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1.
Nucleic Acids Res ; 30(1): 121-4, 2002 Jan 01.
Article in English | MEDLINE | ID: mdl-11752272

ABSTRACT

We have created a federated database for genome studies of Magnaporthe grisea, the causal agent of rice blast disease, by integrating end sequence data from BAC clones, genetic marker data and BAC contig assembly data. A library of 9216 BAC clones providing >25-fold coverage of the entire genome was end sequenced and fingerprinted by HindIII digestion. The Image/FPC software package was then used to generate an assembly of 188 contigs covering >95% of the genome. The database contains the results of this assembly integrated with hybridization data of genetic markers to the BAC library. AceDB was used for the core database engine and a MySQL relational database, populated with numerical representations of BAC clones within FPC contigs, was used to create appropriately scaled images. The database is being used to facilitate sequencing efforts. The database also allows researchers mapping known genes or other sequences of interest, rapid and easy access to the fundamental organization of the M.grisea genome. This database, MagnaportheDB, can be accessed on the web at http://www.cals.ncsu.edu/fungal_genomics/mgdatabase/int.htm.


Subject(s)
Chromosomes, Fungal , Databases, Genetic , Genome, Fungal , Magnaporthe/genetics , Oryza/microbiology , Base Sequence , Chromosome Mapping , Chromosomes, Artificial, Bacterial , Database Management Systems , Forecasting , Genetic Markers , Genomic Library , Information Storage and Retrieval , Internet , Plant Diseases
2.
BMC Bioinformatics ; 6: 147, 2005 Jun 15.
Article in English | MEDLINE | ID: mdl-15958161

ABSTRACT

BACKGROUND: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to individual investigators. However, there are few options available which provide a free and user-friendly solution to the BLAST result storage and data mining needs of biologists. RESULTS: Here we describe NuclearBLAST, a batch BLAST analysis, storage and management system designed for the biologist. It is a wrapper for NCBI BLAST which provides a user-friendly web interface which includes a request wizard and the ability to view and mine the results. All BLAST results are stored in a MySQL database which allows for more advanced data-mining through supplied command-line utilities or direct database access. NuclearBLAST can be installed on a single machine or clustered amongst a number of machines to improve analysis throughput. NuclearBLAST provides a platform which eases data-mining of multiple BLAST results. With the supplied scripts, the program can export data into a spreadsheet-friendly format, automatically assign Gene Ontology terms to sequences and provide bi-directional best hits between two datasets. Users with SQL experience can use the database to ask even more complex questions and extract any subset of data they require. CONCLUSION: This tool provides a user-friendly interface for requesting, viewing and mining of BLAST results which makes the management and data-mining of large sets of BLAST analyses tractable to biologists.


Subject(s)
Computational Biology/methods , Software , Algorithms , Chromosomes, Artificial, Bacterial , Cluster Analysis , Computer Graphics , Database Management Systems , Databases, Genetic , Expressed Sequence Tags , Gene Expression Profiling , Information Storage and Retrieval , Internet , Programming Languages , Sequence Analysis , User-Computer Interface
3.
J Biol Chem ; 278(34): 31988-97, 2003 Aug 22.
Article in English | MEDLINE | ID: mdl-12788920

ABSTRACT

The filamentous fungus Trichoderma reesei produces and secretes profuse quantities of enzymes that act synergistically to degrade cellulase and related biomass components. We partially sequenced over 5100 random T. reesei cDNA clones. Among the sequences whose predicted gene products had significant similarity to known proteins, 12 were identified that encode previously unknown enzymes that likely function in biomass degradation. Microarrays were used to query the expression levels of each of the sequences under different conditions known to induce cellulolytic enzyme synthesis. Most of the genes encoding known and putative biomass-degrading enzymes were transcriptionally co-regulated. Moreover, despite the fact that several of these enzymes are not thought to degrade cellulase directly, they were coordinately overexpressed in a cellulase overproducing strain. A variety of additional sequences whose function could not be ascribed using the limited sequence available displayed analogous behavior and may also play a role in biomass degradation or in the synthesis of biomass-degrading enzymes. Sequences exhibiting additional regulatory patterns were observed that might reflect roles in regulation of cellulase biosynthesis. However, genes whose products are involved in protein processing and secretion were not highly regulated during cellulase induction.


Subject(s)
Biomass , Enzymes/genetics , Gene Expression Regulation, Enzymologic , Gene Expression Regulation, Fungal , Transcription, Genetic , Trichoderma/enzymology , DNA, Complementary , Enzymes/metabolism , Expressed Sequence Tags , Hydrolysis , Molecular Sequence Data
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