The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Advances and limits of using population genetics to understand local adaptation
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Cites
Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425
Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906
Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611
Fumagalli, M., Sironi, M., Pozzoli, U., Ferrer-Admettla, A., Pattini, L., & Nielsen, R. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002355 · Cited by 600
Bigham, A., Bauchet, M., Pinto, D., Mao, X., Akey, J. M., Mei, R., Scherer, S. W., Julian, C. G., Wilson, M. J., López Herráez, D., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001116 · Cited by 597
A population genetic signal of polygenic adaptation
Berg, J. J., & Coop, G. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004412 · Cited by 487
Nielsen, R., Korneliussen, T., Albrechtsen, A., Li, Y., & Wang, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037558 · Cited by 424
Rabbit genome analysis reveals a polygenic basis for phenotypic change during domestication
Carneiro, M., Rubin, C.-J., Di Palma, F., Albert, F. W., Alföldi, J., Barrio, A. M., Pielberg, G., Rafati, N., Sayyab, S., Turner-Maier, J., et al. (2014) · Science · doi:10.1126/science.1253714 · Cited by 404
Pavlidis, P., Jensen, J. D., Stephan, W., & Stamatakis, A. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss136 · Cited by 221
Characterizing bias in population genetic inferences from low-coverage sequencing data
Han, E., Sinsheimer, J. S., & Novembre, J. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/mst229 · Cited by 94
Cited by
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
Hoban, S., Kelley, J. L., Lotterhos, K. E., Antolin, M. F., Bradburd, G., Lowry, D. B., Poss, M. L., Reed, L. K., Storfer, A., & Whitlock, M. C. (2016) · The American Naturalist · doi:10.1086/688018 · Cited by 876
“In the near future, the use of multiple reference genomes and de novo assemblies from long reads ( 1 1 kb) will allow for detection of a more complete complement of structural variants (Tif fi n and Ross-Ibarra 2014; VanBuren et al. 2015).”
InfluentialLotterhos, K. E., & Whitlock, M. C. (2015) · Molecular Ecology · doi:10.1111/mec.13100 · Cited by 566
A beginner's guide to low‐coverage whole genome sequencing for population genomics
Lou, R. N., Jacobs, A., Wilder, A. P., & Therkildsen, N. O. (2021) · Molecular Ecology · doi:10.1111/mec.16077 · Cited by 334
Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes
Forester, B. R., Jones, M. R., Joost, S., Landguth, E. L., & Lasky, J. R. (2016) · Molecular Ecology · doi:10.1111/mec.13476 · Cited by 258
Highly replicated evolution of parapatric ecotypes
James, M. E., Arenas-Castro, H., Groh, J. S., Allen, S. L., Engelstädter, J., & Ortiz-Barrientos, D. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab207 · Cited by 30
Metadata
- Authors
- Tiffin, P., & Ross-Ibarra, J.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 29
- Issue
- 12
- Pages
- 673-680
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2016720883
- Cited by
- 335
- References
- 10
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tiffin, P., & Ross-Ibarra, J. (2014). Advances and limits of using population genetics to understand local adaptation. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2014.10.004
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.