MACVECTOR CREATE REFERENCE FILE SOFTWARE
Important "computer experiments" has induced others, including X-rayĬrystallographers, NMR spectroscopists, protein engineers and evolutionaryīiologists to begin using or adapting these same software packages to helpĪnswer specific questions of their own. The success that molecular biologists have had at performing simple, yet Products (see Doolittle, 1990 and references therein). Oncongenic products and the establishment of evolutionary relatednessīetween hundreds of previously unidentified or poorly understood protein Repetitive or recurrent folding "modules", the identification of various New and important receptor families, the identification of numerous These include, just to mention a few, the identification of a number of Of extremely important and very useful "discoveries" have been made. Packages (in conjunction with their accompanying databases) that a number It is a result of the widespread implementation of these software Permit flexible sequence manipulations such as database searching,Īligning, comparing and matching - all at the touch of a button. Many of these larger and more costly programs Wisconsin's GCG suite, IBI's MacVector, and others are now widelyĪvailable for this purpose and are typically designed to run onĬomputers of all sizes and shapes including IBM PC's, Macintosh's, VAX's,Īnd SUN workstations. Programs or programming suites such as Intelligenetics' IG suite, Otherwise dissect sequence data in a useful or informative manner. Which would permit molecular biologists to quickly compare, analyze and As a consequence, a great deal of privately fundedĮffort has been directed towards the development of software (and hardware) Sequence information, it has not necessarily solved the problem of its While the development of theseĬentralized databases has certainly helped in the rapid dissemination of Sequence data is readily available, in computer readable format, to any Headache of keeping up with this information explosion. Which is being generated every single day.įortunately, through the establishment of publicly funded databanks suchĪs GENBANK, SWISS-PROT, NBRF-PIR and EMBL, most of us have been spared the Impossible to attempt to analyze or categorize this huge reservoir ofīiological information or to manage the rapid influx of new sequence data Without the aid of a computer it would be simply For example, since 1980 the number of sequences in the PIRĭatabank alone has increased from less than 2000 to almost 45,000 separateĮntries today. Protein and nucleic acid sequence data that has been generated in the lastĭecade. This is in no small part due the vast quantity of raw The past few years have seen an explosion in the use of computers in Contains a number of functions for analyzing protein sequences.
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