Tracker was developed and maintained by KU bioinformatics facility. This is a system for monitoring the following: protein searches using HMMER and Blast-P, nucleotide searches using Blast-N, and literature searches of the PubMed databases. Your searches will be run against new information to keep you up to date. If there are results on your searches, you will be notified by email and will then be able to access results and link to more information on the NCBI site. You will be able to monitor, edit, or delete your searches on this website using the buttons on the lefthand menu. Tracker is available for download. Click here for more detail. A paper on the system was published in Bioinformatics Journal recently (Bioinformatics 2005 21(3):388-389).
The Target Protein Database is an attempt to catalog in a convenient, searchable fashion the publicly available information about the identities of mammalian proteins that become covalently adducted by chemically-reactive metabolites of xenobiotic agents.
DB-PABP is an attempt to document the publicly available experimentally determined PABPs. The purpose of the database is to provide life scientists who are interested in PA/PABP interactions with a comprehensive data repository, as well as computer scientists with a publicly available dataset to perform knowledge discovery and datamining studies. The database is manually curated. It uses protein annotations from NCBI protein database and literature information is retrieved from PubMed. Whenever applicable, links to NCBI protein database and PubMed are provided so users may access additional information available in these public databases.
Pro-LIMS was developed to facilitate Mass Spectrometry data manegement/analysis/validation for the proteomics efforts at the University of Kansas. It is a joint project of the Applied Bioinformatics Lab, K-INBRE Bioinformatics Core (BCF) and the Analytical Proteomics Laboratory (APL).
The KU-HTS Data Management System was developed to facilitate high throughput screening data mangement/analysis for the HTS efforts at the University of Kansas. The system consists of a web-browser based interface written in PHP, a MySQL database as the backend.
Virtual Freezer, a web accessible relational database, was designed to facilitate tracking and sharing animal models and tissues for the Program Project on Aging.
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