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The NetMHCIIpan epitope prediction program was utilized to identify the optimal CD4+ T cell epitopes (length 15 a.a).
The Computational Analysis of gene Family Evolution (CAFE; [ 65, 66]) computer program was utilized to identify gene families that had potentially undergone significant expansion or contraction in the genomes of the analyzed trunk pathogens.
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A perl script that implemented Dynamic Programming was utilized to identify which of the 1156 sequence reads contained both the CRJE sequence and the C2 region [ 114].
A Cox proportional hazards model was utilized to identify factors associated with survival.
The SpLip algorithm [17] was utilized to identify and eliminate lipoproteins.
The NCBI HomoloGene database was utilized to identify orthologous genes regulated during aging in D. melanogaster.
Deletion typing and Spoligotyping was utilized to identify the strains.
Moreover, Reaction can be utilized to identify transcriptional programs that are predictive to patient survival time of breast cancer patients.
A proteomic approach has also been utilized to identify proteins regulating reinstatement (Reissner et al, 2011).
To this end, the higher-order spectral scheme is utilized to identify aerodynamic nonlinearity.
Numerous techniques are utilized to identify the sentinel node with approximately the same success rate.
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