Evidence map›Paper›PMID 32478790›Full record

ArticleGenetics and molecular biology2020

Tools for Evolutionary and Genetic Analysis (TEGA): A new platform for the management of molecular and environmental data.

Dario Ezequiel Elias, Eva Carolina Rueda Rueda

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Dario Ezequiel EliasUniversidad Nacional de Entre Ríos, Facultad de Ingeniería, Cátedra de Genética, Oro Verde, Entre Ríos, Argentina.ORCID http://orcid.org/0000-0002-6576-8569
Eva Carolina Rueda RuedaUniversidad Nacional de Entre Ríos, Facultad de Ingeniería, Cátedra de Genética, Oro Verde, Entre Ríos, Argentina.ORCID http://orcid.org/0000-0001-5767-1006
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad Nacional de Entre Ríos · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population genetics studies the distributions and changes in population allele frequencies in response to processes, such as mutation, natural selection, gene flow, and genetic drift. Researchers daily manage genetic, biological, and environmental data of the samples, storing them in text files or spreadsheets, which makes it difficult to maintain consistency and traceability. Here we present TEGA, a WEB-based stand-alone software developed for the easy analysis and management of population genetics data. It was designed to: 1) facilitate data management, 2) provide a way to execute the analysis procedures, and 3) supply a means to publish data, procedures, and results. TEGA is distributed under the GNU AGPL v3 license. The documentation, source code, and screenshots are available at https://github.com/darioelias/TEGA. In addition, we present Rabid Fish, the first implementation of TEGA in the Genetics Labortory of the Faculty of Humanities and Sciences at the National University of the Litoral, where research focuses on population genetics studies applied to non-model organisms.

Identifiers

PMID32478790
PMCPMC7263200
OpenAlexW3029678881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.