Motivation: High accuracy of data always governs the large-scale gene discovery projects. The data should not only be trustworthy but should be correctly annotated fo rv arious 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. Results: This paper describes ESTprep ,ap rogram 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. Availability: The program is freely available for download from http://genome.uiowa.edu/pubsoft/software.html
['Todd E. Scheetz', 'Nishank Trivedi', 'Chad Roberts', 'Tamara A. Kucaba', 'Brian Berger', 'Natalie L. Robinson', 'Clayton L. Birkett', 'Allen J. Gavin', "Brian O'Leary", 'Terry A. Braun', 'Maria de Fatima Bonaldo', 'John P. Robinson', 'Val C. Sheffield', 'Marcelo B. Soares', 'Thomas L. Casavant']
ESTprep: preprocessing cDNA sequence reads