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An extensive bioinformatics study, based on gene ontology and on DNA sequence predicted to encode known DNA-binding domains, identified 938 potential transcription factor genes in the C. elegans genome [ 4, 5].
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We also sought to understand how druggable the candidate genes predicted in the newer study, based on 5 bioinformatic modules, were compared to our older 2-module study.
Efforts directed specifically at finding O-mannosylated proteins have been undertaken more recently, beginning with a study based on a bioinformatic search for a previously identified cis-peptide determinant of O-mannosylation on α-DG that resulted in the demonstration that neurofascin 186 is O-mannosylated.
However, such conclusions rejecting PVC superphylum relevance to eukaryote evolution are not only based on limited studies but also on studies based on a very limited sampling of taxa and limited types of bioinformatic analysis.
The design of such large-scale bioinformatics systems is an evolving and dynamic field, based on central cores of bioinformatics software tools and relational databases.
The present study was based on one hand on the results obtained by these authors and, on the other hand, on the design of further probes using the same bioinformatics tool ORMA.
(17) Experimental approaches have also been complemented by studies using bioinformatics analysis based on multiple sequence alignment, 22) structure prediction, or multifactorial likelihood modeling in which available genetic data, co-occurrence, and predictive methods are combined.
In conclusion, the study demonstrates a utility of the proposed bioinformatics approach based on fingerprinting of bacterial phenotypes for analysis of large-scale transcriptomics and proteomics data.
Bioinformatics analyses based on EST sequences and exon-exon junction microarray studies show that 59% ∼74%of human genes are alternatively spliced [1], [2].
For complex diseases, discovering new bioinformatics strategies based on genome-wide Bayesian association methods that avoid the limitations of other study is vital.
The relationship between the mutations and epitopic functions are investigated with bioinformatics tools, based on their sequence information.
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