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The software Bowtie2 (version: Bowtie2-2.1.0) and Rfam database (http://rfam.xfam.org/) were used to filter ribosomal RNA or transfer RNA.
Various quality controls were used to filter out artifacts due to formalin fixation or oxidation during library preparation.
Finally these GTIs were used to filter the event file and specextract was used to extract the spectrum.
Following the MapReduce formalism, Map functions were used to filter and backproject subsets of projections, and Reduce function to aggregate those partial backprojection into the whole volume.
Strict criteria were used to filter the raw data, and 37,128 high-quality SNPs with less than 30% missing data were analysed regarding their genetic diversity and population structure.
High confidence (corresponding to≤1% false discovery rate for peptide spectrum matches), minimum peptides length of 7 amino acid residues, peptide score 10, and peptide rank 1 were used to filter the result matches.
A combination of a univariate step and 2 multivariate steps (principal components analysis and cluster analysis) were used to filter the data.
A number of rules were used to filter the dataset.
In consequence, parts of the automated decision modules were used to filter relevant substances in a series of screening phases.
The SMARTS patterns were used to filter the 210 ACTIVATING features to identify features that contained the Kazius toxicophore.
These criteria were used to filter out spurious ORF clusters.
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