Project titles for:
Project titles for: 2007-09
- Comparison of software for Analysis of Molecular Marker Data
- In silico Prediction of miRNA in Rice Genome
- Web Tools for Bioinformatics
- In silico Structure Prediction of enzyme Arsenite methyltransferase
- Comparison of various software for QTL Analysis
- QSAR studies of Tuberculosis Inhibitors
- Determination of common transcription factor binding site in promoter region of abiotic stress resistance gene in rice
- SNP Mining in Rice Genome
- Protein Modelling of Betaine Aldehyde Dehydrogenase-2 in Rice
- Data Mining of Chemical Substructures for Biological Efficacy
- Plant Disease Database mined from PubMed
- Comparison of Protein Structure Prediction Methods
- Virtual High Throughput Screening for Influenza Virus Inhibitors
- Combinatorial Libraries for Screening against Tuberculosis Inhibitors
The purpose of present project is to develop a plant disease database having literature information about Wheat, Rice, Maize and Barley. For this, data was collected from PubMed, a literature database, using e-Utilities programs: E-search and E-link and was stored in a text file. All the data in a text file was stored as tab separated data to import it into a table. Database was prepared using MySQL. Database with one table was created namely, pubdb having seven fields: Crop name, Disease name, Journal name, Article name, Author name, Abstract and PMID, tab-separated data in the text file was then imported in the table pubdb. The data from the table in the database was retrieved using MySQL query language. A web interface was designed to view the query results via HTML and connectivity was done between the web interface and the database via PHP and MySQL. For searching, a crop list was provided on home page of the database, Plant Disease Literature Database. After selecting any crop, disease page was accessed related to selected crop. Bacterial, fungal and viral diseases related to wheat, rice, maize and barley was included in the database. After selecting any disease, literature information such as journal’s name, article’s title, author’s name, abstracts and PMID was accessed related to selected disease of selected crop.