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Ingenuity pathway analysis software ipa trial version

Manufactured by Qiagen
Sourced in United States

Ingenuity Pathway Analysis Software (IPA trial version) is a bioinformatics tool that enables the analysis and interpretation of 'omics data, such as gene expression, metabolomics, and proteomics data. The software is designed to help researchers identify the biological mechanisms, pathways, and functions that are most relevant to the conditions studied.

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Lab products found in correlation

2 protocols using ingenuity pathway analysis software ipa trial version

1

Bioinformatic Analysis of Proteomic Data

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The modulated proteins identified in nanoLC-MS/MS were classified according to their Gene Ontology descriptions using information from the GO database and PANTHER (http://www.pantherdb.org/) classification systems. The predicted protein-protein interaction networks and canonical pathways were generated by Ingenuity Pathway Analysis Software (IPA trial version, Ingenuity Systems, www.ingenuity.com) (Qiagen, USA) using inputs of gene identifiers, log2 fold-changes and p-values between two-group comparisons.
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2

Sanguinarine Modulated Pathways Analyzed

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To understand pathways modulated by sanguinarine, a list of differentially expressed (> 1.8 fold) was compiled. These proteins were categorized according to their Gene ontology (GO) descriptions using information from the GO database and PANTHER (Protein ANnalysis THrough Evolutionary Relationships; http://www.pantherdb.org/) classification systems. The proteins were projected on the basis of their molecular functions, biological processes and protein classes.
The canonical pathways, disease/function pathways and protein-protein interactions were analyzed using Ingenuity Pathway Analysis Software (IPA trial version, Ingenuity Systems, http://www.ingenuity.com) (Qiagen) [36 (link)]. The predicted protein-protein interaction networks and canonical pathways were generated using inputs of gene identifiers, log2 fold-changes and p-values between control and treated group comparisons.
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