Evidence map›Paper›PMID 26556388›Full record

ArticleBioinformatics (Oxford, England)2016

SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes.

Matthias Steinrücken, Ethan M Jewett, Yun S Song

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. EWF: simulating exact paths of the Wright-Fisher diffusion.Bioinformatics (Oxford, England) · 2023
    Article
  7. Article
  8. Review
  9. Article
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

3 authors.

Matthias SteinrückenDepartment of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA.
Ethan M JewettDepartment of Statistics.
Yun S SongDepartment of Statistics, Department of EECS, Department of Integrative Biology, University of California, Berkeley, CA 94720, USA, Department of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Mathematical Models and Statistical Methods for Large-Scale Population GenomicsR01GM094402 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2010 to 2018
$2.2M
Methods for inference of complex demography and selection from genomic dataR01GM109454 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2013 to 2016
$1.2M
NIGMS NIH HHS R01 GM094402NIGMS NIH HHS R01 GM109454
6 · The paper itself

Abstract

motivationIn the Wright-Fisher diffusion, the transition density function describes the time evolution of the population-wide frequency of an allele. This function has several practical applications in population genetics and computing it for biologically realistic scenarios with selection and demography is an important problem.

resultsWe develop an efficient method for finding a spectral representation of the transition density function for a general model where the effective population size, selection coefficients and mutation parameters vary over time in a piecewise constant manner. AVAILABILITY AND IMPLEMENTATION: The method, called SpectralTDF, is available at https://sourceforge.net/projects/spectraltdf/ CONTACT: yss@berkeley.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Mutation RateGenetics, PopulationModels, GeneticMutationSelection, Genetic

Identifiers

PMID26556388
PMCPMC4907395

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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.