
The Most Advanced Microsatellite Analysis Software
For microsatellite research, the 4300 System features SagaGT, the most advanced genotyping automation software available. SagaGT automates electrophoresis, lane finding, location of standards, calibration of band sizes, and allele scoring.
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Each gel run is stored with its associated project in an Oracle® database. Powerful database managers control all critical aspects of SagaGT projects in your lab including:
4300 System control, operation and user administration
Locus information management
DNA sample management
Integrated database management
Genotype management
Integrated database management not only allows complete automation, but also error checking from project initiation to completion. When new runs are analyzed, analysis parameters from previous runs are used for error checking and more comprehensive analysis. The Oracle database runs on a Windows NT® server, and SagaGT client software accesses the database during analysis.
Gel image files from each run are automatically transferred to SagaGT for efficient, unattended batch analysis. SagaGT is designed to receive image files from multiple users and begins scoring gels in the order they are received.
Fast, Easy Data Generation
Only two gels are needed for six 96-well runs in a typical 8-hour workday. The 4300 System uses short gels that are easy to handle and can be loaded up to three times. Gel preparation is simplified by KBPlus Gel Matrix (eliminates gel mixing).
SagaGT includes the Saga Application Server, which controls the 4300 instrument and scores gel images. The Saga Application Server runs on Windows® operating systems. Users interact with the Saga Application Server by using Saga Client software to review and edit scoring.
SagaGT client software is available in both a Personal Edition and a Server Edition. The Personal Edition can be run right on the Windows XP/NT/2000 server for smaller projects. For larger projects in a network environment, client software can be run on Windows® XP, 2000, NT, 98, and 95 operating systems.
SagaGT automatically finds the position of lanes and sizing standards, then calibrates the band sizes of samples. Loci and their size ranges are automatically identified by comparison to locus information in Saga's Oracle database.
SagaGT begins genotyping by identifying bands and generating allele profiles for each lane.
Saga's unique allele fingerprinting method accurately scores alleles and heterozygotes that are not well separated. Even stutter patterns of di-nucleotide repeats are accurately analyzed with no user intervention. Stored allele fingerprints for each locus are used for more accurate analysis on future runs.
[ABOVE] A composite "fingerprint" for each allele is dynamically enhanced as each new allele adds to the fingerprint definition stored in the Oracle database.
The Oracle database maintains critical information for detecting errors immediately upon analysis. Pedigree information is used to automatically mark Mendelian errors. Quality values associated with each genotype also indicate the degree of match to the allele fingerprint, allowing you to quickly edit genotypes with low quality values. Image data are immediately available when making critical decisions.
Output and Analysis
Genotypes can be exported in various text formats compatible with widely used linkage and mapping software such as Linkage, MapMaker, CRI-MAP, and others.
Reagents and Accessories