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Next, we examined whether the results could be improved by reprocessing the data from raw FASTQ sequence files.
Furthermore, data can be acquired and reprocessed without any a priori knowledge about the presence of specific compounds; that is, no analyte-specific information is required before injecting a sample and the presence of newly identified compounds can be confirmed in previously analysed samples simply by reprocessing the data.
This was implemented in MATLAB by reprocessing the data iteration by iteration; if data for the previous iteration had been present, the algorithm removed data with a 5% likelihood, and if data for the previous iteration had been absent, the algorithm removed data with a 25% likelihood.
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The issue of nonmerohedral twinning was addressed by reprocessing the diffraction data with EVAL14 (Duisenberg et al, 2003) and deconvoluting overlapping reflections from the interfering lattice.
Therefore, it appears possible to substantially increase the data output by reprocessing the image files starting after the barcode sequences.
Method validation was carried out by reprocessing the objective analysis with a reduced data set (90%).
Both methods detect a true TWT by reprocessing the correlograms obtained by the MC method.
Therefore, we reprocessed the data by selecting the same interval (approximately 60 to 400 s after penetration) as much as possible for all operations and by manually selecting a 'clean' interval as for long as possible.
To optimize the application of the ideal reference genes, we reprocessed the data and characterized the reference genes as a two-way table (Table 6).
It is important to highlight that data in PRIDE is not reprocessed in any way, while PeptideAtlas and GPMDB reprocess the data using the very popular pipelines TPP and X!Tandem, respectively.
Therefore, we reprocessed the data in P1 (xia2, 3da mode) and resolved the structure with two copies of the complex in the asymmetric unit.
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