Evidence map›Paper›PMID 32928113›Full record

ArticleBMC genomics2020

CrustyBase: an interactive online database for crustacean transcriptomes.

Cameron J Hyde, Quinn P Fitzgibbon, Abigail Elizur, Gregory G Smith, Tomer Ventura

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Transcriptomic Analysis across Crayfish (International journal of molecular sciences · 2024
    Article
  4. Article
  5. Ontogeny of the Cytochrome P450 Superfamily in the Ornate Spiny Lobster (International journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in endocrinology · 2023
    Article
  10. Article
  11. Article
  12. Oxygen sensing in crustaceans: functions and mechanisms.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2021
    Review
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

5 authors.

Cameron J HydeGenecology Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland, 4556, Australia. chyde@crustybase.org.ORCID http://orcid.org/0000-0002-5913-9766
Quinn P FitzgibbonInstitute for Marine & Antarctic Studies (IMAS), University of Tasmania, Private Bag 49, Hobart, TAS, 7001, Australia.
Abigail ElizurGenecology Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland, 4556, Australia.
Gregory G SmithInstitute for Marine & Antarctic Studies (IMAS), University of Tasmania, Private Bag 49, Hobart, TAS, 7001, Australia.
Tomer VenturaGenecology Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland, 4556, Australia.

Funding

Australian Research Council DE130101089Australian Research Council DP160103320Australian Research Council IH190100014
6 · The paper itself

Abstract

Transcriptome sequencing has opened the field of genomics to a wide variety of researchers, owing to its efficiency, applicability across species and ability to quantify gene expression. The resulting datasets are a rich source of information that can be mined for many years into the future, with each dataset providing a unique angle on a specific context in biology. Maintaining accessibility to this accumulation of data presents quite a challenge for researchers.The primary focus of conventional genomics databases is the storage, navigation and interpretation of sequence data, which is typically classified down to the level of a species or individual. The addition of expression data adds a new dimension to this paradigm - the sampling context. Does gene expression describe different tissues, a temporal distribution or an experimental treatment? These data not only describe an individual, but the biological context surrounding that individual. The structure and utility of a transcriptome database must therefore reflect these attributes. We present an online database which has been designed to maximise the accessibility of crustacean transcriptome data by providing intuitive navigation within and between datasets and instant visualization of gene expression and protein structure.The site is accessible at https://crustybase.org and currently holds 10 datasets from a range of crustacean species. It also allows for upload of novel transcriptome datasets through a simple web interface, allowing the research community to contribute their own data to a pool of shared knowledge.

Indexed as

Databases, GeneticTranscriptomeAnimalsCrustaceaSoftwareCrabCrayfishExpressionGeneGenomicsLobsterRNA-seqSearchShrimpVisualize

Identifiers

PMID32928113
PMCPMC7490944

What Socratic 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 Socratic graph.