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Microarray approaches provide a wide overwiev of gene expression in experimental settings, which may yield biologically valid biomarkers for disease diagnostics, prognosis, and follow-up.
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The use of both bioinformatics and microarray approaches provided information on the molecular mechanisms through which OET is driven in the hen.
For example, the microarray approach provides a rapid overview of gene expression in a particular sample at a given time.
Moreover, the microarray approach provided allowed the discovery of a set of new potential chicken mature oocyte and chicken granulosa cell markers for future studies.
The successful identification of the metal binding protein, MT, is highlighted, not only due to its critical biological functions, but also because the blind microarray approach provided advantages over cloning methods that require significant sequence similarity to isolate genes.
While genome sequencing and microarray approaches have provided important insight into the biology of prokaryotic organisms, including a number of human bacterial pathogens, identification of all genes and their transcriptional patterns remains a major challenge in all areas of biology.
A microarray approach cannot provide exact information on 5'- and 3'-ends of sRNAs and is limited by the genome coverage with oligonucleotide probes.
These approaches provided useful tools for periodicity analysis in microarray time series data and have led to the identification of hundreds of cell cycle regulated genes.
Compared to SSH or previous SSH in conjunction with microarray approaches, this modified approach provided us with three additional advantages: 1) easy inspection of the subtraction efficiency, 2) avoidance of tremendous sequencing work for gene identification, 3) high sensitivity for identifying the low-expression, differentially expressed genes.
Recently developed RNA-seq transcriptome profiling approaches, provides higher resolution and capability of detecting different isoforms of a transcript compared to the microarray based methods [ 54].
Moreover, relative to standard microarray approaches, RNA seq and tiling arrays provide crude measurement and identification of transcripts, without any a priori on which region of the genome is transcribed [ 24, 25].
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