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| Important announcement about Vector NTI suite and Mac OS X 10.4 (Tiger). More info |
Vector NTI® Suite 7.1 for Mac
OS X (Panther)
Sequence Analysis and Molecular Biology Data Management
"Mac OS X's UNIX-based architecture provides the power and stability for working with vast amounts of data for scientific research. Vector NTI® Suite is a tremendous addition to the growing number of life science applications on Mac OS X." Ron Okamoto Apple's Vice President of Worldwide Developer Relations
Save Time and Enhance Results
- Spend your time experimenting. Multiple sequence analysis tools are integrated for you in one desktop application suite, so you can spend time experimenting, not programming. With Vector NTI® Suite, you won’t waste time manipulating data, reformatting information, or transferring sequences among software programs.
- Test plans in silico. Design and test your experimental strategies in Vector NTI® Suite first to make the most of your bench time. Take advantage of batch PCR primer design and in silico gel electrophoresis.
- Create superior graphics. You don’t need to be a computer expert to use our sophisticated, graphically rich interface to perform complex bioinformatics tasks. Plus you can quickly create and present publication quality graphics.
- Use our built-in web favorites. Rapidly find the information you need with our built-in PubMed/Entrez search tools and links to numerous bioinformatics web resources.
- Get help when you want it. Our trained experts are available to answer your questions by phone or email.
Powerful Analysis and Data Management Capability
- Find analysis power where you want it. Vector NTI® Suite has robust primer and molecule design capabilities, alignment tools that retain and link annotations, and powerful DNA sequence assembly algorithms. You won’t find a more comprehensive package on OS X.
- Simplify with one analysis environment. An array of analytical tools and a powerful local data management system are all in one place. Perform dozens of sequence analysis tasks within one analysis viewer. No more repeated opening and closing of programs on your desktop to perform critical workflows.
- Get organized. Take advantage of the work you’ve already accomplished. Readily store and manage multiple molecular biology data types in the Vector NTI® Local Database. Create, retain and reuse annotations.
- Import, export, and share with ease. Data import, export, sharing and collaboration are flexible and simple, as no proprietary file formats are created in Vector NTI® Suite.
- Keep the full record. The Vector NTI® Local Database tracks parent-descendant relationships between molecules, so you can better manage cloning projects and recombinants.
Go Beyond Desktop Sequence Analysis
- Multi-user storage solutions. Ease the work and improve the productivity of life scientists by providing a central database of public and proprietary molecular biology information that can be shared across your organization. LabShare™ for Vector NTI® provides secure, central storage of molecular biology data from multiple Vector NTI® users on both Macs and PCs.
Key Features of Vector NTI® Suite for Mac OS X
- Store and manage multiple molecular biology data types: DNA/RNAs; Proteins; Restriction Enzymes; Oligonucleotides; Gel Markers; Citations; and BLAST Results
- Analyze, create, map, edit, annotate, illustrate, share and publicize DNA and protein sequences
- Perform BLAST searches of public or private databases and save the results to the Vector NTI® Local Database
- Design primers in batch for PCR, cloning, sequencing or hybridization experiments, using annotated features and other sequence selection methods
- Design recombinant cloning strategies in silico using a built-in database of biological knowledge. Even run your gels on the computer first
- Align multiple protein or DNA sequences and then view individual annotated features within the alignment itself
- Search NCBI’s Entrez system directly from your desktop, then view and save DNAs, proteins, and citations
- Assemble and edit chromatogram data into contigs for the analysis of de novo sequence data
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