dc.creator | Madrid Márquez, Laura | es |
dc.creator | Rubio Escudero, Cristina | es |
dc.creator | Pontes Balanza, Beatriz | es |
dc.creator | González Pérez, Antonio | es |
dc.creator | Riquelme Santos, José Cristóbal | es |
dc.creator | Sáez, María E. | es |
dc.date.accessioned | 2022-07-01T10:46:19Z | |
dc.date.available | 2022-07-01T10:46:19Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Madrid Márquez, L., Rubio Escudero, C., Pontes Balanza, B., González Pérez, A., Riquelme Santos, J.C. y Sáez, M.E. (2022). MOMIC: A multi-omics pipeline for data analysis, integration and interpretation. Applied Sciences, 12 (8 - art. nº3987) | |
dc.identifier.issn | 2076-3417 | es |
dc.identifier.uri | https://hdl.handle.net/11441/134913 | |
dc.description.abstract | 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. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2017-88209-C2-2-R | es |
dc.description.sponsorship | Junta de Andalucía P18-RT-2778 | es |
dc.description.sponsorship | Junta de Andalucía US-1263341 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación IPT-2011-0952-900000 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Applied Sciences, 12 (8 - art. nº3987) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multi-Omics | es |
dc.subject | Integration | es |
dc.subject | Analysis | es |
dc.subject | pipeline | es |
dc.subject | Reproducibility | es |
dc.title | MOMIC: A multi-omics pipeline for data analysis, integration and interpretation | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2017-88209-C2-2-R | es |
dc.relation.projectID | P18-RT-2778 | es |
dc.relation.projectID | US-1263341 | es |
dc.relation.projectID | IPT-2011-0952-900000 | es |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/12/8/3987 | es |
dc.identifier.doi | 10.3390/app12083987 | es |
dc.contributor.group | Universidad de Sevilla. TIC-254: Data Science and Big Data Lab | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
dc.journaltitle | Applied Sciences | es |
dc.publication.volumen | 12 | es |
dc.publication.issue | 8 - art. nº3987 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |