Anusha Bishop

Anusha Bishop

(she/her/hers)

Publications

  1. Anne E. Chambers*, Anusha P. Bishop*, Ian J. Wang. (2023). Individual-based landscape genomics for conservation: an analysis pipeline. Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13884 *Authors contributed equally
    R package available on GitHub: TheWangLab/algatr

  2. Anusha P. Bishop, Erin P. Westeen, Michael L. Yuan, Merly Escalona, Eric Beraut, Colin Fairbairn, Mohan P. A. Marimuthu, Oanh Nguyen, Noravit Chumchim, Erin Toffelmier, Robert N. Fisher, H. Bradley Shaffer, and Ian J. Wang. (2023). Assembly of the largest squamate reference genome to date: the western fence lizard, Sceloporus occidentalis. Journal of Heredity. https://doi.org/10.1093/jhered/esad037

  3. Maud Quinzin*, Anusha P. Bishop*, Joshua Miller, Nikolaos Poulakakis, Washington Tapia, Francisco Torres-Rojo, Christian Sevilla, Adalgisa Caccone. (2023). Galapagos giant tortoise trafficking case demonstrates the utility and applications of long-term comprehensive genetic monitoring. Animal Conservation. http://doi.org/10.1111/acv.12870
    *Authors contributed equally

  4. Anusha P. Bishop, E. Anne Chambers, Ian J. Wang. (2023). Generating continuous maps of genetic diversity using moving windows. Methods in Ecology and Evolution, 00, 1–7. https://doi.org/10.1111/2041-210X.14090
    R package available on GitHub: AnushaPB/wingen | Blog post: Methods Blog

  5. Drew E. Terasaki Hart, Anusha P. Bishop, Ian J. Wang. (2021). Geonomics: forward-time, spatially explicit, and arbitrarily complex landscape genomic simulations. Molecular Biology and Evolution, 38(10), 4634–4646. https://doi.org/10.1093/molbev/msab175.

  6. Anusha P. Bishop, Giuseppe Amatulli, Chaz Hyseni, Evlyn Pless, Rosemary Bateta, Winnie Okeyo, Paul Mireji, Sylvance Okoth, Imna Malele, Grace Murilla, Serap Aksoy, Adalgisa Caccone, Norah P. Saarman. (2021). A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning. Evolutionary Applications, 14(7), 1762–1777. https://doi.org/10.1111/eva.13237.