Abstract / Description of output
commonly considered technical limitations such as low proteome coverage, but rather by insufficient analyses. Proteomic experimentation requires careful methodological selection to account for variables from sample collection, through to database searches for peptide identification to a standardised post-mass spectrometry options directed analysis workflow which should be adjusted for each study, from determining when and how to filter proteomic data, to choosing holistic versus trend-wise analyses for biologically relevant patterns. Finally, we highlight and discuss the difficulties inherent in the modelling and study of the majority of progressive neurodegenerative conditions. We provide evidence (in the context of neurodegenerative research) for the benefit in undertaking a comparative approach through the application of the above considerations in the alignment of publicly available pre-existing data sets to identify potential novel regulators of neuronal stability.
Keywords / Materials (for Non-textual outputs)
- systems biology experimental design, neurodegeneration; pathway analy- 34 sis; data filtering
- systems biology
- experimental design
- neurodegeneration pathway analy- 34 sis; data filtering
- pathway analysis
- data filtering
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Dominic Thekkedath Kurian (Manager)Royal (Dick) School of Veterinary Studies