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But since then, methods development in computational proteomics has proliferated [16, 21] and long surpassed that in metabolomics and small molecule research.
Despite a long history of linear methods development in the engineering sciences, natural systems are generally not well described as sums of independent frequencies that can be sensibly decomposed, analyzed as non-interacting, and reassembled (e.g. Fourier or spectral analysis) in the style of traditional reductionism [15], [16].
For these types of data, ongoing methods development in the field of systematic review can help.
Conservation is not and will not be driving the methods development in the field of genetics.
We explore some of the factors underlying these computational differences, and the implications they hold for future methods development, in the Discussion.
Because CCMpred is free and open-source software, we hope that it also can serve as a basis for further methods development in this field.
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A survey of different strategies for chromatographic method development in pharmaceutical research and development is presented.
This approach was proven to be useful for systematic method development in HPLC analysis.
Suggestions on method development in order to increase the quality of the analysis methods for environmental assessment are discussed.
Examples of fast and effective method development in pharmaceutical analysis, both for gradient and isocratic separations are presented.
Finally, a schedule of recommendations to assist the practitioner during systematic method development in high-temperature liquid chromatography was established.
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