2006
DOI: 10.1093/nar/gkj133
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Ensembl 2006

Abstract: The Ensembl () project provides a comprehensive and integrated source of annotation of large genome sequences. Over the last year the number of genomes available from the Ensembl site has increased from 4 to 19, with the addition of the mammalian genomes of Rhesus macaque and Opossum, the chordate genome of Ciona intestinalis and the import and integration of the yeast genome. The year has also seen extensive improvements to both data analysis and presentation, with the introduction of a redesigned website, th… Show more

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Cited by 361 publications
(322 citation statements)
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“…Gene prediction and phylogeny. Opossum protein-coding and non-coding RNA genes were predicted using a modified version of the Ensembl genebuild pipeline 101 , followed by several rounds of refinement using Exonerate 102 and manual curation. Orthology and paralogy were inferred using the PhyOP pipeline with all predicted opossum and human (Ensembl v40) gene transcripts as input and K S as the distance metric 11,34 .…”
Section: Methodsmentioning
confidence: 99%
“…Gene prediction and phylogeny. Opossum protein-coding and non-coding RNA genes were predicted using a modified version of the Ensembl genebuild pipeline 101 , followed by several rounds of refinement using Exonerate 102 and manual curation. Orthology and paralogy were inferred using the PhyOP pipeline with all predicted opossum and human (Ensembl v40) gene transcripts as input and K S as the distance metric 11,34 .…”
Section: Methodsmentioning
confidence: 99%
“…Comparison of the gene expression profiles in control cells with or without PD169316 indicated that the inhibitor by itself had a negligible impact as it resulted in the differential expression of only one gene (SERPINA1 fold change: 1.96, P ¼ 0.008). Selected differential expressed genes were annotated with GO identifiers using the biomaRt package (Durinck et al, 2005), which retrieves data from Ensembl (Birney et al, 2006). These GO terms were mapped to the generic GO slim available from the GO website (http://www.geneontology.org).…”
Section: Analysis Of Microarraysmentioning
confidence: 99%
“…Thus ARC allows the user to find regions that are common to multiple sets as well as regions that are specific to one set and not another. Additionally, by interfacing with a local Ensembl database (Birney et al 2006), we can obtain a region's genomic annotation, which includes the sequence of the region, overlapping or nearby annotated transcripts, and other details such as the lengths and coordinates of overlapping and nearby exons. ARC also has an interface for exporting and visualizing multiple data sets via the UCSC Genome Browser, which displays sets of ARs alongside sets of genomic annotation to provide a graphical overview of the selected region.…”
Section: Active Region Comparer Toolmentioning
confidence: 99%
“…6B) annotates and filters AR data sets using a local Ensembl database (Birney et al 2006). Its options include grabbing features of the interval itself (sequence, G/C content, etc.…”
Section: Arc Toolmentioning
confidence: 99%
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