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  2. Proteogenomics - Wikipedia

    en.wikipedia.org/wiki/Proteogenomics

    Proteogenomics uses an integrated approach by combining genomics, proteomics, and transcriptomics. Proteogenomics is a field of biological research that utilizes a combination of proteomics , genomics , and transcriptomics to aid in the discovery and identification of peptides.

  3. Proteomics - Wikipedia

    en.wikipedia.org/wiki/Proteomics

    Proteomics enables the identification of ever-increasing numbers of proteins. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes. [3] Proteomics is an interdisciplinary domain that has benefited greatly from the genetic information of various genome projects, including the Human Genome Project. [4]

  4. Chemoproteomics - Wikipedia

    en.wikipedia.org/wiki/Chemoproteomics

    An example quantitative proteomics workflow. Protein extracts from different samples are extracted and digested using trypsin. Separate samples are labeled using individual isobaric tandem mass tags (TMTs), then labeled samples are pooled. The sample origin of each peptide can be discerned from the TMT attached to it.

  5. Neuroproteomics - Wikipedia

    en.wikipedia.org/wiki/Neuroproteomics

    Proteomics thus also offers a tracking mechanism by which researchers can monitor the progression of traumatic brain injury, or a chronic disease such as Alzheimer’s or Parkinson’s. Especially in Parkinson’s, in which neurotransmitters play a large role, recent proteomic research has involved the study of synaptotagmin.

  6. Marc Wilkins (geneticist) - Wikipedia

    en.wikipedia.org/wiki/Marc_Wilkins_(geneticist)

    In 1997 he co-edited the first book on proteomics, 'Proteome Research: New Frontiers in Functional Genomics' (Wilkins et al. (eds), Springer Verlag), which sold more than 4,000 copies. [5] He was a co-founder of the proteomics company Proteome Systems Ltd. It was established in January 1999, and listed on the Australian Securities Exchange in 2004.

  7. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    Machine learning techniques such as deep learning can learn features of data sets rather than requiring the programmer to define them individually. The algorithm can further learn how to combine low-level features into more abstract features, and so on. This multi-layered approach allows such systems to make sophisticated predictions when ...

  8. Proteome - Wikipedia

    en.wikipedia.org/wiki/Proteome

    The differences in protein expression can help identify novel cancer signaling mechanisms. Biomarkers of cancer have been found by mass spectrometry based proteomic analyses. The use of proteomics or the study of the proteome is a step forward in personalized medicine to tailor drug cocktails to the patient's specific proteomic and genomic ...

  9. Omics - Wikipedia

    en.wikipedia.org/wiki/Omics

    [1] [2] The branches of science known informally as omics are various disciplines in biology whose names end in the suffix -omics, such as genomics, proteomics, metabolomics, metagenomics, phenomics and transcriptomics. The related suffix -ome is used to address the objects of study of such fields, such as the genome, proteome or metabolome ...