Evidence map›Paper›PMID 30084847›Full record

ArticleScientific data2018

A database of metazoan cytochrome c oxidase subunit I gene sequences derived from GenBank with CO-ARBitrator.

Philip Heller, James Casaletto, Gregory Ruiz, Jonathan Geller

Abstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

4 authors.

Philip HellerMoss Landing Marine Laboratories, Moss Landing, California 94039, USA.
James CasalettoSan Jose State University, San Jose, California 95192, USA.
Gregory RuizSmithsonian Environmental Research Center, Edgewater, Maryland 21037, USA.
Jonathan GellerMoss Landing Marine Laboratories, Moss Landing, California 94039, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Cytochrome C Oxidase subunit I gene ("COI") is the de facto standard for animal DNA barcoding. Organism identification based on COI requires an accurate and extensive annotated database of COI sequences. Such a database can also be of value in reconstructing evolutionary history and in diversity studies. Two COI databases are currently available: BOLD and Midori. BOLD's submissions conform to stringent sequence and metadata requirements; BOLD is specific to COI but makes no attempt to be comprehensive. Midori, derived from GenBank, has more sequences but less stringent standards than BOLD, resulting in higher error rates. To address the need for a comprehensive and accurate COI database, we adapted the ARBitrator algorithm, which classifies based only on sequence properties and has successfully auto-curated bacterial genes mined from GenBank. The adapted algorithm, which we call CO-ARBitrator, built a database of over a million metazoan COI sequences. Sensitivity and specificity are significantly higher than Midori. Specificity is comparable to what BOLD achieves with data quality prerequisites. Results and software are publicly available.

Indexed as

AlgorithmsAnimalsBiological EvolutionDatabases, Nucleic AcidElectron Transport Complex IVSequence Analysis, DNAElectron Transport Complex IV

Identifiers

PMID30084847
PMCPMC6080493

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.