SRS (Sequence Retrieval System)
A major challenge in life science research is handling and managing its massive and rapidly growing data repositories. These repositories can be a headache because they are often located in distant places, and are structured and ordered in different and evolving formats. They can also represent vastly different experimental designs, approaches and biological domains.
Searching, analysing, obtaining and combining these data repositories is a frequent and time consuming task.
QFAB’s solution the data integration platform
QFAB has set up mirrors for many of the major public life science data repositories, such as GenBank, UniProt, RefSeq, PDB and KEGG to name a few. Using Sequence Retrieval System (SRS) as the core of a fully automated data integration platform, these individual databanks are downloaded locally, unpacked and transformed into searchable data sets available from command line, web interface and fully automated pipelining applications.
Researchers no longer need to rely on externally managed data services. They can now:
Securely and quickly integrate public data into their own experimental analysis
Perform complex and wide reaching queries not possible on the separate systems
Focus on their own research rather than the nuts and bolts of data management
QFAB is constantly working on mechanisms to make this service tailored specifically to researcher’s needs, by implementing middleware web services making these data accessible, and extracting data sets specific to experimental analysis requirements.
Tools & Platform Case Studies