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Gene predictions were performed using the GeneQuest program (Lasergene 7 DNASTAR) to predict potential coding regions, starts, stops, acceptors and donor sites using Borodovsky matrix files for Caenorhabditis elegans; and the results compared with that of the Eukaryotic GeneMark.hmm [ 66] gene prediction server provided freely on the website of Georgia Institute of Technology, Atlanta, USA.
Coding sequence predictions were performed using GENSCAN [ 30] and AUGUSTUS [ 53], predicting 15,713 and 15,904 proteins respectively.
Protein-coding sequences predictions were performed using Prodigal v2.0 (Hyatt et al. 2010), rRNA were predicted using rnammer v1.2 (Lagesen et al. 2007), whereas transfer RNA (tRNA) were predicted using tRNAscan-SE v1.3 (Lowe and Eddy 1999).
The predictions were performed using LIBSVM.
Protein predictions were performed using FGENESH (http://linux1.softberry.com/berry.phtml?topic=fgenes_plus&group=programs&subgroup=gfs).
Subsequently, predictions were performed using the validated model to determine the effects of substrate concentration and HRT on the reactor performance.
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Visualization of gene predictions was performed using the Genboree system (www.genboree.org) and the CONAN database [13].
Secondary structure predictions was performed using Jpred [ 39, 40].
Training and prediction were performed using the RFECS methodology previously applied to prediction of enhancers.
Crack initiation life prediction was performed using different damage criteria.
Gene prediction was performed using PICRUSt 1.0.0 and Greengenes database v13.5 (Langille et al. 2013).
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