Evidence map›Paper›PMID 12093376›Full record

ArticleGenome biology2002

Full-length messenger RNA sequences greatly improve genome annotation.

Brian J Haas, Natalia Volfovsky, Christopher D Town, Maxim Troukhan, Nickolai Alexandrov, Kenneth A Feldmann, Richard B Flavell, Owen White, Steven L Salzberg

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
9.5field-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

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 177 citations in OpenAlex.

  1. Pooled it
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  7. A broad view: Dick Flavell.Plant physiology · 2021
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26 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

9 authors at 3 institutions in 2 countries.

Brian J HaasThe Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA. salzberg@tigr.org
Natalia Volfovsky
Christopher D Town
Maxim Troukhan
Nickolai Alexandrov
Kenneth A Feldmann
Richard B Flavell
Owen White
Steven L Salzberg
Center for Genomic Science · ITCeres · USCeres Nanosciences · US

Funding

COMPUTATIONAL MODELING OF GENES AND GENE STRUCTURER01LM006845 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 1999 to 2010
$5.9M
NLM NIH HHS R01 LM006845NLM NIH HHS R01-LM06845
6 · The paper itself

Abstract

backgroundAnnotation of eukaryotic genomes is a complex endeavor that requires the integration of evidence from multiple, often contradictory, sources. With the ever-increasing amount of genome sequence data now available, methods for accurate identification of large numbers of genes have become urgently needed. In an effort to create a set of very high-quality gene models, we used the sequence of 5,000 full-length gene transcripts from Arabidopsis to re-annotate its genome. We have mapped these transcripts to their exact chromosomal locations and, using alignment programs, have created gene models that provide a reference set for this organism.

resultsApproximately 35% of the transcripts indicated that previously annotated genes needed modification, and 5% of the transcripts represented newly discovered genes. We also discovered that multiple transcription initiation sites appear to be much more common than previously known, and we report numerous cases of alternative mRNA splicing. We include a comparison of different alignment software and an analysis of how the transcript data improved the previously published annotation.

conclusionsOur results demonstrate that sequencing of large numbers of full-length transcripts followed by computational mapping greatly improves identification of the complete exon structures of eukaryotic genes. In addition, we are able to find numerous introns in the untranslated regions of the genes.

Indexed as

Genome, PlantAlternative SplicingArabidopsisComputational BiologyDatabases, GeneticExonsGenes, PlantRNA, MessengerRNA, PlantRNA SplicingRNA, MessengerRNA, Plant

Identifiers

PMID12093376
PMCPMC116726
OpenAlexW2144921226

What OpenQuestion holds

Textmetadata
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.