Rosetta Syllego System

Category Genomics>Genetic Data Analysis/Tools

Abstract The Rosetta Syllego System is a genetic data management and analysis system designed to advance your whole genome association, linkage, and expression Quantitative Trait Locus (eQTL) studies. Designed for biologists, statistical geneticists, and investigators responsible for generating genotyping data, the Syllego system provides you with an easy-to-use project workspace so that you can organize, analyze, and share your genotype and phenotype data along with your analysis results. The Syllego system enables you to better plan and conduct studies, perform data quality control (QC), catalog study data, work in the statistical environment of your choice, and integrate relevant genotypic and phenotypic study data.

Products key features/capabilities include:

Maximize the alignment between your scientific question, genotyping technologies, and data sources -- The Syllego system provides you with tools to better plan and execute genetic studies across a variety of genotyping platforms while taking advantage of multiple reference data sources. With the Syllego system, you can:

1) Define the project organization of your study data, assay data, and analysis results.

2) Manage and analyze single nucleotide polymorphism (SNP) genotyping data generated from multiple genotyping assay technologies, including Affymetrix and Illumina.

3) Gather and manage genotypic and phenotypic data from public resources such as the Coriell Institute for Medical Research's Q application or from your private systems.

4) Select genes, markers (SNPs), and individuals through a user- friendly interface.

5) Interface with genotyping service providers such as Affymetrix, Illumina, Perlegen, and others.

6) Publish and share your genotype data, analysis results, and methods with collaborators.

Generate high quality data -- The Syllego system allows you to verify study data quality with user-defined statistical cuts and data quality control checks to generate high-quality analysis datasets. Data quality control results can be used to merge or subset relevant study data into analysis datasets targeted for further analysis. With the Syllego system, you can:

1) Verify and correct SNP marker, individual (sample), and genotype data.

2) Execute semi-automated study data quality control checks.

3) Generate data quality control reports and activity logs.

4) Integrate your quality control analyses into your analysis data set preparation.

5) Merge and subset data for comparison and validation against existing data sets.

Use your analysis methods of choice -- With the Syllego system analysis tool suite, you can select and combine your relevant genotype and phenotype analysis data to interface with the analysis environment of your choice and then visualize your analysis results. Using the Syllego system, you can:

1) Add additional phenotype data to individuals (samples) stored in the system.

2) Generate analysis templates for shared analysis methodologies.

3) Integrate common statistical tools and genetic packages, such as R, PLINK, and Haploview applications.

4) Link, script, and schedule your analysis jobs.

5) View your analysis results directly through many integrated Syllego visualization tools.

6) Use the genome viewer to determine the genomic context of your analysis results.

Capitalize the return on your genetic studies -- The Syllego system gives you the tools to Not only analyze your current study but to also catalog your study data with your analysis results for use with future studies and collaboration efforts. Managing thousands of samples for whole genome scans, maintaining and tracking genome build and marker annotation, and archiving and retrieving relevant study data is much easier with the Syllego system. Using the Syllego system, you can:

1) Store your study data in a common data repository and assign access controls.

2) Connect and merge public and private genetic data and results.

3) Configure links to the Web resources of your choice.

4) Manage multiple genome assemblies for Human, Mouse, and other species.

5) Report and publish analysis results and study outcome to collaborators.

6) Automate data loading and merging of public data sets such as the haplotype map of the human genome (HapMap), genotype data from source providers, and in-house assay results.

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Hardware requirements.

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G6G Abstract Number 20105

G6G Manufacturer Number 102303