An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1093/molbev/msaa259

https://doi.org/10.1093/molbev/msaa259

Discovery of Ongoing Selective Sweeps within<i>Anopheles</i>Mosquito Populations Using Deep Learning

Cited by: 22
Author(s): Alexander T. Xue, Daniel R. Schrider, Andrew D. Kern, Alessandra della Torre, Andrew D. Kern, Beniamino Caputo, Bilali Kabula, Bradley J. White, Charles Godfray, Constant Edi, Craig S. Wilding, Dan Neafsey, Daniel R. Schrider, David J. Conway, David Weetman, Diégo Ayala, Dominic Kwiatkowski, Igor V. Sharakhov, Janet Midega, Jianchu Xu, João Pinto, John Essandoh, Johnson Matowo, Ken Vernick, Luc Djogbénou, Mamadou B. Coulibaly, Mara Lawniczak, Martin Donnelly, Matthew W. Hahn, Michaël C. Fontaine, Michelle M. Riehle, Nora J. Besansky, Omar E. Cornejo, Robert S. McCann, Sam O’Loughlin, Vincent Robert, Alexander T. Xue, Alistair Miles, Chris S. Clarkson, C. J. Battey, Cody Champion, Frédéric Labbé, Giordano Bottà, Jeffrey R. Adrion, Joel T. Nelson, Nick Harding, Thomas J. Wang, Scott T. Small, Seth Redmond, Tiago Antão
Published: almost 5 years ago

Software Mentions 4

pypi: GNS
Geometric nested sampling algorithm, as described in https://arxiv.org/abs/1905.09110.
Papers that mentioned: 9
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: scikit-allel
A Python package for exploring and analysing genetic variation data.
Papers that mentioned: 23
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)