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Technical variation of the workflow is very low with selection of high confidence peptide spectral matches ensuring that quantification is only calculated from good quality matches, reducing technical variation and ensuring low false discovery rates.
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A universal initial step involves data normalization, which allows valid comparisons across samples by reducing technical variations not directly related to biological variation [ 5].
GeneChIP.CEL files were loaded into DNA-Chip Analyzer (dCHIP) [79] (http://www.dchip.org) for normalization to reduce technical variation between chips, standardization to reduce variance of expression level estimates by accounting for probe differences, and analysis using model-based expression indexes (MBEI).
Normalization was conducted to reduce technical variation between chips.
This value was subsequently used as a normalisation factor to reduce technical variation.
The normalization procedure reduces technical variation and maintains true biological changes between arrays.
Due to multiplexing, individual experimental replicates were thus sequenced on each of the four flow-cells to reduce technical variation.
All reverse transcriptions were carried out at the same time on 96 well plates to reduce technical variation.
To test whether increased technical replication reduces technical variation, we focused on D. yakuba, which offers the greatest range of sequence divergence relative to D. melanogaster.
Although we tried to reduce technical variation such as batch effects in each data set, it is possible that some technical artifacts remained.
The characteristics of DOC as discussed above suggest that having a control derived from the same platform would largely reduce technical variation.
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