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Ramesh Ramakrishnan

Researcher at Motorola

Publications -  5
Citations -  336

Ramesh Ramakrishnan is an academic researcher from Motorola. The author has contributed to research in topics: DNA microarray & Oligonucleotide. The author has an hindex of 5, co-authored 5 publications receiving 336 citations.

Papers
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Journal ArticleDOI

An assessment of Motorola CodeLink microarray performance for gene expression profiling applications.

TL;DR: This work demonstrates three significant advantages of the Motorola CodeLink platform: sensitivity of one copy per cell, coefficients of variation in the hybridization signals across slides and across target preparations, and specificity in distinguishing highly homologous sequences.
Journal ArticleDOI

A highly reproducible, linear, and automated sample preparation method for DNA microarrays.

TL;DR: RNA mixing experiments show a linear and quantitative amplification in probe hybridization signals for >6000 genes across the entire signal range, and the ability to discern biological and production variability through the use of different lots of commercial samples as visualized by hierarchical clustering is shown.
Book ChapterDOI

Labeling fluorescence in situ hybridization probes for RNA targets.

TL;DR: A number of detailed protocols are provided that describe both enzymatic and chemical labeling of FISH probes that can be coupled to fluorophores to form Fish probes directed toward genomic targets.
Patent

P450 single nucleotide polymorphism biochip analysis

TL;DR: In this article, the authors proposed methods and compositions for determining single nucleotide polymorphisms (SNPs) in P450 genes, and provided a unique collection of P450 SNP probes on one assay, primer sequences for specific amplification of each of the seven p450 genes and amplicon control probes to evaluate whether the intended p450 gene targets were amplified successfully.
Journal ArticleDOI

Expression profiling with oligonucleotide arrays: technologies and applications for neurobiology.

TL;DR: The oligonucleotide arrays and methods employed in this study can be used with cell lines, tissue sections, blood, and other fluids, and show high reproducibility and should allow an investigator to discern biological and regional variability from differential expression.