Evidence map›Paper›PMID 30863552›Full record

ArticleVirus evolution2019

SANTA-SIM: simulating viral sequence evolution dynamics under selection and recombination.

Abbas Jariani, Christopher Warth, Koen Deforche, Pieter Libin, Alexei J Drummond, Andrew Rambaut, Frederick A Matsen Iv, Kristof Theys

Abstract read
In one paragraph

Article in Virus evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  16. Evolution during primary HIV infection does not require adaptive immune selection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

8 authors.

Abbas JarianiLaboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.
Christopher WarthProgram in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Koen DeforcheEmweb, 3020 Herent, Belgium.
Pieter LibinLaboratory Clinical and Evolutionary Virology, Rega Institute for Medical Research - KU Leuven, Leuven, Belgium.
Alexei J DrummondCentre for Computational Evolution, University of Auckland, Auckland, New Zealand.
Andrew RambautAshworth Laboratories, Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4337-3707
Frederick A Matsen IvProgram in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kristof TheysLaboratory Clinical and Evolutionary Virology, Rega Institute for Medical Research - KU Leuven, Leuven, Belgium.ORCID 0000-0003-0242-7000

Funding

Leveraing deep sequencing data to understand antibody maturationR01GM113246 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2014 to 2018
$1.9M
NIGMS NIH HHS R01 GM113246Wellcome Trust
6 · The paper itself

Abstract

Simulations are widely used to provide expectations and predictive distributions under known conditions against which to compare empirical data. Such simulations are also invaluable for testing and comparing the behaviour and power of inference methods. We describe SANTA-SIM, a software package to simulate the evolution of a population of gene sequences forwards through time. It models the underlying biological processes as discrete components: replication, recombination, point mutations, insertion-deletions, and selection under various fitness models and population size dynamics. The software is designed to be intuitive to work with for a wide range of users and executable in a cross-platform manner.

Indexed as

fitnessmutationrecombinationselectionsimulation

Identifiers

PMID30863552
PMCPMC6407609

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.