Evidence map›Paper›PMID 19042944›Full record

ArticleMolecular biology and evolution2009

Problems and solutions for estimating indel rates and length distributions.

Reed A Cartwright

Abstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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  5. High-resolution mapping reveals the mechanism and contribution of genome insertions and deletions to RNA virus evolution.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  13. PGsim: A Comprehensive and Highly Customizable Personal Genome Simulator.Frontiers in bioengineering and biotechnology · 2020
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  19. The architecture of an empirical genotype-phenotype map.Evolution; international journal of organic evolution · 2018
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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.

Reed A CartwrightDepartment of Genetics, Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA. racartwr@ncsu.edu

Funding

Evolutionary inferences from protein-coding genesR01GM070806 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI STONE, ERIC A, THORNE, JEFFREY L. · 2005 to 2013
$1.7M
NIGMS NIH HHS GM070806NIGMS NIH HHS R01 GM070806
6 · The paper itself

Abstract

Insertions and deletions (indels) are fundamental but understudied components of molecular evolution. Here we present an expectation-maximization algorithm built on a pair hidden Markov model that is able to properly handle indels in neutrally evolving DNA sequences. From a data set of orthologous introns, we estimate relative rates and length distributions of indels among primates and rodents. This technique has the advantage of potentially handling large genomic data sets. We find that a zeta power-law model of indel lengths provides a much better fit than the traditional geometric model and that indel processes are conserved between our taxa. The estimated relative rates are about 12-16 indels per 100 substitutions, and the estimated power-law magnitudes are about 1.6-1.7. More significantly, we find that using the traditional geometric/affine model of indel lengths introduces artifacts into evolutionary analysis, casting doubt on studies of the evolution and diversity of indel formation using traditional models and invalidating measures of species divergence that include indel lengths.

Indexed as

AlgorithmsINDEL MutationAnimalsHumansMarkov ChainsModels, Genetic

Identifiers

PMID19042944
PMCPMC2734402

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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.