Sentence examples for bioinformatic approach to predict from inspiring English sources

Shah et al. have developed another bioinformatic approach to predict the number and distribution of subclones from deep-sequenced selected mutated genes and to infer the clonal evolution of triple negative breast cancer (Shah et al., 2012).

To investigate the role of HIPPI as a novel transcription regulator, we first took bioinformatic approaches to predict the targets of HIPPI and then tried to experimentally validate the predictions.

The public availability of at least 100 genome sequences of Bacillus species presents new opportunities to use bioinformatic approaches to predict biological processes.

We have applied several bioinformatic approaches to predict the severity of each mutation and to model the effects on protein structure.

In these cases, assessment of potential functional roles for variants found requires integration of information on gene expression profiles and other sources of transcriptome data and implementation of bioinformatic approaches to predict functional effects.

Similarly, we showed by direct RNA transfection of a dicistronic transcript that the predicted IRES in the SPG4 exon 1 is not functional, further confirming the imprecision of bioinformatic approaches to predict IRES sequences and stressing the importance of adequate functional validation.

Many of the bioinformatic approaches to predict the functional effects of missense mutations were initially developed for germline variation and have been applied to better understand common and rare disease variants as well as evolution (N g and H enikoff 2001; R amensky et al. 2002; B romberg and R ost 2007; K ryukov et al. 2007).

In this study we use a bioinformatics approach to predict its structure, which would be helpful to understanding its role.

Furthermore, we used bioinformatics approach to predict the mRNA structure and found that targeting sequences of loose structure benefit to improve the virus resistance level.

The inability of the employed bioinformatics approach to predict these particular epitopes and the possibility of escape could also explain why some responses were detected with 15-mers but were not detected using autologous HLA-restricted epitopes.

Curtis et al. (2012) used a bioinformatics approach to predict PPC-targeted proteins in B. natans and the cryptophyte Guillardia theta, using the presence of SP and TP sequences as the first step of their screening procedure.