Published July 1, 2022
| Version v1
Publication
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
Contributors
Others:
- Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
- Universidad de Sevilla. TIC-254: Data Science and Big Data Lab
- Universidad de Sevilla. TIC134: Sistemas Informáticos
- Ministerio de Economía y Competitividad (MINECO). España
- Junta de Andalucía
- Ministerio de Ciencia e Innovación (MICIN). España
Description
Background and Objectives: The burst of high-throughput omics technologies has given
rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful
biological knowledge through the integration of different layers of information. Methods: We have
developed a new software tool, MOMIC, that guides the user through the application of different
analysis on a wide range of omic data, from the independent single-omics analysis to the combination
of heterogeneous data at different molecular levels. Results: The proposed pipeline is developed
as a collection of Jupyter notebooks, easily editable, reproducible and well documented. It can be
modified to accommodate new analysis workflows and data types. It is accessible via momic.us.es,
and as a docker project available at github that can be locally installed. Conclusions: MOMIC
offers a complete analysis environment for analysing and integrating multi-omics data in a single,
easy-to-use platform.
Abstract
Ministerio de Economía y Competitividad TIN2017-88209-C2-2-RAbstract
Junta de Andalucía P18-RT-2778Abstract
Junta de Andalucía US-1263341Abstract
Ministerio de Ciencia e Innovación IPT-2011-0952-900000Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/134913
- URN
- urn:oai:idus.us.es:11441/134913