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Instead, we based our search on well-established search strategies with proven merit.
We based our search on three parameters namely: (1) motif abundance; the enrichment of the co-occurring motif in the ChIP-seq peaks, (2) motif ubiquity; the presence of the co-occurring motif across peaks from different TF ChIP-seq experiments and the (3) uniqueness or dis-similarity the targeted TF's canonical motif(s) using similarity scores with p-values < 0.05.
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Because of these findings, we based our search for candidate mental retardation genes on the hypothesis, that a gene causing a disease is expressed in tissues affected by this disease.
We based our search strategy on that used by the Cochrane Tobacco Addiction Group 13 for identifying randomised controlled trials of smoking cessation together with the Cochrane Metabolic and Endocrine Disorders Group 14 search strategy for interventions in type 1 or type 2 diabetes using the high sensitivity options (see online supplementary appendix 2).
This interpretation needs to be qualified because, as described in the Background and Methods sections, we base our search strategy on a number of criteria, including the presence of a valid pre-miRNA sequence in available rice, wheat, Brachypodium or barley sequence databases.
Additionally, we based our exhaustive search strategies on searches specifically designed during the original guidelines development.
We based our information on nationwide search data from the USA and Australia, countries used to represent the northern and southern hemispheres, respectively.
We based our approach on HMM searches using established profiles, which would of course miss any "cryptic", non-HMM-conforming enzymes.
We therefore based our annotation strategy on the searches for OGs within 21 selected genomes followed by similarity searches from each OG.
Search of http://www.clinicaltrials.gov yielded only one clinical trial based on our search parameters that is looking for gene biomarkers in the blood that can be used for diagnosis of NSCLC (http://www.clinicaltrials.gov identifier NCT02169349; Table 3).
Based on our search criteria, 152 studies relevant to the role of OGG1 mutations/polymorphisms on cancer/disease susceptibility were identified.
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CEO of Professional Science Editing for Scientists @ prosciediting.com