Evidence map›Paper›PMID 17284677›Full record

ArticleGenome research2007

Improvement of whole-genome annotation of cereals through comparative analyses.

Wei Zhu, C Robin Buell

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  3. Evolutionary transients in the rice transcriptome.Genomics, proteomics & bioinformatics · 2010
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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

2 authors at 1 institution in 1 country.

Wei ZhuThe Institute for Genomic Research, Rockville, Maryland 20850, USA.
C Robin Buell
J. Craig Venter Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is an important model species for the Poaceae and other monocotyledonous plants. With the availability of a near-complete, finished, and annotated rice genome, we performed genome level comparisons between rice and all plant species in which large genomic or transcriptomic data sets are available to determine the utility of cross-species sequence for structural and functional annotation of the rice genome. Through comparative analyses with four plant genome sequence data sets and transcript assemblies from 185 plant species, we were able to confirm and improve the structural annotation of the rice genome. Support for 38,109 (89.3%) of the total 42,653 nontransposable element-related genes in the rice genome in the form of a rice expressed sequence tag, full-length cDNA, or plant homolog from our comparative analyses could be found. Although the majority of the putative homologs were obtained from Poaceae species, putative homologs were identified in dicotyledonous angiosperms, gymnosperms, and other plants such as algae, moss, and fern. A set of rice genes (7669) lacking a putative homolog was identified which may be lineage-specific genes that evolved after speciation and have a role in species diversity. Improvements to the current rice gene structural annotation could be identified from our comparative alignments and we were able to identify 487 genes which were mostly likely missed in the current rice genome annotation and another 500 genes for structural annotation review. We were able to demonstrate the utility of cross-species comparative alignments in the identification of noncoding sequences and in confirmation of gene nesting in rice.

Indexed as

Genetic VariationBase SequenceComputational BiologyConserved SequenceDNA, ComplementaryEdible GrainExpressed Sequence TagsGenes, PlantGenome, PlantGenomicsModels, GeneticMolecular Sequence DataSequence AlignmentSequence HomologySpecies SpecificityDNA, Complementary

Identifiers

PMID17284677
PMCPMC1800921
OpenAlexW2130095403

What OpenQuestion holds

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Registered trials

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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.