Evidence map›Paper›PMID 16793403›Full record

ArticleMethods in enzymology2006

Methods for determining spontaneous mutation rates.

Patricia L Foster

Abstract read
In one paragraph

Article in Methods in enzymology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

185 citing papers in PubMed.

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  11. Hypermutability ofEmerging microbes & infections · 2025
    Article
  12. Review
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125 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Patricia L FosterDepartment of Biology, Indiana University, Bloomington, Indiana, USA.

Funding

Regulation of an Error-Prone PolymeraseR01GM065175 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI FOSTER, PATRICIA LORRAINE · 2002 to 2011
$2.0M
NIGMS NIH HHS GM065175NIGMS NIH HHS R01 GM065175
6 · The paper itself

Abstract

Spontaneous mutations arise as a result of cellular processes that act upon or damage DNA. Accurate determination of spontaneous mutation rates can contribute to our understanding of these processes and the enzymatic pathways that deal with them. The methods that are used to calculate mutation rates are based on the model for the expansion of mutant clones originally described by Luria and Delbrück (1943) and extended by Lea and Coulson (1949). The accurate determination of mutation rates depends on understanding the strengths and limitations of these methods and how to optimize a fluctuation assay for a given method. This chapter describes the proper design of a fluctuation assay, several of the methods used to calculate mutation rates, and ways to evaluate the results statistically.

Indexed as

MutationModels, Genetic

Identifiers

PMID16793403
PMCPMC2041832

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.