1989
DOI: 10.1093/oxfordjournals.molbev.a040567
|View full text |Cite
|
Sign up to set email alerts
|

Statistical tests for detecting gene conversion.

Abstract: Statistical tests for detecting gene conversion are described for a sample of homologous DNA sequences. The tests are based on imbalances in the distribution of segments on which some pair of sequences agrees. The methods automatically control for variable mutation rates along the genome and do not depend on a priori choices of potentially monophyletic subsets of the sample. The tests show strong evidence for multiple intragenic conversion events at two loci in Escherichia coli. The gnd locus in E. coli shows … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
252
0

Year Published

1993
1993
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 444 publications
(254 citation statements)
references
References 12 publications
2
252
0
Order By: Relevance
“…Using the ORF-centered 4 Kb-long gene pieces (tentatively including 5′-promoter and 3′-untranslated contexts) extracted from the NCBI genome database (http://www.ncbi.nlm.nih.gov/genome/), we analyzed gene conversion among porcine type I IFN sequences. Gene conversion was analyzed with GENECONV software using the default setting to compute both the Sim P-value (estimated based on permutation) and the Bonferroni-corrected (BC) KA (BLAST-like) P-value [25]. Table 2 lists pairs of porcine type I IFN gene sequences that had one or both P-values less than 0.05, thus indicating significant potential for gene conversion within the comparative gene domains, including tentative regulatory sequences at 5′- and 3′-termini as well as the coding ORFs.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Using the ORF-centered 4 Kb-long gene pieces (tentatively including 5′-promoter and 3′-untranslated contexts) extracted from the NCBI genome database (http://www.ncbi.nlm.nih.gov/genome/), we analyzed gene conversion among porcine type I IFN sequences. Gene conversion was analyzed with GENECONV software using the default setting to compute both the Sim P-value (estimated based on permutation) and the Bonferroni-corrected (BC) KA (BLAST-like) P-value [25]. Table 2 lists pairs of porcine type I IFN gene sequences that had one or both P-values less than 0.05, thus indicating significant potential for gene conversion within the comparative gene domains, including tentative regulatory sequences at 5′- and 3′-termini as well as the coding ORFs.…”
Section: Resultsmentioning
confidence: 99%
“…Gene conversion was analyzed with GENECONV [25] the default setting. Both the Sim P-value based on permutation and Bonferroni-corrected (BC) KA (BLAST-like) P-values were used to estimate gene conversion among compared homologues.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…grimshawi were obtained from their unpublished, publicly available genomes (http://rana.lbl.gov/drosophila/). GENECONV was used to test for gene conversion between paralogs, using the method of Sawyer [61]. Phylogenetic reconstruction of multigene families was implemented in Mr. Bayes v3.0b4.…”
Section: Methodsmentioning
confidence: 99%