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However, oftentimes the two approaches cannot be separated; for example understanding a qualitative process such as the mechanism regulating cell division requires quantitative understanding of this system's dynamics.
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Understanding of these aspects requires quantitative models of proliferation and differentiation of T lymphocytes.
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A deeper understanding of ncRNAs' diverse and fundamental functions requires quantitative, high-throughput, and systematic profiling in various cell types and physiological conditions.
A systems level understanding of plant responses to the environment requires quantitative gene expression data with high spatial and temporal resolution from multiple individuals [ 1, 2].
Understanding mechanisms of information processing in cellular signaling networks requires quantitative measurements of protein activities in living cells.
From a physiological perspective, a proper understanding of the metabolic phenotypes of various mouse models requires quantitative integration of these variables and how they change over time.
Understanding the diverse roles of ABA in multiple tissues requires quantitative knowledge of ABA levels and dynamics in individual cells.
Understanding the response of the El Niño-Southern Niño-SouthernENSOscillationl warming rENSOres quantotative data on ENSO under different climate reglobal
Understanding the function of histone modifications across inducible genes in mammalian cells requires quantitative, comparative analysis of their fate during gene activation and identification of enzymes responsible.
Processing such vast evidence requires quantitative methods.
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