Evidence map›Paper›PMID 19236712›Full record

ArticleBMC bioinformatics2009

Quantitative measures for the management and comparison of annotated genomes.

Karen Eilbeck, Barry Moore, Carson Holt, Mark Yandell

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
–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

85 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Reconstruction and analyses of genome-scaleMetabolic engineering communications · 2024
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  12. Vole genomics links determinate and indeterminate growth of teeth.bioRxiv : the preprint server for biology · 2024
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25 more citing papers are in PubMed but not listed here.

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.

Karen EilbeckDepartment of Human genetics, Eccles Institute of Human Genetics, University of Utah and School of Medicine, Salt Lake City, UT, USA. keilbeck@genetics.utah.edu
Barry Moore
Carson Holt
Mark Yandell

Funding

Software for the creation and quality control of genome annotationsR01HG004694 · NHGRI · UNIVERSITY OF UTAH · PI YANDELL, MARK DOUGLAS · 2008 to 2011
$2.2M
Softward to facilitate adoption of the Sequence Ontology for genome managementR01HG004341 · NHGRI · UNIVERSITY OF UTAH · PI EILBECK, KAREN LOUISE · 2007 to 2013
$1.6M
NHGRI NIH HHS R01 HG004341NHGRI NIH HHS R01 HG004694
6 · The paper itself

Abstract

backgroundThe ever-increasing number of sequenced and annotated genomes has made management of their annotations a significant undertaking, especially for large eukaryotic genomes containing many thousands of genes. Typically, changes in gene and transcript numbers are used to summarize changes from release to release, but these measures say nothing about changes to individual annotations, nor do they provide any means to identify annotations in need of manual review.

resultsIn response, we have developed a suite of quantitative measures to better characterize changes to a genome's annotations between releases, and to prioritize problematic annotations for manual review. We have applied these measures to the annotations of five eukaryotic genomes over multiple releases -- H. sapiens, M. musculus, D. melanogaster, A. gambiae, and C. elegans.

conclusionOur results provide the first detailed, historical overview of how these genomes' annotations have changed over the years, and demonstrate the usefulness of these measures for genome annotation management.

Indexed as

GenomeAlternative SplicingAnimalsDatabases, GeneticGenomics

Identifiers

PMID19236712
PMCPMC2653490

What OpenQuestion holds

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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.