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CR-EST: a resource for crop ESTs

The crop expressed sequence tag database, CR-EST (http://pgrc.ipk-gatersleben.de/cr-est/), is a publicly available online resource providing access to sequence, classification, clustering and annotation data of crop EST projects. CR-EST currently holds more than 200 000 sequences derived from 41 cDN...

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Detalles Bibliográficos
Autores principales: Künne, C., Lange, M., Funke, T., Miehe, H., Thiel, T., Grosse, I., Scholz, U.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540073/
https://www.ncbi.nlm.nih.gov/pubmed/15608274
http://dx.doi.org/10.1093/nar/gki119
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author Künne, C.
Lange, M.
Funke, T.
Miehe, H.
Thiel, T.
Grosse, I.
Scholz, U.
author_facet Künne, C.
Lange, M.
Funke, T.
Miehe, H.
Thiel, T.
Grosse, I.
Scholz, U.
author_sort Künne, C.
collection PubMed
description The crop expressed sequence tag database, CR-EST (http://pgrc.ipk-gatersleben.de/cr-est/), is a publicly available online resource providing access to sequence, classification, clustering and annotation data of crop EST projects. CR-EST currently holds more than 200 000 sequences derived from 41 cDNA libraries of four species: barley, wheat, pea and potato. The barley section comprises approximately one-third of all publicly available ESTs. CR-EST deploys an automatic EST preparation pipeline that includes the identification of chimeric clones in order to transparently display the data quality. Sequences are clustered in species-specific projects to currently generate a non-redundant set of ∼22 600 consensus sequences and ∼17 200 singletons, which form the basis of the provided set of unigenes. A web application allows the user to compute BLAST alignments of query sequences against the CR-EST database, query data from Gene Ontology and metabolic pathway annotations and query sequence similarities from stored BLAST results. CR-EST also features interactive JAVA-based tools, allowing the visualization of open reading frames and the explorative analysis of Gene Ontology mappings applied to ESTs.
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spelling pubmed-5400732005-01-04 CR-EST: a resource for crop ESTs Künne, C. Lange, M. Funke, T. Miehe, H. Thiel, T. Grosse, I. Scholz, U. Nucleic Acids Res Articles The crop expressed sequence tag database, CR-EST (http://pgrc.ipk-gatersleben.de/cr-est/), is a publicly available online resource providing access to sequence, classification, clustering and annotation data of crop EST projects. CR-EST currently holds more than 200 000 sequences derived from 41 cDNA libraries of four species: barley, wheat, pea and potato. The barley section comprises approximately one-third of all publicly available ESTs. CR-EST deploys an automatic EST preparation pipeline that includes the identification of chimeric clones in order to transparently display the data quality. Sequences are clustered in species-specific projects to currently generate a non-redundant set of ∼22 600 consensus sequences and ∼17 200 singletons, which form the basis of the provided set of unigenes. A web application allows the user to compute BLAST alignments of query sequences against the CR-EST database, query data from Gene Ontology and metabolic pathway annotations and query sequence similarities from stored BLAST results. CR-EST also features interactive JAVA-based tools, allowing the visualization of open reading frames and the explorative analysis of Gene Ontology mappings applied to ESTs. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC540073/ /pubmed/15608274 http://dx.doi.org/10.1093/nar/gki119 Text en Copyright © 2005 Oxford University Press
spellingShingle Articles
Künne, C.
Lange, M.
Funke, T.
Miehe, H.
Thiel, T.
Grosse, I.
Scholz, U.
CR-EST: a resource for crop ESTs
title CR-EST: a resource for crop ESTs
title_full CR-EST: a resource for crop ESTs
title_fullStr CR-EST: a resource for crop ESTs
title_full_unstemmed CR-EST: a resource for crop ESTs
title_short CR-EST: a resource for crop ESTs
title_sort cr-est: a resource for crop ests
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540073/
https://www.ncbi.nlm.nih.gov/pubmed/15608274
http://dx.doi.org/10.1093/nar/gki119
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