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Integration of computational methods for structural modeling, combined with high through put methods for expression and screening of biocatalysts and algorithms for mining experimental data, have allowed the creation of highly engineered biocatalysts for the efficient synthesis of pharmaceuticals.
This chapter outlines methods for expression and purification of these essential repair factors and provides protocols for performing each of the in vitro repair assays with either the E. coli or the human excision nuclease.
Established methods for expression of IFNβ utilise either bacterial systems from which the insoluble recombinant proteins must be refolded, or mammalian expression systems in which large volumes of cell culture are required for recovery of acceptable yields.
As only relative gene expression levels can be inferred reliably, studies requiring measures of absolute gene expression are best advised to rely on different methods for expression profiling.
Since these techniques attempt to sequence the entire RNA transcript, the successful application of these methods for expression profiling depends on the presence of high quality starting total RNA.
Formerly available methods for expression profiling usually had to apply filtering criteria like signal intensity, "Present" calls and stringent cutoffs for high levels of differential expression to avoid false-positive calls.
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Targeted enriched cDNA libraries have also been shown to be an effective method for expression profiling [1], [2], [3] where massive sequencing could be used as readout with the possibility to screen thousands of samples in parallel.
With these advantages, EXPRSS Tag-seq is an excellent method for expression profiling.
Array data were analyzed with Dchip, a model-based method for expression analysis (http://www.Dchip.org).
Chip analyses were performed with Dchip, a model-based method for expression analysis (http://www.dchip.org).
Study of their potential functions clearly requires cost-efficient method for expression analysis.
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