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We used the alignments obtained during these and other searches started from other query sequences along with secondary structure predictions to construct multiple alignments for Cas7 and a number of most closely related RAMP subfamilies.

Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific.

Because expression data were unavailable for some of the species used in this study, we used the program scnRCA (O'Neill et al. 2013) to analyze all of the GLEAN-R predictions to construct the species-specific reference gene set that exhibits the dominant codon bias for each species.

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In this direction, we designed and developed a modular protocol to integrate a set of complementary bioinformatic methods for gene expression data preprocessing, differential expression analysis, gene expression clustering, co-regulated gene module and regulator construction, DNA binding motif identification, and gene function prediction to construct and validate gene regulatory modules.

Authors state (lines 134-137): "We used the alignments obtained during these and other searches started from other query sequences along with secondary structure prediction to construct multiple alignments for Cas7 and a number of most closely related RAMP subfamilies".

We predict the position of the moving object in the current frame using historical motion information, and then use the prediction information to construct a predictive model.

The aim of genetic prediction is to construct a model to predict the phenotype of interest using the genotype data from individuals for whom the (potentially future) phenotypic state is unknown.

An alternative to using individual markers for prediction is to construct haplotypes based on several markers surrounding a QTL.

If no ESTs were available to use as an anchor for a predicted transcript, then a combination of reads (if available), prediction based on blast hits and the JGI predictions were used to construct a transcript.

If no ESTs (or reads) were available to use as an anchor for a predicted transcript, then a combination of the Blast hits and available predictions were used to construct a transcript.

After calibration to available well information, the pressure predictions were used to construct a mud weight and mud circulation warning display.

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