Lazzari Barbara, Caprera Andrea, Cosentino Cristian, Stella Alessandra, Milanesi Luciano, Viotti Angelo
Istituto di Biologia e Biotecnologia Agraria, via Bassini 15, 20133 Milan, Italy.
BMC Bioinformatics. 2007 Mar 8;8 Suppl 1(Suppl 1):S13. doi: 10.1186/1471-2105-8-S1-S13.
The ESTuber database (http://www.itb.cnr.it/estuber) includes 3,271 Tuber borchii expressed sequence tags (EST). The dataset consists of 2,389 sequences from an in-house prepared cDNA library from truffle vegetative hyphae, and 882 sequences downloaded from GenBank and representing four libraries from white truffle mycelia and ascocarps at different developmental stages. An automated pipeline was prepared to process EST sequences using public software integrated by in-house developed Perl scripts. Data were collected in a MySQL database, which can be queried via a php-based web interface.
Sequences included in the ESTuber db were clustered and annotated against three databases: the GenBank nr database, the UniProtKB database and a third in-house prepared database of fungi genomic sequences. An algorithm was implemented to infer statistical classification among Gene Ontology categories from the ontology occurrences deduced from the annotation procedure against the UniProtKB database. Ontologies were also deduced from the annotation of more than 130,000 EST sequences from five filamentous fungi, for intra-species comparison purposes. Further analyses were performed on the ESTuber db dataset, including tandem repeats search and comparison of the putative protein dataset inferred from the EST sequences to the PROSITE database for protein patterns identification. All the analyses were performed both on the complete sequence dataset and on the contig consensus sequences generated by the EST assembly procedure.
The resulting web site is a resource of data and links related to truffle expressed genes. The Sequence Report and Contig Report pages are the web interface core structures which, together with the Text search utility and the Blast utility, allow easy access to the data stored in the database.
ESTuber数据库中包含的序列针对三个数据库进行了聚类和注释:GenBank nr数据库、UniProtKB数据库以及第三个内部制备的真菌基因组序列数据库。实施了一种算法,以便从针对UniProtKB数据库的注释过程推导的本体出现情况中推断基因本体类别之间的统计分类。还从五种丝状真菌的130,000多条EST序列的注释中推导本体,用于种内比较。对ESTuber数据库数据集进行了进一步分析,包括串联重复序列搜索,以及将从EST序列推断的假定蛋白质数据集与PROSITE数据库进行比较以识别蛋白质模式。所有分析均在完整序列数据集以及EST组装过程生成的重叠群一致序列上进行。
所得网站是与块菌表达基因相关的数据和链接资源。序列报告和重叠群报告页面是网页界面的核心结构,它们与文本搜索实用程序和Blast实用程序一起,便于访问存储在数据库中的数据。