Evidence map›Paper›PMID 35748425›Full record

ArticleMolecular ecology resources2022

phylogatR: Phylogeographic data aggregation and repurposing.

Tara A Pelletier, Danielle J Parsons, Sydney K Decker, Stephanie Crouch, Eric Franz, Jeffery Ohrstrom, Bryan C Carstens

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 3 institutions in 1 country.

Tara A PelletierDepartment of Biology, Radford University, Radford, Virginia, USA.ORCID https://orcid.org/0000-0003-3190-3053
Danielle J ParsonsDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.
Sydney K DeckerDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.
Stephanie CrouchDepartment of Biology, Radford University, Radford, Virginia, USA.
Eric FranzOhio Supercomputer Center, Columbus, Ohio, USA.
Jeffery OhrstromOhio Supercomputer Center, Columbus, Ohio, USA.
Bryan C CarstensDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-1552-227X
State Library of Ohio · USOhio Supercomputer Center · USRadford University · US

Funding

National Science Foundation DBI-1910623National Science Foundation DBI-1911293
6 · The paper itself

Abstract

Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta-analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time-consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready-to-analyse sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR: large meta-analyses of thousands of species that can address classic questions in evolutionary biology and ecology, and student- or citizen- science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web-based tools that enable these data to be recycled and reanalysed and increase accessibility to big data for research laboratories and classroom instructors with limited computational expertise and resources.

Indexed as

Data AggregationEcologyEcosystemHumansPhylogeographySoftwarebiodiversity informaticsdata repurposinggenetic diversitymacrogeneticsopen science

Identifiers

PMID35748425
PMCPMC9796472
OpenAlexW4283364375

What OpenQuestion 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 OpenQuestion graph.