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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Ancestral Inference from Samples of DNA Sequences with Recombination

GRIFFITHS, R.C., MARJORAM, P.·1996·Journal of Computational Biology

Abstract

The sampling distribution of a collection of DNA sequences is studied under a model where recombination can occur in the ancestry of the sequences. The infinitely-many-sites model of mutation is assumed where there may only be one mutation at a given site. Ancestral inference procedures are discussed for: estimating recombination and mutation rates; estimating the times to the most recent common ancestors along the sequences; estimating ages of mutations; and estimating the number of recombination events in the ancestry of the sample. Inferences are made conditional on the configuration of the pattern of mutations at sites in observed sample sequences. A computational algorithm based on a Markov chain simulation is developed, implemented, and illustrated with examples for these inference procedures. This algorithm is very computationally intensive.

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Metadata

Authors
GRIFFITHS, R. C., & MARJORAM, P.
Venue
Journal of Computational Biology
Published
1996-01
Volume
3
Issue
4
Pages
479-502
ISSN
  • 1066-5277 (ISSN-L)
  • 1557-8666
OpenAlex
W1979900996
Cited by
403
References
19
FWCI
2.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ancestral Inference from Samples of DNA Sequences with Recombination. https://app.cochat.ai/papers/10.1089/cmb.1996.3.479
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GRIFFITHS, R. C., & MARJORAM, P. (1996). Ancestral Inference from Samples of DNA Sequences with Recombination. Journal of Computational Biology. https://doi.org/10.1089/cmb.1996.3.479

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