Genespring 12
GeneSpring 12.0 is a powerful software platform designed for the analysis and visualization of genomic data. It provides a comprehensive set of tools for data normalization, statistical analysis, and pathway-based interpretation of gene expression data. The software is optimized for handling large-scale datasets and offers a user-friendly interface for seamless integration with various data sources.
Lab products found in correlation
79 protocols using genespring 12
TGF-β1 Induced Transcriptome Analysis
Transcriptome Profiling with GEDI Analysis
miRNA Profiling of Radiation-Treated HCT116 Cells
Microarray Analysis of Total RNA
Microarray Analysis of miRNA Expression
Transcriptome Analysis of Microarray Data
The study was approved by the Bioethics Committee of the Medical University in Katowice, in accordance with the Declaration of Helsinki regarding medical research involving human subjects. The study and its purpose were explained to each participant or his or her legal guardian, who gave written informed consent.
RNA Microarray Analysis of PDX Tissues
Transcriptome Analysis of Biological Samples
miRNA Profiling of Bone Samples
Bovine Microarray and Upstream Regulator Analysis
[12 (link)]. Briefly, a customized bovine
oligonucleotide microarray (Agilent Technologies) was used to detect differentially
expressed genes (DEGs) in the RE using one-color microarray analysis as reported elsewhere
[13 (link)]. Fluorescently labeled (Cy3) complementary
RNA probes were hybridized, and the array was scanned using an Agilent Microarray Scanner
(Agilent Technologies). Feature Extraction ver. 9.1 software (Agilent Technologies) was
used to process the microarray images, align spots, and create raw numerical total spot
intensity data. The microarray data were imported into GeneSpring 12.0 (Agilent
Technologies), and normalization was performed (per-chip normalization). The Gene
Expression Omnibus accession numbers are as follows: platform, GPL22091; samples,
GSM2219049 to GSM2219055; and series, GSE83813 [12 (link)].
Lists of DEGs that corresponded to the raw estimated fold changes (FC; ≥2.0) were
uploaded into the Ingenuity Pathway Analysis (IPA) software (www.ingenuity.com; Ingenuity
Systems, Redwood City, CA, U.S.A.). The IPA knowledge base was used for DEG enrichment
analysis, and top upstream regulator analysis and statistical calculations were performed
to compare the two groups.
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