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The capabilities of microarray technology are further expanding with the development of label-free optical techniques that monitor the real-time dynamics of biomolecular interactions.
In epilepsy, the clinical implications of the microarray technology are illustrated in a few recent publications in the literature [ 5- 9].
The specific technical sources underlying the suboptimal quality of the microarray technology are unclear; their identification could have a significant impact on genomic research.
Given that the processes collectively forming microarray technology are either biochemical or physical in nature, estimating the effects of various factors on gene expression signals quantitatively seems to be in principle possible.
RNA-seq technologies have several advantages over microarrays, including less noise (the technical biases inherent in microarray technology are not present in RNA-seq experiments) [ 1], the possibility of detecting alternative splicing isoforms [ 2, 3], and the power to detect novel genes, gene promoters, isoforms, and allele-specific expression [ 4].
T. rubrum had been shortlisted for sequencing by the Fungal Genome Initiative (FGD white paper, 2004), yet expressed sequence tag (EST -based mRNA transcription profiling and microarray tEST -basedare used extensively to characterize gene functions and discover functionally related genes needed for developmRNAal and behavioural processes [ 11, 12].
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RNA microarray technology was used for genome-wide expression analysis.
Microarray technology is a powerful approach for genomics research.
Microarray: Microarray technology is based on hybridization between the target DNA and probe DNA designed with known sequences.
Microarray technology was used to comprehensively analyze gene expression during human labor in the myometrium.
When microarray technology was initially applied, individual gene expression related to abiotic stress was more or less of interest.
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