bioRxivBioinformaticsPreprint
Omix: A Multi-Omics Integration Pipeline
Eléonore SchneegansiD, Nurun Nahar FancyiD, Michael ThomasiD, Nanet WillumseniD, Paul McMahan MatthewsiD, Johanna JacksoniD
Abstract
SummaryThe Omix pipeline offers an integration and analysis framework for multiomics intended to preprocess, analyse, and visualise multimodal data flexibly to address various research questions. From biomarker discovery and patient stratification to the investigation of complex biological processes, Omix empowers researchers to derive valuable insights from omics data. Using Alzheimers Disease (AD) bulk proteomics and transcriptomics datasets generated from two distinct regions derived from post-mortem brains, we demonstrate the utility of Omix in generating an integrated pseudo-temporal multi-omics profile of AD. Availability and ImplementationOmix is implemented as a software package in R. The code for the Omix package is available at https://github.com/eleonoreschneeg/Omix. Reference documentation and online tutorials are available at https://eleonore-schneeg.github.io/Omix. All code is open-source and available under the GNU General Public License v3.0 (GPL-3). Contacteleonore.schneegans17@imperial.ac.uk, johanna.jackson@imperial.ac.uk
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- research focus: batch correction / integration
- research focus: trajectory inference
- research focus: differential expression
- approach: statistical model
- Citations
- 3
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