পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মাল্টি-ওমিক্স প্রোটিওমিক্স বিশ্লেষণ× | মেটাবোলোমিক্স বিশ্লেষণ× | |
|---|---|---|
| ক্ষেত্র | জৈব তথ্যবিজ্ঞান | জৈব তথ্যবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2010s (integrative multi-omics frameworks emerged ~2012–2019) | 1998–2002 |
| প্রবর্তক≠ | Le Cao, K.-A. and colleagues (mixOmics/DIABLO framework); broader field rooted in Aebersold & Mann proteomics work | Oliver et al. (coining of 'metabolomics'); Oliver Fiehn (systematic framework) |
| ধরন≠ | Integrative computational pipeline | Quantitative omics pipeline |
| মৌলিক উৎস≠ | 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 ↗ | Fiehn, O. (2002). Metabolomics — the link between genotypes and phenotypes. Plant Molecular Biology, 48(1-2), 155–171. link ↗ |
| অপর নাম | integrative proteomics, multi-omics proteomics integration, proteogenomics multi-omics, cross-omics proteomics | metabolome profiling, metabolic profiling, metabonomics, metabolite profiling |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | 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. | Metabolomics analysis is the large-scale, systematic measurement of small-molecule metabolites in a biological sample to characterise the metabolome — the complete set of metabolic intermediates and products present under defined conditions. By coupling high-throughput analytical platforms such as mass spectrometry (MS) or nuclear magnetic resonance (NMR) spectroscopy with multivariate statistics and pathway databases, metabolomics bridges the genotype–phenotype gap and captures the downstream functional output of genes, transcripts, and proteins in real time. |
| ScholarGateডেটাসেট ↗ |
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