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To determine the potential increase in targeting space, we performed bioinformatic analysis to determine the available CRISPR sites in the human genome.
The genes flanking the 27 novel lanC-like genes were subjected to further bioinformatic analysis to determine the presence of other orfs that share homology with genes linked to lantibiotic production or immunity.
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We presented an integrative bioinformatics analysis to determine kinase dependency in TNBC.
The promoters of the Early and Late response groups were subjected to bioinformatics analysis, to determine whether the kinetics of NF-κB-inducible transcription was a function of the location or number of high-affinity NF-κB-binding sites [ 24].
The results of our bioinformatics analysis to determine relevant TFs guided by the gene expression results, is followed up by extensive experiments based on clinically relevant cases and revealed among the identified TFs, E2F5 that demonstrates a strong potential to improve diagnostics of OEC.
Aspects of the laboratory exercise that most specifically addressed this learning outcome were: 1) observing wild-type C. elegans and worms carrying a deletion in the assigned gene; 2) performing nested PCR to detect the assigned deletion; and 3) using bioinformatics analysis to determine how the genetic deletion would affect the protein made from the gene.
To identify those mitochondrial regulatory and degradation genes that maintain functional populations of mitochondria in the lens epithelium and eliminate mitochondria in the lens fiber cells, we used high-throughput mRNA sequencing combined with bioinformatics analysis to determine the entire spectrum and range of transcripts expressed by EC, EQ, FP, and FC cells of the E13 chicken lens.
Bioinformatic analysis to develop transcript panels.
We performed bioinformatic analysis to explore miRNA targeting NOB1.
JMB did the bioinformatic analysis to obtain the microarray annotation.
To determine the structural nature of ApLRRTK protein, we first performed bioinformatics analysis to predict its putative domain composition.
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