Evidence map›Paper›PMID 14500829›Full record

ArticleNucleic acids research2003

Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies.

Brian J Haas, Arthur L Delcher, Stephen M Mount, Jennifer R Wortman, Roger K Smith, Linda I Hannick, Rama Maiti, Catherine M Ronning, Douglas B Rusch, Christopher D Town and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,523 papers.

0numbers the graph read from it
0cells of the map it votes in
1,523citing 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

1,523 citing papers in PubMed.

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1,463 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.

Brian J HaasThe Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA. bhaas@tigr.org
Arthur L Delcher
Stephen M Mount
Jennifer R Wortman
Roger K Smith
Linda I Hannick
Rama Maiti
Catherine M Ronning
Douglas B Rusch
Christopher D Town
Steven L Salzberg
Owen White

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-LM06845-04
6 · The paper itself

Abstract

The spliced alignment of expressed sequence data to genomic sequence has proven a key tool in the comprehensive annotation of genes in eukaryotic genomes. A novel algorithm was developed to assemble clusters of overlapping transcript alignments (ESTs and full-length cDNAs) into maximal alignment assemblies, thereby comprehensively incorporating all available transcript data and capturing subtle splicing variations. Complete and partial gene structures identified by this method were used to improve The Institute for Genomic Research Arabidopsis genome annotation (TIGR release v.4.0). The alignment assemblies permitted the automated modeling of several novel genes and >1000 alternative splicing variations as well as updates (including UTR annotations) to nearly half of the approximately 27 000 annotated protein coding genes. The algorithm of the Program to Assemble Spliced Alignments (PASA) tool is described, as well as the results of automated updates to Arabidopsis gene annotations.

Indexed as

Genome, PlantSoftwareAlgorithmsAlternative SplicingArabidopsisDNA, ComplementaryExpressed Sequence TagsIntronsPlant ProteinsRNA, PlantSequence AlignmentTranscription, GeneticUntranslated RegionsDNA, ComplementaryPlant ProteinsRNA, PlantUntranslated Regions

Identifiers

PMID14500829
PMCPMC206470

What OpenQuestion holds

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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.