Datamonkey 2.0: a modern web application for characterizing selective and other evolutionary processes.

By Scott Weaver, Stephen D. Shank, Stephanie J. Spielman, Michael Li, Spencer V. Muse, Sergei L. Kosakovsky Pond. Molecular biology and evolution, 2018

866 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/906aff5969ad3dd58c1bf23109f8a38056de5b76

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Sergei L. Kosakovsky Pond
2. Simon D. W. Frost
3. Ben Murrell
4. Art F. Y. Poon
5. Scott Weaver
6. Anton Nekrutenko
7. Jesse D. Bloom
8. B. Thyagarajan

In Molecular Biology

1. Sergei L. Kosakovsky Pond
2. Simon D. W. Frost
3. Art F. Y. Poon
4. Ben Murrell
5. Scott Weaver
6. Stephen D. Shank
7. Stephanie J. Spielman
8. Spencer V. Muse

Citations in the corpus

• Evidence for adaptive evolution in the receptor-binding domain of seasonal coronaviruses OC43 and 229e (2020, neutral): “This approach, called mixed effects model of evolution (MEME), is maximum-likelihood method that gives a single dN/dS value for each gene ( Murrell et al., 2012 ; Weaver et al., 2018 ).”
• HyPhy 2.5 - a customizable platform for evolutionary hypothesis testing using phylogenies. (2019, methodology): “For permissions, please e-mail: journals.permissions@oup.com a public instance of the HyPhy-powered web-application, implementing the most popular analyses, is available at www.datamonkey.org ( Weaver et al. 2018).”