Linked Life Data

14769952

Source:http://linkedlifedata.com/resource/pubmed/id/14769952

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-2-10
pubmed:abstractText
The study of recombination in Saccharomyces cerevisiae benefits from the availability of assay systems that select for recombinants, allowing the study of spontaneous events that represent natural assaults on the genome. However, the rarity of such spontaneous recombination requires selection of events that occur over many generations in a cell culture, and the number of recombinants increases exponentially following a recombination event. To avoid inflation of the average number of recombinants by jackpots arising from an event early in a culture, the distribution of the number of recombinants in independent cultures (fluctuation analysis) must be used to estimate the mean number of recombination events. Here we describe two statistical analyses (method of the median and the method of p0) to estimate the true mean of the number of events to be used to calculate the recombination rate. The use of confidence intervals to depict the error in such experiments is also discussed. The application of these methods is illustrated using the intron-based inverted repeat recombination reporter system developed in our lab to study the regulation of homeologous recombination.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1064-3745
pubmed:author
pubmed:issnType
Print
pubmed:volume
262
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3-12
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Determination of mitotic recombination rates by fluctuation analysis in Saccharomyces cerevisiae.
pubmed:affiliation
Department of Biology, Emory University, Atlanta, GA, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.