Sentence examples for mutation profile and from inspiring English sources

We did not find any correlation between the gene mutation profile and NTM infection.

Mutation profile and predicted genotypic resistance were analyzed by comparison to the Stanford HIV Drug Resistance Database (hivdb.stanford.edu).edu

A list of the 31 proteins from artificial sources, together with their mutation profile and corresponding GI is provided in Additional file 1: Table S2.

Thus, for each case, only the determination of all potential mutations and the reconstitution of the mutation profile and clonal evolution will help understand the pathophysiology of the disease.

The Lactamase Engineering Database enables a systematic analysis of TEM β-lactamase sequence and annotation data from different data sources, and thus provides a valuable tool to identify inconsistencies in sequences from the NCBI peptide database, to detect TEM β-lactamases with a novel mutation profile, and to identify new amino acid positions at which mutations can occur.

Thus, 156 well-characterized TEM β-lactamases were used as a starting point to set up a TEM β-lactamase database and to identify inconsistencies in sequences from the NCBI peptide database, to detect TEM β-lactamases with a novel mutation profile, and to identify new amino acid positions at which mutations can occur.

Because of the tremendous diversity and complexity of cancer gene mutations, cancers even the same type of cancers show very different mutation profiles and few common patterns behind these data have been identified.

Type I and II endometrial cancers have different mutation profiles and precursor lesions (Sherman, 2000; Fadare and Zheng, 2008).

These projects seek to find correlations between mutation profiles and clinical outcomes, identify mutations driving cancer progression and identify targets for novel therapeutic developments.

We further integrated cancer cell line mutation profiles and drug pharmacological data from the Cancer Cell Line Encyclopedia (CCLE) onto protein pocket regions in order to identify putative biomarkers for anticancer drug responses.

Finally, we predicted several putative biomarkers for anticancer drug responses through the integration of cancer cell line mutation profiles and drug pharmacological data from the Cancer Cell Line Encyclopedia with protein pocket regions.