ReviewPlant molecular biology2002
Computational modeling of gene structure in Arabidopsis thaliana.
Review in Plant molecular biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 26 citations in OpenAlex.
- Expressed sequence tags of Aspergillus fumigatus: Extension of catalogue and their evaluation as putative drug targets and/or diagnostic markers.Indian journal of clinical biochemistry : IJCB · 2009Article
- Gene models from ESTs (GeneModelEST): an application on the Solanum lycopersicum genome.BMC bioinformatics · 2007Article
- A novel class of Helitron-related transposable elements in maize contain portions of multiple pseudogenes.Plant molecular biology · 2005Article
- Functional genomics of wood quality and properties.Genomics, proteomics & bioinformatics · 2003Review
- GeneSeqer@PlantGDB: Gene structure prediction in plant genomes.Nucleic acids research · 2003Article
- Refined annotation of the Arabidopsis genome by complete expressed sequence tag mapping.Plant physiology · 2003Article
- The maize genome contains a helitron insertion.The Plant cell · 2003Article
- ZmDB, an integrated database for maize genome research.Nucleic acids research · 2003Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational gene identification by sequence inspection remains a challenging problem. For a typical Arabidopsis thaliana gene with five exons, at least one of the exons is expected to have at least one of its borders predicted incorrectly by ab initio gene finding programs. More detailed analysis for individual genomic loci can often resolve the uncertainty on the basis of EST evidence or similarity to potential protein homologues. Such methods are part of the routine annotation process. However, because the EST and protein databases are constantly growing, in many cases original annotation must be re-evaluated, extended, and corrected on the basis of the latest evidence. The Arabidopsis Genome Initiative is undertaking this task on the whole-genome scale via its participating genome centers. The current Arabidopsis genome annotation provides an excellent starting point for assessing the protein repertoire of a flowering plant. More accurate whole-genome annotation will require the combination of high-throughput and individual gene experimental approaches and computational methods. The purpose of this article is to discuss tools available to an individual researcher to evaluate gene structure prediction for a particular locus.
Indexed as
Identifiers
11860212W2116859086What OpenQuestion holds
Registered trials
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.