Evidence map›Paper›PMID 39172750›Full record

ReviewMolecular biology and evolution2024

Insertions and Deletions: Computational Methods, Evolutionary Dynamics, and Biological Applications.

Benjamin D Redelings, Ian Holmes, Gerton Lunter, Tal Pupko, Maria Anisimova

Erratum issuedAbstract readReview
In one paragraph

Review in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Protein Structural Phylogenetics.Genome biology and evolution · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Benjamin D RedelingsDepartment of Mathematics, Tulane University, New Orleans, LA 70118, USA.ORCID 0000-0002-3278-4343
Ian HolmesDepartment of Bioengineering, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-7639-5369
Gerton LunterDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, The Netherlands.ORCID 0000-0002-3798-2058
Tal PupkoThe Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0001-9463-2575
Maria AnisimovaInstitute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland.ORCID 0000-0001-8145-7966

Funding

Web-based visualization of coronavirus genomes and proteinsR01HG004483 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI Ian H Holmes · 2007 to 2026
$9.3M
Novel Web-based Tools for Collaborative Community-Driven Genome Feature AnnotatioR01GM080203 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Ian H Holmes · 2007 to 2026
$8.5M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
Israel Science Foundation 2818/21Louisiana Board of Regents NSF DEB1754142NHGRI NIH HHS R01 HG004483NIAID NIH HHS R01 AI153044NIGMS NIH HHS R01 GM080203
6 · The paper itself

Abstract

Insertions and deletions constitute the second most important source of natural genomic variation. Insertions and deletions make up to 25% of genomic variants in humans and are involved in complex evolutionary processes including genomic rearrangements, adaptation, and speciation. Recent advances in long-read sequencing technologies allow detailed inference of insertions and deletion variation in species and populations. Yet, despite their importance, evolutionary studies have traditionally ignored or mishandled insertions and deletions due to a lack of comprehensive methodologies and statistical models of insertions and deletion dynamics. Here, we discuss methods for describing insertions and deletion variation and modeling insertions and deletions over evolutionary time. We provide practical advice for tackling insertions and deletions in genomic sequences and illustrate our discussion with examples of insertions and deletion-induced effects in human and other natural populations and their contribution to evolutionary processes. We outline promising directions for future developments in statistical methodologies that would allow researchers to analyze insertions and deletion variation and their effects in large genomic data sets and to incorporate insertions and deletions in evolutionary inference.

Indexed as

Evolution, MolecularINDEL MutationAnimalsComputational BiologyGenomicsHumansModels, Geneticalignmentdeletionevolutionindelinsertionphylogeny

Identifiers

PMID39172750
PMCPMC11385596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.