 | | Proteomic data analysis | | | Question | | | Can I analyze proteomics data? | | Answer | Yes, proteomics is the large-scale study of proteins, particularly their expression and physical properties. Commonly quantitative methods used in proteomics are specific panels such as Olink, 2D gel, LC-MS and LC-MS/MS.
Typical key functionality are investigate any structure in data using variance filtering combined with PCA, perform statistical filtering using ANOVA to enhance results or generate a list of proteins that classifies data based on a selection of statistical tests: F-test, t-tests or regression.
There are different supporting documents available:
How to analyze Olink data B.pdf goes through how to analyze data from the Olink panels.
How to analyze Proteomics data A.pdf goes through other types of proteomics data. | | Related articles | - How to import data (RNA-seq, Illumina, Olink, Affymetrix, 10x, Agilent, Wizard, tab separated, csv, txt, bam)
- Supported data types
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