beamlines data to be tools (BLAST, remote batch privacy stored and HMMER, multiple processing requirements analyzed later alignment and resource to be satisfied 2. Sample data to phylogenetic tools, be analyzed in gene callers, real time sequence feature predictors, etc.), Perl/Python wrapper scripts, Linux Cluster scheduling 36 1. ≈0.1 TB per day 1. A wide variety of -- 1. -- -- -- Catalina at present, will the existing Visualization Real-Time increase by factor astronomical data mechanisms Transient of 100 analysis tools, plus for highly Survey a large number of dimensional custom developed data tools and software parameter programs, some spaces research projects in and of themselves 2. Automated classification with machine learning tools given the very sparse and heterogeneous data, dynamically evolving in time as more data come in, with follow-up decision making reflecting limited follow-up
beamlines data to be stored and analyzed later 2. Sample data to be analyzed in real time tools (BLAST, HMMER, multiple alignment and phylogenetic tools, gene callers, sequence feature predictors, etc.), Perl/Python wrapper scripts, Linux Cluster scheduling remote batch processing resource privacy requirements to be satisfied 36 Catalina Real-Time Transient Survey 1. ≈0.1 TB per day at present, will increase by factor of 100 1. A wide variety of the existing astronomical data analysis tools, plus a large number of custom developed tools and software programs, some research projects in and of themselves 2. Automated classification with machine learning tools given the very sparse and heterogeneous data, dynamically evolving in time as more data come in, with follow-up decision making reflecting limited follow-up -- 1. Visualization mechanisms for highly dimensional data parameter spaces -- -- --