Sentence examples for microarray data generating from inspiring English sources

A final cut-off was applied to the microarray data generating lists of genes that were ≥ 2 fold (relative to the median intensity) in each lifecycle stage; these combined lists consist of 4,443 probes/3263 genes represent stage-enriched gene transcripts.

However, microRNA microarray data generated from the same amount of total RNA were not normalized in general, because we know that the amount of microRNA varies depending upon cell types, such as normal tissue vs. cancer [15].

Microarray data generated using A. thaliana subjected to NaCl stress were obtained from a previous report (Dinneny et al. 2008).

B, The CACGTGTC motif (containing the ABRE consensus) attained the highest MAMA score when microarray data generated from Arabidopsis roots subjected to NaCl stress were analyzed.

C, The CGACCGAC motif (which contains a DRE) attained the highest MAMA score when human microarray data generated from Arabidopsis roots subjected to NaCl stress were analyzed.

A, The TGGCGACA motif (containing a ZDRE) attained the highest MAMA score when microarray data generated from rice roots subjected to zinc deficiency were analyzed.

Expression profile of Arabidopsis NCX genes was analyzed using microarray data generated through AtGenExpress (https://www.arabidopsis.org/portals/expression/microarray/ATGenExpress.jsp) under different abiotic stress conditions such as, salt, drought, osmotic, cold, heat, oxidative, genotoxic, wounding and UV/B stress (Kilian et al. 2007) and various developmental stages (Schmid et al. 2005).

All microarray data generated is compliant with current MIAME standards according to Brazma et al [22].

The quality of microarray data generated in this study is excellent for identifying differentially expressed genes.

Microarray data generated in this study meet Minimum Information about Microarray Experiment (MIAME) standards and are available at ArrayExpress [43] under accession number E-TABM-700.

The miRNA and mRNA microarray data generated by this study are available in the NCBI Gene Expression Omnibus (GEO) as series accession identifier GSE21514.