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PMID: 12824401 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

ESTAnnotator: A tool for high throughput EST annotation.

Nucleic acids research ·Vol. 31 ·No. 13 ·2003-07-01 ·Pages 3716-9

Hotz-Wagenblatt A, Hankeln T, Ernst P, Glatting KH, Schmidt ER, Suhai S

Abstract

In high throughput sequence analysis, it is often necessary to combine the results of contemporary bioinformatics tools, because no individual tool alone computes all the requested information. ESTAnnotator is a tool for the high throughput annotation of expressed sequence tags (ESTs) by automatically running a collection of bioinformatics applications. In the first step, a quality check is performed and repeats, vector parts and low quality sequences are masked. Then successive steps of database searching and EST clustering are performed. Already known transcripts present within mRNA and genomic DNA reference databases are identified. Subsequently, tools for the clustering of anonymous ESTs, and for further database searches at the protein level, are applied. Finally, the outputs of each individual tool are gathered and the relevant results presented in a descriptive summary. ESTAnnotator was already successfully applied for the systematic identification and characterisation of novel human genes involved in cartilage/bone formation, growth, differentiation and homeostasis. ESTAnnotator is available at http://genome.dkfz-heidelberg.de, contact: genome@dkfz.de.

MeSH Terms
Cartilage/metabolism Cluster Analysis Databases, Genetic Expressed Sequence Tags Genomics/methods Humans Internet Sequence Analysis, DNA/methods Sequence Homology, Nucleic Acid Software User-Computer Interface
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Hotz-Wagenblatt Agnes
Department of Molecular Biophysics, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. hotz-wagenblatt@dkfz.de
Hankeln Thomas
Ernst Peter
Glatting Karl-Heinz
Schmidt Erwin R
Suhai Sándor
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2003-07-01
Pages
3716-9
Language
English
Region
England
NLM ID
0411011
PMCID
PMC169160
Subset
IM
Analysis Services
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