est-sfs
est-sfs ( Keightley and Jackson, 2018) is a stand-alone implementation of a method to infer the unfolded site frequency spectrum (the uSFS) and ancestral state probabilities by maximum likelihood (ML).
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
osx-64/est-sfs-2.04-hebf95cb_1.tar.bz2 | conda | 2.04 | osx-64 | main | Dec 12, 2024, 08:22 AM | 28.42 KB | 379 | |
linux-64/est-sfs-2.04-h985cbd6_1.tar.bz2 | conda | 2.04 | linux-64 | main | Dec 11, 2024, 06:28 PM | 26.87 KB | 173 | |
osx-64/est-sfs-2.04-hb55bcad_0.tar.bz2 | conda | 2.04 | osx-64 | main | Jul 16, 2023, 07:00 AM | 27.65 KB | 1.1K | |
linux-64/est-sfs-2.04-h245ed52_0.tar.bz2 | conda | 2.04 | linux-64 | main | Jul 16, 2023, 06:57 AM | 26.72 KB | 211 |