Sentence examples for scripts are applied from inspiring English sources

Step 2: Custom-written MATLAB scripts are applied to reconstructed kinematic data in order to compute basic parameters and highly elaborated variables that provide a comprehensive quantification of gait features.

This paper presents a case of study where a technology based orchestration of learning scripts was applied in a large enrollment course to promote student sustained effort through the course and keep the workload on teaching staff within reasonable margins.

Custom user scripts were applied to extract the COG annotation for the mapped reads.

The Perl scripts were applied to generate the alignment for each gene by replacing the references with reported SNPs.

In-house Python and R scripts were applied to organize results and make a pipeline for analysis.

To avoid redundant transcripts, in-house Perl scripts were applied to extract the longest transcripts as unigenes.

Further custom Perl scripts were applied to produce ordered variant lists for each reference sequence and to calculate distributions and frequencies.

A set of PERL scripts was applied to generate a fasta file for each of the orthologous genes and to automatically align group of orthologous amino acid sequences separately with MAFFT L-INS-I (Katoh and Toh 2008).

Perl scripts were applied to compare the nucleotide consensus of each read type at each variant position based on intra- and inter-genotype polymorphisms, ambiguity type and relation to the reference in order to sort variants into different categories.

The customized perl scripts were applied then to generate a ".loc" file as the input of Joinmap 3.0 [ 77, 78] with SNP linkage map calculated at a log of odds (LOD) value of 6.0 and a maximum recombination of 0.400 with regression algorithm.

Then, the script was applied for modeling of activated sludge process (ASP) for two different cases.