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Despite its global importance, the development of cassava microarray tools has not been well established.
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To support experimental transcriptome profiling, macro- and microarray tools have been constructed for the two model mycorrhizae, based either on PCR-amplified cDNAs or 70mer oligonucleotides.
Microarray tools have been recently enriched by the development of platforms for the analysis of microRNA (miRNA) expression [ 3, 4].
Moreover, the high cost of the microarrays and the compound scanning tools has also hampered the clinical application of microarray systems.
Microarray and other molecular tools have revealed in recent years how the immune response under normal and pathologic conditions is extensively regulated by sex hormones.
Separations, mass spectrometry, microarray, bioinformatics, and other tools have advanced rapidly to support the explosive growth of biomedical applications in this area.
For years, the combination of microarray and bioinformatics analytical tools have been widely used to find differentially expressed genes in hepatocellular carcinoma and to find differential diagnostic and prognostic markers [ 8– 15].
In general, microarray platforms and associated technologies and tools have improved greatly over the past decade.
The completion of genome sequences, the advent of microarray technologies, and advances in bioinformatic tools have revolutionised the ability to generate and analyse coexpression matrices.
Although several known cis-sequences that were known to be associated with specific expression profiles were correctly identified with the associated microarray data set, the tool has certain limitations.
Many enrichment analysis tools have been developed primarily to process microarray data (Huang et al., 2009).
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