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The average expression level of probes in chimpanzee and human was calculated using data obtained from normalised chimpanzee and testis microarray data described above.
To test for the functional consequences of the microarray data described above, we then evaluated the effect of H19 suppression on anchorage-independent colony formation in soft agar after hypoxia recovery as an additional assessment of tumorigenicity in vitro.
For transcript profiling, the microarray data described by Voll et al. [ 39] were employed.
Microarray data described in this study is available at the GEO database under accession number GSE39070.
Microarray data described in this study have been deposited in the Gene Expression Omnibus database with accession number GSE56740.
The microarray data described here have been submitted to MIAMExpress (http://www.ebi.ac.uk/arrayexpress/experiments/E-MEXP-852).
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Our microarray data are in general consistent with other yeast mutant and microarray data describing the weak acid stress-responses in yeast.
The RNA-Seq data define gene structures and transcriptome, with special emphasis on exon intron boundaries; the microarray data describe gene expression of 20 time points during three major stages of the T. thermophila life cycle; the gene network data identify potential gene gene interactions of 15 049 genes.
Microarray data describing the temporal transcriptional profile for 13,196 D. melanogaster genes [ 27], and 2,883 A. gambiae genes [ 26] in response to various immune challenges were used to select genes with the following expression profiles: immunity induced, repressed and non-modified.
The identification of the CHO S100a6 promoter sequence was based on the analysis of microarray transcriptomics data described by [ 14].
The selection of miRNAs to analyze mostly relied on the evaluation of microarray profiling data described above.
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