Evidence map›Paper›PMID 15784138›Full record

ArticleBMC biology2005

Complete reannotation of the Arabidopsis genome: methods, tools, protocols and the final release.

Brian J Haas, Jennifer R Wortman, Catherine M Ronning, Linda I Hannick, Roger K Smith, Rama Maiti, Agnes P Chan, Chunhui Yu, Maryam Farzad, Dongying Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 195 citations in OpenAlex.

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  9. Light-regulated pre-mRNA splicing in plants.Current opinion in plant biology · 2021
    Review
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19 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

12 authors at 1 institution in 1 country.

Brian J HaasThe Institute for Genomic Research, 9172 Medical Center Drive, Rockville, Maryland 20850, USA. bhaas@tigr.org
Jennifer R Wortman
Catherine M Ronning
Linda I Hannick
Roger K Smith
Rama Maiti
Agnes P Chan
Chunhui Yu
Maryam Farzad
Dongying Wu
Owen White
Christopher D Town
Center for Genomic Science · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the initial publication of its complete genome sequence, Arabidopsis thaliana has become more important than ever as a model for plant research. However, the initial genome annotation was submitted by multiple centers using inconsistent methods, making the data difficult to use for many applications.

resultsOver the course of three years, TIGR has completed its effort to standardize the structural and functional annotation of the Arabidopsis genome. Using both manual and automated methods, Arabidopsis gene structures were refined and gene products were renamed and assigned to Gene Ontology categories. We present an overview of the methods employed, tools developed, and protocols followed, summarizing the contents of each data release with special emphasis on our final annotation release (version 5).

conclusionOver the entire period, several thousand new genes and pseudogenes were added to the annotation. Approximately one third of the originally annotated gene models were significantly refined yielding improved gene structure annotations, and every protein-coding gene was manually inspected and classified using Gene Ontology terms.

Indexed as

WritingAlternative SplicingArabidopsisComputational BiologyGenome, PlantModels, GeneticPlant ProteinsSequence Analysis, ProteinPlant Proteins

Identifiers

PMID15784138
PMCPMC1082884
OpenAlexW2138473401

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.