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Both datasets were filtered using a low-pass filter at 100 Hz and a high-pass filter at 0.1 Hz.
In this study, both datasets were filtered to minimize the impact of the identified GC bias and exclude the artificial duplicate sequences.
Both datasets were filtered to exclude essential genes, as well as all genes not found to participate in any synthetic-lethality relationships.
Both datasets were filtered using a cutoff on the mean signal (≥ 10 in the condition the gene had to be present in), the changefold (≥ 2) and the t-test (≤ 0.0001).
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MAS5 data were log2 transformed and both RMA and log2MAS5 datasets were filtered to include only those probes on the Affymetrix (Santa Clara, CA, USA) HG-U133A array.
The aligned datasets were filtered by removing columns containing only insertions.
The gene datasets were filtered by SERPINB2 expression profiles and the differentiation potency of stem cells or toxicity-related diseases.
Splice variants were removed from the datasets, keeping only the representative/longest protein sequence prediction, and datasets were filtered for internal stop codons and incompatible reading frames.
All resulting datasets were filtered using the absolute call metric (present or absent) implemented within Microsoft Access (Microsoft Corporation, Redmond, WA).
In the process of LD estimation, SSR datasets were filtered for rare alleles with frequencies of less than 5% in the whole collection and computed using 100,000 permutations.
Large datasets were filtered to include only regions shown in Figure 1.
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