A practical guide to build

Santiago Montero-Mendieta, Manfred Grabherr, Henrik Lantz, Ignacio De la Riva, Jennifer A Leonard, Matthew T Webster, Carles Vilà

Abstract read

PubMed Full text at PMC Publisher

In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it

0cells of the map it votes in

5citing 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

5 citing papers in PubMed.

De novo transcriptome assembly and identification of G-Protein-Coupled-Receptors (GPCRs) in two species of monogenean parasites of fish.Parasite (Paris, France) · 2022
Article
PeerJ · 2021
Article
A tree frog (Data in brief · 2020
Article
Methodological Insight Into Mosquito Microbiome Studies.Frontiers in cellular and infection microbiology · 2020
Article
Next generation sequencing and RNA-seq characterization of adipose tissue in the Nile crocodile (Crocodylus niloticus) in South Africa: Possible mechanism(s) of pathogenesis and pathophysiology of pansteatitis.PloS one · 2019
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.

Santiago Montero-MendietaConservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain.

Manfred GrabherrDepartment of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden (BILS), Uppsala Universitet, Uppsala, Sweden.

Henrik LantzDepartment of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden (BILS), Uppsala Universitet, Uppsala, Sweden.

Ignacio De la RivaDepartment of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas, Madrid, Spain.

Jennifer A LeonardConservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain.

Matthew T WebsterDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden.

Carles VilàConservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) is a very valuable resource to understand the evolutionary history of poorly known species. However, in organisms with large genomes, as most amphibians, WGS is still excessively challenging and transcriptome sequencing (RNA-seq) represents a cost-effective tool to explore genome-wide variability. Non-model organisms do not usually have a reference genome and the transcriptome must be assembled

Indexed as

Clusters of Orthologous GroupsFrog transcriptomeGene ontologyGenomicsKyoto encyclopedia of genes and genomesProtein domain identificationRNA-seqTranscriptomicsTrinity

Identifiers

PMID28879061

DOI10.7717/peerj.3702

PMCPMC5582611

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.