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The NMR chemical shifts of a substance in urine strongly depend on the composition of the mixture itself, and this makes automatic assignment for quantification very difficult. Here the authors show the chemical shifts of signals and the concentration of NMR-invisible inorganic ions in urine, are predictable.
This protocol describes how to use ChromHMM, a robust open-source software package that enables the learning of chromatin states, annotates their occurrences across the genome, and facilitates their biological interpretation.