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The use of the enriched in silico RT and MS/MS database was demonstrated as the application of MS-DIAL software.
The usefulness of the atlas and database was demonstrated by quantitative measurements of the development of major gray matter and white matter structures.
Finally, the usability of the database was demonstrated using an example about the regulation of Pten mRNA during adipocyte differentiation in the context of relevant pathways.
The utility of the database was demonstrated by a search for "GSTO1" the symbol for gene encoding the enzyme glutathione S-transferase omega 1 which catalyzes the monomethyl arsenate reduction, the rate-limiting step for inorganic arsenic biotransformation in humans.
The assembly quality of the unigenes in this transcriptome database was demonstrated by sequencing nine selected unigenes (Table 4), which showed that the coincidence rates between unigenes and sequencing segments were more than 98%, suggesting that the transcriptomic data were highly reliable.
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For clarification of the procedure, a target matrix for a 4-class database is demonstrated in Figure 6, where the maximum dimension is set to Dmax = 10, and the minimum number of bits needed to represent the L = 4 classes is bmin = 2.
The pathway query environment for our VFCP database is demonstrated at taiwanorchid_1 [ 63].
The undertaken procedure to create PEIMAN database is demonstrated in the 'Experimental procedures' section.
The procedure for preparing PEIMAN database is demonstrated briefly in Figure 1.
The performance of the new database is demonstrated for an E. coli cell lysate, which resulted in the accurate identification of over 50 metabolites from a single sample.
The significance of the presented database is demonstrated using three case studies, which illustrate the role of the regulatory elements and functional elements in cancer formation by CTs.
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