Evidence map›Paper›PMID 32722051›Full record

ArticleGenes2020

Comparative Analysis of the Transcriptome and Distribution of Putative SNPs in Two Rainbow Trout (

Lidia de Los Ríos-Pérez, Ronald Marco Brunner, Frieder Hadlich, Alexander Rebl, Carsten Kühn, Dörte Wittenburg, Tom Goldammer, Marieke Verleih

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024
    Review
  4. 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

8 authors at 1 institution in 1 country.

Lidia de Los Ríos-PérezInstitute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0001-8392-2657
Ronald Marco BrunnerInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.
Frieder HadlichInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.
Alexander ReblInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0002-2918-7433
Carsten KühnInstitute of Fisheries, Mecklenburg-Vorpommern Research Centre for Agriculture and Fisheries (LFA MV), 18069 Rostock, Germany.
Dörte WittenburgInstitute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.
Tom GoldammerInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0003-1215-5504
Marieke VerleihInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0002-5141-5818
Research Institute for Farm Animal Biology (FBN) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective breeding can significantly improve the establishment of sustainable and profitable aquaculture fish farming. For rainbow trout (

Indexed as

Gene Regulatory NetworksGenetic MarkersPolymorphism, Single NucleotideTranscriptomeAnimalsHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationOncorhynchus mykissSpecies SpecificityGenetic Markersaquaculturep53rainbow troutRNA-seqselective breedingsingle nucleotide polymorphismSNPtranscriptome

Identifiers

PMID32722051
PMCPMC7464081
OpenAlexW3044724091

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.