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As we ate, we searched each other for my father's traits, for our own likeness.
Next, we searched each recording for periods of continuous motor activity in the morning and evening of 64-min duration.
Then, we searched each miRNA in "miRNAs cluster 1" individually in conjunction with mesenchymal stromal cell (e.g., "miR-21" and "mesenchymal stromal cell") and reviewed each article to get miRNAs ("miRNAs cluster 2") associated with mesenchymal stromal cell from "miRNAs cluster 1".
We searched each one before allowing them on the aircraft ramp.
We searched each cluster for, on average, 11.2 minutes (±0.2 SE).
We searched each candidate sequence in the complete genomic BLAST databases made available by NCBI.
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Our work is different from the previous one such that we search each frequency rhythms and concatenate the features of each rhythm for constructing robust descriptors.
We searched for each citation in each bibliographic database (all searches performed between March and October, 2010).
To identify the KOG classification of each gene, we searched for each amino acid sequence in the KOG database in NCBI using KOGnitor (http://www.ncbi.nlm.nih.gov/COG/grace/kognitor.html).html
We further searched each PDB ID in the dataset and retrieved their SCOP superfamily classifications [57].
We then searched each putative N. giraulti and N. longicornis orthologous exon sequence against the N. vitripennis genome.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com