Brassica Gene Expression Microarrays
RUO
Brassica genomes are large and complex. This Gene Expression Microarray provides transcriptome-wide coverage of Brassica napus, enabling the study of gene expression profiling at the global level. Enhancing understanding of biology and gene functions offers unique insight into this economically important crop.
Perform profiling to study global patterns of gene expression and advance your functional research using Agilent microarrays. Oligonucleotide quality, probe design and protocol flexibility allow us to obtain wide dynamic range, and unmatched sensitivity and reproducibility. Learn more.
Perform profiling to study global patterns of gene expression and advance your functional research using Agilent microarrays. Oligonucleotide quality, probe design and protocol flexibility allow us to obtain wide dynamic range, and unmatched sensitivity and reproducibility. Learn more.
For Research Use Only. Not for use in diagnostic procedures.
- Plant Microarrays
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This product is not available for purchase by the general public.
Product Details
Features
- 43,803 brassica probes represented
- Formatted as 4x44 K high-definition microarrays on barcoded, 1' x 3' (25 mm x 75 mm) glass slides
- Widest dynamic range of over 5 logs ensures detection of low and high expressors to accurately represent the range of expression levels
- Consistent feature (spot) quality from microarray-to-microarray yielding results you can trust
- Contents sourced from: RefSeq (Release 31), Sep 10, 2008, UniGene (Build 17), Aug 4, 2008, TIGR Plant Transcript Assemblies (Release 5), Jun 1, 2007, TIGR Gene Indices (Release 3.1), May 31, 2008
- Access probe sequence and annotation information easily through Agilents eArray website
- To order, specify PN G2519F and Array ID corresponding to the desired array Design ID 022520
Literature
- Application Notes
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ERCC Spike-In Control Transcripts Provides Confidence in Agilent Microarray and RNA-Seq Gene Expression Data
Data generated by the Sequencing Quality Control Consortium (SEQC) has shown that RNA-Seq and microarray-based gene expression models are comparable in clinical endpoint prediction performance.
- Application Notes
- English
- 21 Feb 2020
- 6.21 MB
Ultra-low Input Total RNA Gene Expression Analysis Using the Agilent SurePrint G3 Human Gene Expression Microarray
In this study, we modified the existing gene expression microarray protocol to allow processing of samples starting from 250 pg of total RNA.
- Application Notes
- English
- 20 Nov 2019
- 1.72 MB
Support
- User Manuals
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One-Color Microarray-Based Gene Expression Analysis v.6.9.1
One-Color Microarray-Based Gene Expression Analysis 6.9.1
- User Manuals
- English
- 31 Mar 2016
- 5.07 MB
Two-Color Microarray-Based Gene Expression Analysis v.6.9.1
Two-Color Gene Expression Protocol 6.9
- User Manuals
- English
- 17 Dec 2015
- 1.71 MB
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