Evidence map›Paper›PMID 31975176›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

Genomic Access to the Diversity of Fishes.

Arne W Nolte

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
2.0field-weighted citation impact, top 14% 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, 7 citations in OpenAlex.

  1. Bony fish genomes: Status and gaps.Journal of fish biology · 2026
    Review
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Arne W NolteAG Ökologische Genomik, Institut für Biologie und Umweltwissenschaften, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany. arne.nolte@uni-oldenburg.de.
Carl von Ossietzky Universität Oldenburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of fishes exceeds that of all other vertebrates both in terms of species numbers and in their morphological and phylogenetic diversity. They are an ecologically and economically important group and play an essential role as a resource for humans. This makes the genomic exploration of fishes an important area of research, both from an applied and a basic research perspective. Fish genomes can vary greatly in complexity, which is partially due to differences in size and content of repetitive DNA, a history of genome duplication events and because fishes may be polyploid, all of which complicate the assembly and analysis of genome sequences. However, the advent of modern sequencing techniques now facilitates access to genomic data that permit genome-wide exploration of genetic information even for previously unexplored species. The development of genomic resources for fishes is spearheaded by model organisms that have been subject to genetic analysis and genome sequencing projects for a long time. These offer a great potential for the exploration of new species through the transfer of genomic information in comparative analyses. A growing number of genome sequencing projects and the increasing availability of tools to assemble and access genomic information now move boundaries between model and nonmodel species and promises progress in many interesting but unexplored species that remain to be studied.

Indexed as

AnimalsDatabases, GeneticEvolution, MolecularFishesGenome SizeGenomicsPhylogenyGenome sizeGenomic makeupNonmodel organismsPloidyTeleostei

Identifiers

PMID31975176
OpenAlexW3001294367

What OpenQuestion holds

Textmetadata
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.