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To identify mechanisms that determine site-specific differences for de novo lipogenesis, the array dataset was screened for genes encoding members of regulatory pathways and hormone receptors.
The full sc-PDB dataset was screened for similarity to the staurosporine-binding site of the Pim-1 kinase (PDB entry 1yhs) using standard settings of the SiteAlign v4.0 program.
Hence, 20% of the dataset was screened by at least two researchers: the results showed a uniform application of the screening methods.
The dataset was screened for new microRNAs as described previously (Marco et al. 2010, 2013a; Marco and Griffiths-Jones 2012), but no new microRNAs were found.
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It is not clear why there is such a marked difference in behaviour between BIN and TAN when different types of dataset are screened.
For assessing the full-length transcripts, the pooled contigs and singlets that comprised the unigene dataset were screened using the ESTScan program.
All 88 peptides of each dataset were screened using a tumor sera pool (composed of 20 sera) obtained from ovarian cancer patients and a reference sera pool (composed of 10 sera) from non-cancer female patients.
The independent SAGE and microarray datasets were screened for S100 gene expression patterns.
Initial datasets were screened for orthology using reciprocal BLAST best hits and manual tree building.
Available genome datasets were screened with the following PFAM HMMs with a cutoff of E ≤ 0.0001: Sigma70_r2/3/4 (PF 04542, 04539, 04545); PPR repeat (PF01535).
In order to assign putative functions to the species-specific gene datasets, the datasets were screened and compared to a number of databases and were then manually-curated based on the sum collection of evidence for each gene.
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