Evidence map›Paper›PMID 30253810›Full record

ArticleGenome biology2018

ABLE: blockwise site frequency spectra for inferring complex population histories and recombination.

Champak R Beeravolu, Michael J Hickerson, Laurent A F Frantz, Konrad Lohse

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Practical considerations for plant phylogenomics.Applications in plant sciences · 2018
    Review
  10. Variation in recombination frequency and distribution across eukaryotes: patterns and processes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
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

4 authors.

Champak R BeeravoluBiology Department, The City College of New York, New York, 10031, NY, USA. champak.br@gmail.com.ORCID 0000-0002-0800-1994
Michael J HickersonBiology Department, The City College of New York, New York, 10031, NY, USA.
Laurent A F FrantzPaleogenomics and Bio-Archaeology Research Network, Research Laboratory for Archeology and History of Art, University of Oxford, Oxford, OX1 3QY, UK.
Konrad LohseInstitute of Evolutionary Biology, University of Edinburgh, King's Buildings, Edinburgh, EH9 3FL, UK.

Funding

European Research Council 337574European Research Council ERC-2013-StG-337574-UNDEADFAPESP BIOTA, 2013/50297-0National Science Foundation ACI-1126113National Science Foundation CNS-0958379National Science Foundation DEB-1253710National Science Foundation (US) CNS-0855217National Science Foundation (US) DOB 1343578Natural Environment Research Council (GB) NE/L011522/1
6 · The paper itself

Abstract

We introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel simulation-based composite likelihood method that uses the blockwise site frequency spectrum to jointly infer past demography and recombination. ABLE is explicitly designed for a wide variety of data from unphased diploid genomes to genome-wide multi-locus data (for example, RADSeq) and can also accommodate arbitrarily large samples. We use simulations to demonstrate the accuracy of this method to infer complex histories of divergence and gene flow and reanalyze whole genome data from two species of orangutan. ABLE is available for download at https://github.com/champost/ABLE .

Indexed as

Recombination, GeneticAnimalsDemographyGenomicsPongoSample SizeAdmixtureComposite likelihoodInferenceOrangutanPopulation historyRecombination

Identifiers

PMID30253810
PMCPMC6156964

What OpenQuestion holds

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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.