols for monitoring genetic erosion
S Hoban, JA Arntzen, MW Bruford, JA Godoy, AR Hoelzel, G Segelbacher, ...
Evolutionary Applications, 2014
682014
Bringing genetic diversity to the forefront of conservation policy and management
SM Hoban, HC Hauffe, S PÚrez-Espona, JW Arntzen, G Bertorelle, J Bryja, ...
Conservation Genetics Resources 5 (2), 593-598, 2013
682013
Optimal sampling of seeds from plant populations for ex-situ conservation of genetic biodiversity, considering realistic population structure
S Hoban, S Schlarbaum
Biological Conservation 177, 90-99, 2014
602014
Geographically extensive hybridization between the forest trees American butternut and Japanese walnut
SM Hoban, TS McCleary, SE Schlarbaum, J Romero-Severson
Biology Letters 5 (3), 324-327, 2009
592009
An overview of the utility of population simulation software in molecular ecology
S Hoban
Molecular ecology 23 (10), 2383-2401, 2014
552014
The number of markers and samples needed for detecting bottlenecks under realistic scenarios, with and without recovery: a simulation‐based study
SM Hoban, OE Gaggiotti, G Bertorelle
Molecular ecology 22 (13), 3444-3450, 2013
492013
Sample Planning Optimization Tool for conservation and population Genetics (SPOTG): a software for choosing the appropriate number of markers and samples
S Hoban, O Gaggiotti, G Bertorelle
Methods in Ecology and Evolution 4 (3), 299-303, 2013
492013
Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation
SP Flanagan, BR Forester, EK Latch, SN Aitken, S Hoban
Evolutionary Applications 11 (7), 1035-1052, 2018
352018
Human‐impacted landscapes facilitate hybridization between a native and an introduced tree
SM Hoban, TS McCleary, SE Schlarbaum, SL Anagnostakis, ...
Evolutionary Applications, 2012
332012
Ex situ seed collections will benefit from considering spatial sampling design and species’ reproductive biology
S Hoban, A Strand
Biological Conservation 187, 182-191, 2015
322015
Thirteen nuclear microsatellite loci for butternut (Juglans cinerea L.)
S Hoban, R Anderson, T Mccleary, S Schlarbaum, ...
Molecular Ecology Resources 8 (3), 643-646, 2008
322008
Responsible RAD: Striving for best practices in population genomic studies of adaptation
DB Lowry, S Hoban, JL Kelley, KE Lotterhos, LK Reed, MF Antolin, ...
Molecular ecology resources 17 (3), 366-369, 2017
252017
Using ABC and microsatellite data to detect multiple introductions of invasive species from a single source
A Benazzo, S Ghirotto, ST Vilaša, S Hoban
Heredity 115 (3), 262, 2015
242015
Differentiation measures for conservation genetics
L Jost, F Archer, S Flanagan, O Gaggiotti, S Hoban, E Latch
Evolutionary applications 11 (7), 1139-1148, 2018
232018
Evidence for past and present hybridization in three A ntarctic icefish species provides new perspectives on an evolutionary radiation
IAM Marino, A Benazzo, C Agostini, M Mezzavilla, SM Hoban, ...
Molecular ecology 22 (20), 5148-5161, 2013
212013
High variance in reproductive success generates a false signature of a genetic bottleneck in populations of constant size: a simulation study
SM Hoban, M Mezzavilla, OE Gaggiotti, A Benazzo, C Van Oosterhout, ...
BMC bioinformatics 14 (1), 309, 2013
202013
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