![]() Featuring tight integration with Invitrogen services, the software supports cloning "in silico" with Invitrogen's proprietary Gateway technology and can even track and order reagents necessary to perform the experiment. VECTOR NTI ADVANCEįrom Invitrogen is one of the most popular sequence-analysis packages. "The Oracle data mining (ODM) option brings BLAST to the data, rather than the other way around," says Susie Stephens, a principal product manager for life sciences at Oracle in Redwood Shores, Calif. Oracle Database 10 g, Oracle's latest release and arguably the world's most widely used database software, has BLAST searches integrated into the very heart of the database, thus undercutting the need to export ever-expanding sequence datasets into analytical servers. Says Bob Gross, president of West Lebanon, NH-based Textco Biosoftware, "Having worked on mainframes and stared at green letters on a black background, I find it particularly satisfying to be able to fly cross-country at 35,000 feet and work on a complex sequence-analysis project on my trusty laptop." Two trends currently dominate the market: open-access design to allow greater customization, and increased user friendliness (especially enhanced user interfaces that work seamlessly with other programs in the workflow).Īnother trend, tighter integration of software suites, is designed to simplify sequence analysis. As a result, software vendors are scrambling to provide added features to attract customers. Programs that do the basic groundwork, such as BLAST and other sequence-analysis algorithms, have just about reached their performance peak, according to Vivien Benazzi, director for bioinformatics R&D at Invitrogen in Carlsbad, Calif. They want to be able, for example, to run queries against several databases, design oligonucleotide primers based on the results, design a cloning experiment, and then order the primers – all using one seamless suite of programs. But today's scientists expect more from sequence-analysis software than just motif identification and sequence alignments. Analyzing protein and DNA sequences has become a daily routine in most life-science laboratories.
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