Knowledge Management Services
GGA Software Services' knowledge management team at its facility in St. Petersburg, Russia has domain expertise in a wide variety of scientific fields, to help your organization meet all of its knowledge needs.
These highly educated professionals – 95 percent with post-graduate degrees and 50 percent with PhD degrees – are able to apply their scientific knowledge to deliver data analysis, data mining, and data visualization solutions for clients.
GGA’s knowledge management team members have completed projects for clients in a wide range of scientific and technical fields. GGA also has access to additional content experts through its close ties with leading universities in St. Petersburg and other major cities in Russia.
GGA's knowledge management team can fulfill all of your scientific content needs
- Data curation and abstracting
- Data mining and analysis
- Data digitization and imaging
- Ontology and thesauri development
- Data conversion and document processing
- Data migration
- Chemical structure processing and evaluation
- Technical editing and translation
- Content-processing tool development and evaluation
- Database design and management
- Patents, competitive intelligence, therapeutic areas, drug safety, gene expression, and more
GGA has broad scientific domain expertise to supplement your scientific knowledge base
- Organic Chemistry
- Analytical Chemistry
- Material Sciences
- Molecular Biology
- Systems Biology
- High-Throughput Screening
- High-Content Screening
- Data Visualization
- Applied Mathematics
- Drug Discovery
- Clinical Development
- Drug Safety
GGA has created many complex scientific databases for its clients
- Gene expression database containing information on tissue-specific and developmental aspects of the expression of selected genes
- Database that contains all known phosphorylation sites in mammalian proteins and that is designed to systematize and centralize the published data on phosphorylation sites
- Federated data repository consisting of internal assay-related data and external content databases
- Toxicological information system for over 200,000 compounds, including computational analysis tools for predicting the toxic effects of compounds
- Database that provides near real-time data on drug activity from late-phase preclinical development to post-launch marketing studies for more than 7,000 drugs from over 600 companies
- Database presenting diverse information on the toxicity and adverse effects of drugs marketed in the U.S. and Europe
Examples of GGA's Award-Winning Knowledge Management Solutions
Challenge: Client requested GGA to create a database that presents in normalized, easy-to-analyze uniform table format the diverse published information regarding somatic mutations in human cancers.
Solution: GGA’s software team designed and developed the database management system for the product, and GGA’s knowledge management team manually curated the relevant full-text papers that were selected from the 15 top-ranking life science and cancer journals using a specific search algorithm. The curators converted the heterogeneous information in the papers into a uniform, quantitative, table-like format.
Challenge: Client requested GGA to develop a customized ontology to specify a disease area.
Solution: GGA’s knowledge management team developed classes for the disease area, including subjects, substances, genes, effects, functions, treatments, side effects, diseases, and tissues. GGA identified relevant classes for each identified entity and defined the relevant relationships between the classes. GGA’s software team developed annotation rules and developed and implemented software tools supporting manual annotation. GGA annotated over 1,000 articles to substantiate the framework and created a prototype to execute relationship-based queries.
Challenge: The client required the development of a web-based and desktop information system for glass research and development.
Solution: GGA developed a glass materials database product that has become the world standard for glass information. This development effort involved GGA's software engineers, algorithm developers, and content developers in a joint effort to create the database system, implement and refine glass property algorithms, and analyze the technical literature and extract appropriate information for inclusion in the database.