Evidence map›Paper›PMID 25780509›Full record

ArticleStandards in genomic sciences2014

Quality scores for 32,000 genomes.

Miriam L Land, Doug Hyatt, Se-Ran Jun, Guruprasad H Kora, Loren J Hauser, Oksana Lukjancenko, David W Ussery

Open access · goldAbstract read
In one paragraph

Article in Standards in genomic sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

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  18. Analysis of Draft Genome Sequence ofBioMed research international · 2017
    Article
  19. Article
  20. 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 at 4 institutions in 2 countries.

Miriam L LandComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA.
Doug HyattComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA ; Joint Institute for Biological Sciences, University of Tennessee, Knoxville, TN 37996, USA.
Se-Ran JunComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA.
Guruprasad H KoraComputer Science and Mathematics Division, Computer Science Research Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Loren J HauserComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA ; Joint Institute for Biological Sciences, University of Tennessee, Knoxville, TN 37996, USA ; Department of Microbiology, University of Tennessee, Knoxville, TN 37996, USA.
Oksana LukjancenkoCenter for Genomic Epidemiology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
David W UsseryComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA ; Joint Institute for Biological Sciences, University of Tennessee, Knoxville, TN 37996, USA ; Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Kgs. Lyngby 2800, Denmark.
Oak Ridge National Laboratory · USJoint Institute for Computational Sciences · USTechnical University of Denmark · DKUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 80% of the microbial genomes in GenBank are of 'draft' quality (12,553 draft vs. 2,679 finished, as of October, 2013). We have examined all the microbial DNA sequences available for complete, draft, and Sequence Read Archive genomes in GenBank as well as three other major public databases, and assigned quality scores for more than 30,000 prokaryotic genome sequences.

resultsScores were assigned using four categories: the completeness of the assembly, the presence of full-length rRNA genes, tRNA composition and the presence of a set of 102 conserved genes in prokaryotes. Most (~88%) of the genomes had quality scores of 0.8 or better and can be safely used for standard comparative genomics analysis. We compared genomes across factors that may influence the score. We found that although sequencing depth coverage of over 100x did not ensure a better score, sequencing read length was a better indicator of sequencing quality. With few exceptions, most of the 30,000 genomes have nearly all the 102 essential genes.

conclusionsThe score can be used to set thresholds for screening data when analyzing "all published genomes" and reference data is either not available or not applicable. The scores highlighted organisms for which commonly used tools do not perform well. This information can be used to improve tools and to serve a broad group of users as more diverse organisms are sequenced. Unexpectedly, the comparison of predicted tRNAs across 15,000 high quality genomes showed that anticodons beginning with an 'A' (codons ending with a 'U') are almost non-existent, with the exception of one arginine codon (CGU); this has been noted previously in the literature for a few genomes, but not with the depth found here.

Indexed as

DatabaseDNAEvaluationQualitySequencingStatus

Identifiers

PMID25780509
PMCPMC4334873
OpenAlexW2139345750

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.