combimatrix arrays Search Results


90
CombiMatrix customized rice mirna microarray combimatrix custom array 4 × 2 k
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
Customized Rice Mirna Microarray Combimatrix Custom Array 4 × 2 K, supplied by CombiMatrix, 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/combimatrix+arrays/pmc05199133-74-19-22?v=CombiMatrix
Average 90 stars, based on 1 article reviews
customized rice mirna microarray combimatrix custom array 4 × 2 k - by Bioz Stars, 2026-06
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CombiMatrix microelectrode array
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
Microelectrode Array, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03832429-160-1-11?v=CombiMatrix
Average 90 stars, based on 1 article reviews
microelectrode array - by Bioz Stars, 2026-06
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90
CombiMatrix customarray 4x2k microarrays
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
Customarray 4x2k Microarrays, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03093991-178-2-8?v=CombiMatrix
Average 90 stars, based on 1 article reviews
customarray 4x2k microarrays - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix in house combimatrix 94 k brassica napus microarray
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
In House Combimatrix 94 K Brassica Napus Microarray, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03376030-163-6-6?v=CombiMatrix
Average 90 stars, based on 1 article reviews
in house combimatrix 94 k brassica napus microarray - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix 12k electrasense array
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
12k Electrasense Array, supplied by CombiMatrix, 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/combimatrix+arrays/pmc04890601-26-2-1?v=CombiMatrix
Average 90 stars, based on 1 article reviews
12k electrasense array - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix s. pomeroyi array
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
S. Pomeroyi Array, supplied by CombiMatrix, 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/combimatrix+arrays/pm17922758-221-20-25?v=CombiMatrix
Average 90 stars, based on 1 article reviews
s. pomeroyi array - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix human cancer 3711 electrasense 4×2 k array slides
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
Human Cancer 3711 Electrasense 4×2 K Array Slides, supplied by CombiMatrix, 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/combimatrix+arrays/pmc05058503-97-7-17?v=CombiMatrix
Average 90 stars, based on 1 article reviews
human cancer 3711 electrasense 4×2 k array slides - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix oligonucleotide microarrays
Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The <t>miRNA</t> expression data on these two groups are selected for analysis. Step 3: In the <t>microarray</t> data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.
Oligonucleotide Microarrays, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03614911-285-6-34?v=CombiMatrix
Average 90 stars, based on 1 article reviews
oligonucleotide microarrays - by Bioz Stars, 2026-06
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90
CombiMatrix array cgh
Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma
Array Cgh, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03751902-83-3-14?v=CombiMatrix
Average 90 stars, based on 1 article reviews
array cgh - by Bioz Stars, 2026-06
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90
CombiMatrix 105k molecular diagnostics array
Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma
105k Molecular Diagnostics Array, supplied by CombiMatrix, 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/combimatrix+arrays/pmc03227222-84-36-37?v=CombiMatrix
Average 90 stars, based on 1 article reviews
105k molecular diagnostics array - by Bioz Stars, 2026-06
90/100 stars
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90
CombiMatrix bac array
Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma
Bac Array, supplied by CombiMatrix, 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/combimatrix+arrays/pm19448591-41-21-12?v=CombiMatrix
Average 90 stars, based on 1 article reviews
bac array - by Bioz Stars, 2026-06
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CombiMatrix hemescans bacterial artificial chromosome (bac) array
Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma
Hemescans Bacterial Artificial Chromosome (Bac) Array, supplied by CombiMatrix, 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/combimatrix+arrays/pm20729813-39-23-31?v=CombiMatrix
Average 90 stars, based on 1 article reviews
hemescans bacterial artificial chromosome (bac) array - by Bioz Stars, 2026-06
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Image Search Results


Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The miRNA expression data on these two groups are selected for analysis. Step 3: In the microarray data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Architecture of the RiceATM platform. Step 1: Eight agronomic traits are represented in the RiceATM web server. The user can select an interesting trait and identify the associated miRNAs. Step 2: After selecting the agronomic trait, the user must fill in the ‘High cumulative percentage’ and “Low cumulative percentage” fields to identify the high- and low-quantity groups. The miRNA expression data on these two groups are selected for analysis. Step 3: In the microarray data pretreatment step, the user can select quantile normalization and data adjustment to normalize the microarray data. Step 4: To identify the miRNAs associated with the agronomic trait in the two groups of cultivars, RiceATM supports Student’s t -tests or ANOVAs. Step 5: Finally, the user can select the miRanda or psRNATarget algorithm to predict the target genes of the associated miRNAs.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Expressing, Microarray

Example of browsing the RiceATM platform. (A) Eight agronomic traits affecting yield are represented in RiceATM, including the heading date, plant height, panicle number, panicle length, panicle weight, spikelet number, seed-set %, and 1000-seed weight. Here, we select ‘Heading Date’ as a demonstration. (B) RiceATM includes 187 rice cultivars: 155 japonica and 32 indica. The user can select total (japonica plus indica), japonica or indica cultivars to analyse by checking the ‘Variety’ box. In this example, we select the k-means clustering algorithm to select the high and low heading date groups for the total cultivars. (C) In the data pretreatment step, we use quantile normalization and then clip the minimum value at 800 to normalize the microarray data. (D) Differentially expressed miRNAs are evaluated by ANOVA and then subjected to target gene prediction by the psRNATarget algorithm. Thus, RiceATM shows the regulatory miRNA network. Large orange circles, miRNAs with high expression in the high-quantity group; large green circles, miRNAs with high expression in the low-quantity group; small blue circles, targeted mRNAs.

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Example of browsing the RiceATM platform. (A) Eight agronomic traits affecting yield are represented in RiceATM, including the heading date, plant height, panicle number, panicle length, panicle weight, spikelet number, seed-set %, and 1000-seed weight. Here, we select ‘Heading Date’ as a demonstration. (B) RiceATM includes 187 rice cultivars: 155 japonica and 32 indica. The user can select total (japonica plus indica), japonica or indica cultivars to analyse by checking the ‘Variety’ box. In this example, we select the k-means clustering algorithm to select the high and low heading date groups for the total cultivars. (C) In the data pretreatment step, we use quantile normalization and then clip the minimum value at 800 to normalize the microarray data. (D) Differentially expressed miRNAs are evaluated by ANOVA and then subjected to target gene prediction by the psRNATarget algorithm. Thus, RiceATM shows the regulatory miRNA network. Large orange circles, miRNAs with high expression in the high-quantity group; large green circles, miRNAs with high expression in the low-quantity group; small blue circles, targeted mRNAs.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Microarray, Expressing

Expression trend of candidate miRNAs in the early and late heading date groups of rice cultivars. Four miRNA derived from RiceATM analysis and associated with heading date were subjected to a real-time PCR assay. Early, early heading date group, n = 4; Late, late heading date group, n = 4. Actin served as the internal control. (A) miR172d-3p; (B) miR818c; (C) miR820c and (D) miR399f. * P < 0.05, compared with the early group.

Journal: Database: The Journal of Biological Databases and Curation

Article Title: RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression

doi: 10.1093/database/baw151

Figure Lengend Snippet: Expression trend of candidate miRNAs in the early and late heading date groups of rice cultivars. Four miRNA derived from RiceATM analysis and associated with heading date were subjected to a real-time PCR assay. Early, early heading date group, n = 4; Late, late heading date group, n = 4. Actin served as the internal control. (A) miR172d-3p; (B) miR818c; (C) miR820c and (D) miR399f. * P < 0.05, compared with the early group.

Article Snippet: The mature miRNA sequences and six control probes (four positive and two negative) were used to produce the customized rice miRNA microarray (Combimatrix Custom Array 4 × 2 K, CA, USA).

Techniques: Expressing, Derivative Assay, Real-time Polymerase Chain Reaction, Control

Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma

Journal: Orphanet Journal of Rare Diseases

Article Title: Comprehensive characterization of malignant phyllodes tumor by whole genomic and proteomic analysis: biological implications for targeted therapy opportunities

doi: 10.1186/1750-1172-8-112

Figure Lengend Snippet: Summary of molecular profiling analyses from various CLIA certified methods in a patient with malignant phyllodes sarcoma

Article Snippet: Whole-genome array-based comparative genomic hybridization (array CGH) was performed by using the CLIA-certified DNAarrayTM (CombiMatrix Diagnostics, Irvine, CA).

Techniques: Sequencing, Hybridization, Immunohistochemistry, Staining

Imaging studies, histopathology and FISH studies: UA and B: CT of the chest showing metastatic masses in the lung. C Hematoxylin and Eosin stained section of the tumor from the right mastectomy shows a malignant sarcoma/malignant phyllodes tumor that has high stromal cellularity and a mitotic index of 11 per 10 high power fields. D HER - 2 / neu by Fluorescence in Situ Hybridization (FISH) HER-2 gene amplification was assessed utilizing the PathVysion assay (Vysis Corp., Downers Grove, Illinois). The identification probes for the HER-2 (SpectrumOrange) and alpha satellite DNA sequence at the centromeric region of chromosome 17 (SpectrumGreen) were hybridized according to the manufacturer’s guidelines. At least twenty non-overlapping nuclei containing at least one orange and one green signal were enumerated. The ratio of orange signals (HER-2 gene) to green signals (chromosome 17) was calculated. A ratio greater than or equal to 2.0 is considered as amplified based on the FDA approval in this kit. The CAP HER-2 consensus conference 2002 suggested that a ratio of 1.8-2.2 be considered as borderline.

Journal: Orphanet Journal of Rare Diseases

Article Title: Comprehensive characterization of malignant phyllodes tumor by whole genomic and proteomic analysis: biological implications for targeted therapy opportunities

doi: 10.1186/1750-1172-8-112

Figure Lengend Snippet: Imaging studies, histopathology and FISH studies: UA and B: CT of the chest showing metastatic masses in the lung. C Hematoxylin and Eosin stained section of the tumor from the right mastectomy shows a malignant sarcoma/malignant phyllodes tumor that has high stromal cellularity and a mitotic index of 11 per 10 high power fields. D HER - 2 / neu by Fluorescence in Situ Hybridization (FISH) HER-2 gene amplification was assessed utilizing the PathVysion assay (Vysis Corp., Downers Grove, Illinois). The identification probes for the HER-2 (SpectrumOrange) and alpha satellite DNA sequence at the centromeric region of chromosome 17 (SpectrumGreen) were hybridized according to the manufacturer’s guidelines. At least twenty non-overlapping nuclei containing at least one orange and one green signal were enumerated. The ratio of orange signals (HER-2 gene) to green signals (chromosome 17) was calculated. A ratio greater than or equal to 2.0 is considered as amplified based on the FDA approval in this kit. The CAP HER-2 consensus conference 2002 suggested that a ratio of 1.8-2.2 be considered as borderline.

Article Snippet: Whole-genome array-based comparative genomic hybridization (array CGH) was performed by using the CLIA-certified DNAarrayTM (CombiMatrix Diagnostics, Irvine, CA).

Techniques: Imaging, Histopathology, Staining, Fluorescence, In Situ Hybridization, Amplification, Sequencing