Closed singing-scientist closed 2 months ago
Dear @singing-scientist,
Your intuition is correct. In 2024, HyPhy
will use site-to-site synonymous rate variation (SRV) by default. In the tutorial, the default (in fact the only option for 2017) was to have constant synonymous rates. To emulate this behavior one needs to specify
--srv No
, or run hyphy busted -i
(to force all prompts even with default values) for an interactive mode
Try
hyphy busted --alignment ksr2.fna --srv No
...
## Performing the full (dN/dS > 1 allowed) branch-site model fit
* Log(L) = -5319.96, AIC-c = 10708.20 (34 estimated parameters)
* For *test* branches, the following rate distribution for branch-site combinations was inferred
| Selection mode | dN/dS |Proportion, %| Notes |
|-----------------------------------|---------------|-------------|-----------------------------------|
| Negative selection | 0.025 | 99.830 | |
| Negative selection | 0.028 | 0.132 | |
| Diversifying selection | 113.977 | 0.037 | |
### Performing the constrained (dN/dS > 1 not allowed) model fit
* Log(L) = -5326.47, AIC-c = 10719.21 (33 estimated parameters)
* For *test* branches under the null (no dN/dS > 1 model), the following rate distribution for branch-site combinations was inferred
| Selection mode | dN/dS |Proportion, %| Notes |
|-----------------------------------|---------------|-------------|-----------------------------------|
| Negative selection | 0.000 | 94.204 | |
| Negative selection | 0.000 | 2.486 | Collapsed rate class |
| Neutral evolution | 1.000 | 3.310 | |
----
## Branch-site unrestricted statistical test of episodic diversification [BUSTED]
Likelihood ratio test for episodic diversifying positive selection, **p = 0.0007**.
Best, Sergei
Works like a charm! Thanks so much as always your your swift help and explanation, greatly appreciated!
Yours, Chase
Greetings, and thank you so much for the great Spielman et al. 2017 tutorial! As I'm working through using HYPHY 2.5.62(MP) for Darwin on arm64 ARM Neon SIMD zlib (v1.2.12), I get very different results for the first exercise. Specifically, I get the following output for 1 Selection / 5 BUSTED:
I note in particular that the conclusion differs from that reached in the tutorial, i.e. I get p = 0.1564 rather than p = 0.0015. My gut says this is due to recent advances in synonymous rate variation, whose incorporation reveals that the signal of positive selection is not significant. However, it would also be great to have some reassurance that this result is reproducible and not something going wrong with my installation/machine. Would be very grateful for any feedback / verification / understanding!
With gratitude, Chase