Genologics and SAS have announced plans to integrate the Geneus lab and data management solution with the JMP Genomics statistical discovery application from SAS.
The combination will aim to provide a system for managing and analysing large genomic data sets.
Geneus manages sample information and user workflows, and summarises raw data from vast genomic data sets.
JMP Genomics then provides interactive downstream analysis to uncover meaningful patterns in high-throughput genetics, expression microarray and proteomics data.
This integration is designed to let research organisations maximise return on investment by generating high-quality genomic data sets and applying specialised statistical analysis tools to identify crucial bits of information hidden in long lists of candidate genes or biomarkers.
'This solution can help bridge the gap between raw sequence reads and downstream statistical analysis to accelerate scientific discovery,' said Shannon Conners, PhD, JMP Genomics product manager.
JMP Genomics links advanced statistics with graphics to provide a complete picture of research results, whether the data comes from traditional microarray studies or from summarised results produced by next-generation technologies.
Geneus is a configurable lab and data management system that supports workflows across multiple technology platforms including next-generation sequencing instruments.
Geneus is also part of a broader suite of informatics solutions for research labs, which enables integrated data analysis for experiments across multiple sciences and systems biology initiatives.
