ArticleGenome research2004
EAnnot: a genome annotation tool using experimental evidence.
Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed.
- Integrated transcriptome catalog of Tenualosa ilisha as a resource for gene discovery and expression profiling.Scientific data · 2023Article
- GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations.Bioinformatics (Oxford, England) · 2023Article
- De novo transcriptome assembly and annotation for gene discovery in avocado, macadamia and mango.Scientific data · 2020Article
- Gene expression analysis distinguishes tissue-specific and gender-related functions among adult Ascaris suum tissues.Molecular genetics and genomics : MGG · 2013Article
- The draft genome of the parasitic nematode Trichinella spiralis.Nature genetics · 2011Article
- Histoplasma capsulatum proteome response to decreased iron availability.Proteome science · 2008Article
- Advances in the sequencing of the genome of the adenophorean nematode Trichinella spiralis.Parasitology · 2008Review
- The canine hookworm genome: analysis and classification of Ancylostoma caninum survey sequences.Molecular and biochemical parasitology · 2008Article
- Combined evidence annotation of transposable elements in genome sequences.PLoS computational biology · 2005Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The sequence of any genome becomes most useful for biological experimentation when a complete and accurate gene set is available. Gene prediction programs offer an efficient way to generate an automated gene set. Manual annotation, when performed by experienced annotators, is more accurate and complete than automated annotation. However, it is a laborious and expensive process, and by its nature, introduces a degree of variability not found with automated annotation. EAnnot (Electronic Annotation) is a program originally developed for manually annotating the human genome. It combines the latest bioinformatics tools to extract and analyze a wide range of publicly available data in order to achieve fast and reliable automatic gene prediction and annotation. EAnnot builds gene models based on mRNA, EST, and protein alignments to genomic sequence, attaches supporting evidence to the corresponding genes, identifies pseudogenes, and locates poly(A) sites and signals. Here, we compare manual annotation of human chromosome 6 with annotation performed by EAnnot in order to assess the latter's accuracy. EAnnot can readily be applied to manual annotation of other eukaryotic genomes and can be used to rapidly obtain an automated gene set.
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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.