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In order to realize this goal, nucleotide sequencing advances allowing snapshots of entire genomes and exomes are being utilized to identify molecular entities associated with disease states.
Global approaches such as phosphoproteomics, combined with different MS strategies, have been and are being utilized to identify dynamic changes in phosphorylated proteins over time and space.
Furthermore, protein protein interaction studies via mass spectrometry are being utilized to identify macromolecular complexes and subsequent protein networks involved in regulating the virulence traits of T. gondii (4).
Metabolic network context is being utilized to identify transcriptionally differentially regulated pre-defined pathways of enzymes sharing metabolites as substrates and products by parametric gene set enrichment analysis [ 3].
High throughput approaches, such as flow cytometry and microfluidics-based methods, are also being utilized to identify highly active cellulases, with the potential for use in selecting enzymes from existing or new variant libraries [ 94].
We will focus on the use of MS in the discovery and mapping of histone modifications and how novel proteomic approaches are being utilized to identify and study chromatin-associated proteins and multi-subunit complexes.
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A proteomic approach has also been utilized to identify proteins regulating reinstatement (Reissner et al, 2011).
To this end, the higher-order spectral scheme is utilized to identify aerodynamic nonlinearity.
Numerous techniques are utilized to identify the sentinel node with approximately the same success rate.
Next, we investigated if HATRIC-LRC technology could be utilized to identify receptors for small-molecule ligands.
The 3D-motif analysis was utilized to identify the significant features.
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