CAFE: a computational tool for the study of gene family evolution
Clicks: 2
ID: 291859
2006
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #757 of 835 articles by views in BMC Bioinformatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 835 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Summary: We present CAFE (Computational Analysis of gene Family Evolution), a tool for the statistical analysis of the evolution of the size of gene families. It uses a stochastic birth and death process to model the evolution of gene family sizes over a phylogeny. For a specified phylogenetic tree, and given the gene family sizes in the extant species, CAFE can estimate the global birth and death rate of gene families, infer the most likely gene family size at all internal nodes, identify gene families that have accelerated rates of gain and loss (quantified by a p-value) and identify which branches cause the p-value to be small for significant families. Availability: Software is available from Contact: mwh@indiana.edu
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (120 words).
Try re-searching for a better abstract.
| Reference Key |
openalex_W2122821321
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn |
| Journal | BMC Bioinformatics |
| Year | 2006 |
| DOI |
10.1093/bioinformatics/btl097
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.