LION bioscience AG Launches New Software For Genome Research: SRS everEST™
"The majority of EST clustering tools do not go beyond the assembly stage. However, obtaining biological information about the EST consensus sequences and reconstructed genes is of utmost importance," said Dr. Paul Selzer, Head of Bioinformatics at Intervet Innovation GmbH. "With SRS everEST™ we can achieve this goal more quickly, because we can rely on the singular power of SRS in assigning functions to genes, as well as the robustness of state of-the-art clustering software. Within SRS everEST™, we now have a wealth of information from our own databases as well as from the public domain directly at hand."
SRS everEST™ enables efficient clustering of Expressed Sequence Tags (ESTs) as well as the assignment of biological information to the clusters. EST projects for more than 250 organisms are currently ongoing globally, with the number of projects expected to increase in the future. Through its direct link to LION's SRS data integration system, SRS everEST™ allows the unique assignment of biological information to gene sequences, while its advanced graphical representations enable intuitive and straight forward data analysis.
SRS everEST™ uses the latest EST clustering functionality provided by stackPACK™, which was developed by Electric Genetics (Capetown, South Africa). stackPACK™ is the only peer-reviewed clustering system available, and quickly constructs full- or extended-length gene sequences from fragmented data. Due to the specialized technology of stackPACK™, alternate expression or transcript variants can be identified, which may remain undetected with other EST clustering tools.
"SRS everEST™ is the first software on the market to facilitate quick assembly of ESTs and the connection of the resulting clusters with the wealth of biological data available in the public domain," said Dr. Jan Mous, Chief Scientific Officer at LION bioscience. "SRS everESTä is an important new module in our suite of products for cutting-edge genomics research. It allows researchers to keep up with the increasing fast-paced developments in the field of genomics and transcriptomics.
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