Evidence map›Paper›PMID 26800861›Full record

ArticleBMC bioinformatics2016

EchinoDB, an application for comparative transcriptomics of deeply-sampled clades of echinoderms.

Daniel A Janies, Zach Witter, Gregorio V Linchangco, David W Foltz, Allison K Miller, Alexander M Kerr, Jeremy Jay, Robert W Reid, Gregory A Wray

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A nomenclature for echinoderm genes.Database : the journal of biological databases and curation · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Decimation by sea star wasting disease and rapid genetic change in a keystone species,Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. Article
  12. Article
  13. Workflow and web application for annotating NCBI BioProject transcriptome data.Database : the journal of biological databases and curation · 2017
    Article
  14. 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

9 authors.

Daniel A JaniesDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223-0001, USA. djanies@uncc.edu.
Zach WitterDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223-0001, USA.
Gregorio V LinchangcoDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223-0001, USA.
David W FoltzDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA.
Allison K MillerMarine Laboratory, University of Guam, University Dr, Mangilao, 96923, Guam.
Alexander M KerrMarine Laboratory, University of Guam, University Dr, Mangilao, 96923, Guam.
Jeremy JayDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223-0001, USA.
Robert W ReidDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223-0001, USA.
Gregory A WrayDepartment of Biology, Duke University, Durham, NC, 27708, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of our goals for the echinoderm tree of life project (http://echinotol.org) is to identify orthologs suitable for phylogenetic analysis from next-generation transcriptome data. The current dataset is the largest assembled for echinoderm phylogeny and transcriptomics. We used RNA-Seq to profile adult tissues from 42 echinoderm specimens from 24 orders and 37 families. In order to achieve sampling members of clades that span key evolutionary divergence, many of our exemplars were collected from deep and polar seas. DESCRIPTION: A small fraction of the transcriptome data we produced is being used for phylogenetic reconstruction. Thus to make a larger dataset available to researchers with a wide variety of interests, we made a web-based application, EchinoDB (http://echinodb.uncc.edu). EchinoDB is a repository of orthologous transcripts from echinoderms that is searchable via keywords and sequence similarity.

conclusionsFrom transcripts we identified 749,397 clusters of orthologous loci. We have developed the information technology to manage and search the loci their annotations with respect to the Sea Urchin (Strongylocentrotus purpuratus) genome. Several users have already taken advantage of these data for spin-off projects in developmental biology, gene family studies, and neuroscience. We hope others will search EchinoDB to discover datasets relevant to a variety of additional questions in comparative biology.

Indexed as

Databases, FactualTranscriptomeAnimalsGenomeHigh-Throughput Nucleotide SequencingPhylogenySea Urchins

Identifiers

PMID26800861
PMCPMC4724074

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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.