From Genome to Life:

BARKER Gary

Institute of Arable Crop Research, Crop Performance Improvement, Wild Country Land Long Ashton, Bristol BS41 9AF, United Kingdom

title: Automated high-though-put sequence processing and annotation for the production of a unigene set in wheat

As part of the UK cereals investigating gene function program we are currently sequencing around 20,000 Expressed Sequence Tags (ESTs) from developmental stage and stress-response libraries, with the aim of producing a unigene set for microarraying. Processing this volume of sequence data requires a largely automated sequence clean-up archival and annotation system, plus the ability to perform large scale clustering and contig building to produce a final unigene set. The EST sequence resource is most useful if sequences are publicly available on the web, in a key-word and BLAST searchable format. The on-line data is given further added value with the addition of electronic Northern analysis and real time Single Nucleotide Polymorphism (SNP) detection between query and database sequences. The development of systems under Linux and Windows to provide these functions will be discussed.