Sentence examples for various bioinformatics tools from inspiring English sources

The CsLTL-1 sequence was completely characterized using various bioinformatics tools.

The signal peptide, GPI-anchor, transmembrane domain and subcellular localization of OsRUS proteins were predicted by various bioinformatics tools.

It is expected that the increasing use of high-throughput technology, embracing various bioinformatics tools made available only recently, and advances in the understanding of enzymatic catalysis mechanisms, protein structure and function relationships, and the fundamentals of metabolic pathways and regulation bring about more widespread use of biocatalysts in chiral synthesis.

Starting from some raw files of this dataset, we also provide here some processed data obtained through various bioinformatics tools (including Max Quant Skyline, MFPaQ, IRMa-hEIDI and Scaffold) in different workflows, to exemplify the use of such data in the context of software benchmarking, as discussed in details in the accompanying manuscript [1].

Before data processing, we used various bioinformatics tools to examine the quality and reproducibility of each expression profiles.

Through an application of various bioinformatics tools networks could be constructed that appear to be hallmarks at distinct phases of tumor development therefore enabling fingerprinting of genes associated with pathological phenotypes.

Both nucleotide and amino acid sequences were analyzed by various bioinformatic tools.

Both nucleotide and amino acid sequences were subjected to analyses by various bioinformatic tools like alignment, BLAST search, structure prediction, and phylogenetic analysis.

Initial assemblies of 454 data were highly fragmented, and various bioinformatic tools detected between 15 and 465 SNPs and INDELs when comparing both strains, the vast majority associated with A or T homopolymer sequences.

Although various bioinformatic tools predict several structural motifs within the sequence of PfPV1, these algorithms do not detect the same domains when applied to homologous sequences from other Plasmodium species, and are thus likely to represent in silico artefacts.

The various bioinformatic tools we employed did not recognize a mitochondrial targeting signal on the Trimastix cpn60 protein, however it does possess an N-terminal extension relative to bacterial homologs (Fig. 1).