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Agilent GeneSpring GX v11 5: A Powerful Bioinformatics Platform for Multi-Omic Data Analysis


Agilent GeneSpring GX v11 5: A Powerful Bioinformatics Platform for Multi-Omic Data Analysis




Agilent GeneSpring GX v11 5 is a software tool that provides powerful, accessible statistical tools for intuitive data analysis and visualization of transcriptomic, genomic, metabolomic, proteomic and NGS data within a biological context[^1^]. It is designed specifically for the needs of biologists, and offers an interactive environment that promotes investigation and enables understanding of complex biological processes[^1^].




Agilent GeneSpring GX v11 5 Win x64 Mac OS X



Agilent GeneSpring GX v11 5 allows users to quickly and reliably identify targets of interest that are both statistically and biologically meaningful. It supports data from multiple platforms, including Agilent microarrays, Agilent SureSelect target enrichment system, Agilent SurePrint G3 CGH+SNP microarrays, Agilent HaloPlex target enrichment system, Agilent MassHunter Workstation software, Agilent Mass Profiler Professional software, and other third-party platforms[^2^]. It also supports data from multiple organisms, including human, mouse, rat, zebrafish, Arabidopsis, yeast, E. coli, and more[^2^].


Some of the key features of Agilent GeneSpring GX v11 5 are[^2^]:


  • Multi-omic analysis functionality, bringing together multiple technologies for more comprehensive understanding of biological processes.



  • Simplified automated analysis with user created workflows.



  • Powerful univariate and multivariate statistical analysis made easy with preloaded workflows.



  • Intuitive visualizations for biological data analysis and interpretation.



  • Expert use thanks to extensible functionality with R and Python.



  • Integrated pathway analysis to support curated and discovery analysis.



  • Report generation capability for data tracking and results sharing with collaborators.



  • Generation of high-quality images and graphs for your publications.



  • Data storage and organization into projects and experiments with incremental back-up of data.



  • Possibility to extend license to include metabolomic and proteomic workflows.



  • Individual and shared licenses for independent researchers or core labs.



Agilent GeneSpring GX v11 5 is compatible with Windows x64 and Mac OS X operating systems. It requires a minimum of 4 GB RAM (8 GB recommended), 10 GB free disk space (20 GB recommended), Java Runtime Environment 1.6 or higher, and a screen resolution of 1024 x 768 or higher[^3^]. To install Agilent GeneSpring GX v11 5 on your computer, please follow the instructions in the installation guide[^3^].


If you are interested in learning more about Agilent GeneSpring GX v11 5 or requesting a quote, please visit the Agilent website[^1^] or contact your local Agilent representative.


Agilent GeneSpring GX v11 5 has been widely used by researchers for various applications in transcriptomic, genomic, metabolomic, proteomic and NGS data analysis. Some of the examples of applications are:


  • Study of the glycosylated secondary metabolites in tea (Camellia Sinensis L.) using UHPLC/Q-TOF/MS.



  • Accurate and comprehensive mapping of multi-omic data to biological pathways.



  • A multi-omic approach to reveal the effect of low-level gamma radiation on rice seeds.



  • Gene expression and miRNA study to understand signaling pathways.



  • Molecular subtypes in glioblastoma multiforme: integrated analysis using Agilent GeneSpring and Mass Profiler Professional multi-omics software.



  • Cellular response to ATM deletion: a multi-omics approach.



Agilent GeneSpring GX v11 5 also provides support for various data formats and platforms, including Affymetrix text and pivot files, gene-level and probe-level expression analysis, and flexible and user-friendly genome browser. It also allows users to find entities in view using Ctrl+F or Ctrl+I shortcuts.


Agilent GeneSpring GX v11 5 is a powerful bioinformatics platform that can help researchers to gain insights into complex biological phenomena using multi-omic data analysis and visualization. It is a user-friendly and versatile tool that can handle data from various sources and organisms, and provide biological contextualization and interpretation. It is a valuable resource for researchers who want to explore their data in depth and discover new knowledge. e0e6b7cb5c


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