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Analiza Proteomike×Analiza proteomike multi-omike×
FushaBioinformatikëBioinformatikë
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1994–2003 (term coined 1994; shotgun proteomics established early 2000s)2010s (integrative multi-omics frameworks emerged ~2012–2019)
KrijuesiMarc Wilkins, Matthias Mann, Ruedi Aebersold (proteome/mass spectrometry foundations)Le Cao, K.-A. and colleagues (mixOmics/DIABLO framework); broader field rooted in Aebersold & Mann proteomics work
LlojiQuantitative omics pipelineIntegrative computational pipeline
Burimi themeluesWilkins, M. R., Sanchez, J.-C., Gooley, A. A., Appel, R. D., Humphery-Smith, I., Hochstrasser, D. F., & Williams, K. L. (1996). Progress with proteome projects: Why all proteins expressed by a genome should be identified and how to do it. Biotechnology and Genetic Engineering Reviews, 13(1), 19–50. link ↗Rohart, F., Gautier, B., Singh, A., & Le Cao, K.-A. (2017). mixOmics: An R package for omics feature selection and multiple data integration. PLOS Computational Biology, 13(11), e1005752. DOI ↗
Emërtime të tjeraproteomics, mass spectrometry-based proteomics, shotgun proteomics, quantitative proteomicsintegrative proteomics, multi-omics proteomics integration, proteogenomics multi-omics, cross-omics proteomics
Të lidhura66
PërmbledhjaProteomics analysis is a systematic pipeline for identifying and quantifying proteins in biological samples using mass spectrometry. Starting from raw spectral data, the workflow searches protein sequence databases, estimates abundance across conditions, applies statistical tests for differential expression, and maps findings onto biological pathways. It complements transcriptomics by capturing post-translational regulation and actual protein abundance, and is central to biomarker discovery, drug-target identification, and systems biology.Multi-omics proteomics analysis integrates protein abundance data from mass spectrometry with at least one additional omics layer — such as genomics, transcriptomics, or metabolomics — to build a systems-level view of biological regulation. Rather than analyzing proteins in isolation, this approach correlates proteomic profiles with upstream molecular events (e.g., DNA variants, mRNA levels) and downstream functional readouts (e.g., metabolite concentrations), enabling discovery of regulatory drivers that single-omics analyses would miss.
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ScholarGateKrahasoni metodat: Proteomics Analysis · Multi-omics proteomics analysis. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare