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ESTprep: preprocessing cDNA sequence reads
Journal article   Open access   Peer reviewed

ESTprep: preprocessing cDNA sequence reads

Todd E Scheetz, Nishank Trivedi, Chad A Roberts, Tamara Kucaba, Brian Berger, Natalie L Robinson, Clayton L Birkett, Allen J Gavin, Brian O'Leary, Terry A Braun, …
Bioinformatics (Oxford, England), Vol.19(11), pp.1318-1324
07/22/2003
DOI: 10.1093/bioinformatics/btg159
PMID: 12874042
url
https://doi.org/10.1093/bioinformatics/btg159View
Published (Version of record) Open Access

Abstract

High accuracy of data always governs the large-scale gene discovery projects. The data should not only be trustworthy but should be correctly annotated for various features it contains. Sequence errors are inherent in single-pass sequences such as ESTs obtained from automated sequencing. These errors further complicate the automated identification of EST-related sequencing. A tool is required to prepare the data prior to advanced annotation processing and submission to public databases. This paper describes ESTprep, a program designed to preprocess expressed sequence tag (EST) sequences. It identifies the location of features present in ESTs and allows the sequence to pass only if it meets various quality criteria. Use of ESTprep has resulted in substantial improvement in accurate EST feature identification and fidelity of results submitted to GenBank. The program is freely available for download from http://genome.uiowa.edu/pubsoft/software.html
Sequence Alignment - methods Algorithms Base Sequence DNA, Complementary - genetics Molecular Sequence Data Gene Expression Profiling - methods Software DNA, Complementary - chemistry Sequence Analysis, DNA - methods Expressed Sequence Tags Quality Control

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