Data · dataset · 2017
Data of "An accurate database of the fixation probabilities for all undirected graphs of order 10 or less"
Listed in Teesside University Research Data Repository
The fixation probability is a fundamental concept in evolutionary dynamics, representing the probability that a gene spreads over a whole population.
Description
An interesting model to study both neutral drift and natural selection on homogeneous population was introduced by Moran in the '50, and later generalized to non uniform populations by Lieberman et al in 2005. Here we present an accurate database of the fixation probabilities for all undirected graphs with 10 or less vertices.
Moreover, the database has been enriched with some graph invariants which have been related to the fixation probability. The fixation probabilities are computed with extreme accuracy with a relative error similar to the machine error. Using python and the h5py package it can be easily explored.
Read the rest (1 more)
The following lines describes how to read this data and plot a simple scatter of the probability of fixation at r=2 vs biconnectivity: import h5py as h5 import matplotlib.pyplot as plt infile = h5.File('fp_le10.hdf5', 'r') data = infile['FP'][:] infile.close() plt.plot( data['FP_2.0'], data['is_biconnected'], 'o' ) plt.show()
Links
Where it is published
- DOI doi.org/10.17632/587bnf6mt3.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/587bnf6mt3.2 | 6 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |