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Qlucore Inc omics explorer 3.0 software
Omics Explorer 3.0 Software, supplied by Qlucore Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/omics+explorer+3%2E0/omics+explorer/pmc10730988-76-5-4
Average 90 stars, based on 1 article reviews
omics explorer 3.0 software - by Bioz Stars, 2026-09
90/100 stars

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Related Articles

Gene Expression:

Article Title: CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9 -Driven Acute Myeloid Leukemia
Article Snippet: Qlucore omics Explorer 3.0 , Qlucore , N/A.

Article Title: Interleukin 4 promotes phagocytosis of murine leukemia cells counteracted by CD47 upregulation
Article Snippet: For statistical analysis, differential gene expression, and visualization of the RNA sequencing data, we used Qlucore Omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Bioinformatics analysis of the diversity of gut microbiota and different microbiota on insulin resistance in diabetes mellitus patients
Article Snippet: The Qlucore Omics Explorer 3.0 ( http://www.qlucore.com/ ) was used for the analysis of gene chips, Mi-RNA chips, and protein chips, and the software was relatively easy to operate.

Article Title: Integrated analysis of gait parameters and gene expression profiles in a murine model of subarachnoid hemorrhage.
Article Snippet: Funding information SDIVF R&D Centre; Chinese University of Hong Kong Direct Grant for Research, Grant/ Award Number: MD16622 Abstract Gait analysis has been widely used to examine the behavioral presentation of numerous neurological disorders.. Thorough murine model evaluation of the subarachnoid hemorrhage (SAH)-associated gait deficits is missing.. This study measures gait deficits using a clinically relevant murine model of SAH to examine associations between gait variability and SAH-associated gene expressions.

Article Title: Plasma proteomic profiling of bacterial cold water disease-resistant and -susceptible rainbow trout lines and biomarker discovery
Article Snippet: Hierarchical clustering of both samples and variables was performed using Qlucore Omics Explorer 3.0 (Lund, Sweden).

Article Title: CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9-Driven Acute Myeloid Leukemia.
Article Snippet: Differential gene expression analysis and visualization of the transcript data were performed using Qlucore omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Combined GLUT1 and OXPHOS inhibition eliminates acute myeloid leukemia cells by restraining their metabolic plasticity
Article Snippet: Statistical analysis, differential gene expression, and visualization of the transcriptional data were performed using Qlucore Omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Inhibition of NGLY1 for the treatment of cancer
Article Snippet: Subsequently, the Qlucore Omics Explorer 3.0 was used to perform multivariate statistical analysis, unsupervised clustering and supervised clustering on the normalized array data to identify differentially expressed genes (P<0.01, fold change ≥2.0, prioritization of candidate genes according to their magnitudes of fold change) and examine the similarity of expression profiles among different samples (FIG. 10A).

RNA Sequencing:

Article Title: CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9 -Driven Acute Myeloid Leukemia
Article Snippet: Qlucore omics Explorer 3.0 , Qlucore , N/A.

Article Title: Interleukin 4 promotes phagocytosis of murine leukemia cells counteracted by CD47 upregulation
Article Snippet: For statistical analysis, differential gene expression, and visualization of the RNA sequencing data, we used Qlucore Omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Bioinformatics analysis of the diversity of gut microbiota and different microbiota on insulin resistance in diabetes mellitus patients
Article Snippet: The Qlucore Omics Explorer 3.0 ( http://www.qlucore.com/ ) was used for the analysis of gene chips, Mi-RNA chips, and protein chips, and the software was relatively easy to operate.

Article Title: Integrated analysis of gait parameters and gene expression profiles in a murine model of subarachnoid hemorrhage.
Article Snippet: Funding information SDIVF R&D Centre; Chinese University of Hong Kong Direct Grant for Research, Grant/ Award Number: MD16622 Abstract Gait analysis has been widely used to examine the behavioral presentation of numerous neurological disorders.. Thorough murine model evaluation of the subarachnoid hemorrhage (SAH)-associated gait deficits is missing.. This study measures gait deficits using a clinically relevant murine model of SAH to examine associations between gait variability and SAH-associated gene expressions.

Article Title: Plasma proteomic profiling of bacterial cold water disease-resistant and -susceptible rainbow trout lines and biomarker discovery
Article Snippet: Hierarchical clustering of both samples and variables was performed using Qlucore Omics Explorer 3.0 (Lund, Sweden).

Article Title: CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9-Driven Acute Myeloid Leukemia.
Article Snippet: Differential gene expression analysis and visualization of the transcript data were performed using Qlucore omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Combined GLUT1 and OXPHOS inhibition eliminates acute myeloid leukemia cells by restraining their metabolic plasticity
Article Snippet: Statistical analysis, differential gene expression, and visualization of the transcriptional data were performed using Qlucore Omics Explorer 3.0 (Qlucore, Lund, Sweden).

Article Title: Inhibition of NGLY1 for the treatment of cancer
Article Snippet: Subsequently, the Qlucore Omics Explorer 3.0 was used to perform multivariate statistical analysis, unsupervised clustering and supervised clustering on the normalized array data to identify differentially expressed genes (P<0.01, fold change ≥2.0, prioritization of candidate genes according to their magnitudes of fold change) and examine the similarity of expression profiles among different samples (FIG. 10A).



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