The GeneChip Scanner 3000 scans all types of Affymetrix Chips. The dynamic range of fluorescence signal detection is 16-bits. The scanner has a solid state green laser (532 nm) and a 570 nm Long-Pass emission filter. The Fluidics 450 automated station for washing and staining GeneChips. Users can load two wash buffers and three vials to the system. Once a fluidics script is initiated, users simply load the GeneChip cartridge and vials and the system runs unattended until completion.
Ingenuity Pathway Analysis
Model, analyze, and understand the complex biological and chemical systems at the core of life science research with IPA
Advanced Analytics for Scientists
Powerful features in recent releases of QIAGEN's Ingenuity Pathway Analysis (IPA), Causal Network Analysis, BioProfiler and My Findings will help you understand causal connections between diseases, genes networks of upstream regulators and leverage your own domain expertise and proprietary curation efforts.
Quickly identify genes known to be causally relevant to a diseases or phenotype as potential drug targets or as targets of toxicity.
Find, filter and prioritize genes and compounds by their specific relationships with diseases, phenotypes, and biological functions (e.g. ‘apoptosis’).
Gain unprecedented access to the underlying Ingenuity disease and process ontology enabling precise search and filtering of the diseases and phenotypes of interest to you.
Causal Network Analysis*:
Generates plausible regulatory networks that may explain the gene expression changes in your dataset. These novel upstream regulators control small hierarchical networks that do not require all the molecules to have direct connection to the dataset.
Scoring criteria enable you to prioritize the most interesting and relevant hypothesis and quickly visualize the regulatory networks most closely associated with your disease or phenotype of interest.
Prioritize resulting hypothesis by molecule, disease, function and/or phenotype of interest. And now discover more distant connections between the causal network and the scoring criteria of interest.
Visualize network hypothesis predicted to be responsible for observed expression changes and how it connects to the scoring criteria.
See which other master regulators are upstream or downstream of the hypothesis of interest. In addition, export a data matrix of master regulators vs. their targets or master regulators vs. up to 20 analyses.
Leverage your domain expertise to customize Ingenuity content for a specific disease or therapeutic area of interest from your institution’s internal curation efforts.
Import your own proprietary molecule-to-molecule and molecule-to-(disease or function) relationships and use them throughout IPA including causal analytics.
Maintain these relationships in a secure proprietary database dedicated to your company or institution.
Partek Genomics Suite
Partek GS is a comprehensive suite of advanced statistics and interactive data visualization specifically designed to reliably extract biological signals from noisy data. Partek GS is unique in supporting all microarray and next generation sequencing technologies including DGE and gene expression, RNA-seq and alternative splicing, copy number and association, ChIP-chip, ChIP-seq, and microRNA in a single software package, allowing for analysis of multiple applications in one complete solution. See how Partek GS can work for your data.