• Complete System for NGS, qPCR and Microarrays Analysis Launched

Laboratory Products

Complete System for NGS, qPCR and Microarrays Analysis Launched

Jul 17 2012

Integromics have announced the launch of its OmicsOffice platform for the analysis and integration of genomics data from NGS, qPCR and microarrays technologies.

OmicsOffice is the first product bundle which combines Integromic’s software solutions for the analysis of data from NGS (SeqSolveTM), qPCR (RealTime StatMiner®) and microarray experiments (Integromics Biomarker Discovery®) on the TIBCO® Spotfire® platform. With OmicsOffice, Integromics is able to offer users increased flexibility and homogeneity by providing a consistent portfolio of software systems for life sciences.

The product completes the existing ‘Click And GoTM’ automatic workflows for RNAseq, ChipSeq, qPCR and microarray based gene expression with a set of powerful modules for the ‘downstream’ integration and analysis of results from these technologies. These new modules include extended and platform-independent functional analysis (featuring gene ontology and gene set enrichment) as well as functionality for seamless integration of data from different platforms that make for example validation of array or RNAseq results with qPCR or integration of miRNA expression with their corresponding target genes easily available.

OmicsOffice tools are user-friendly, cross-platform and generic, meaning they can handle custom data and be used with results from any bioinformatics pipeline once imported into TIBCO Spotfire.

The functional analysis tool can assess if a gene ontology functional category, a KEGG Pathway or an InterPro motif is statistically over or under-represented in a set of genes of interest. This offers new biological insights into the results. For instance, scientists can identify molecular functions, biological processes or reported diseases that are correlated with the underlying experiment. Statistics are also available for gene set enrichment under this function.

A second function is comparative analysis which, using an integrative module, allows scientists to integrate and compare results from different experiments for the purpose of validation, as an example. The software also provides a specific module to correlate the expression levels of known miRNAs with those of their respective targets.


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