MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation

被引:4
作者
Madrid-Marquez, Laura [1 ,2 ]
Rubio-Escudero, Cristina [2 ]
Pontes, Beatriz [2 ]
Gonzalez-Perez, Antonio [1 ]
Riquelme, Jose C. [2 ]
Saez, Maria E. [1 ]
机构
[1] Andalusian Bioiformat Res Ctr CAEBi, Seville 41013, Spain
[2] Univ Seville, Dept Comp Languages & Syst, Seville 41013, Spain
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 08期
基金
英国医学研究理事会; 欧盟地平线“2020”;
关键词
multi-omics; integration; analysis; pipeline; reproducibility; QUALITY-CONTROL; R PACKAGE; METAANALYSIS; ASSOCIATION;
D O I
10.3390/app12083987
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 38 条
[1]   The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update [J].
Afgan, Enis ;
Baker, Dannon ;
Batut, Berenice ;
van den Beek, Marius ;
Bouvier, Dave ;
Cech, Martin ;
Chilton, John ;
Clements, Dave ;
Coraor, Nate ;
Gruening, Bjoern A. ;
Guerler, Aysam ;
Hillman-Jackson, Jennifer ;
Hiltemann, Saskia ;
Jalili, Vahid ;
Rasche, Helena ;
Soranzo, Nicola ;
Goecks, Jeremy ;
Taylor, James ;
Nekrutenko, Anton ;
Blankenberg, Daniel .
NUCLEIC ACIDS RESEARCH, 2018, 46 (W1) :W537-W544
[2]   A global reference for human genetic variation [J].
Altshuler, David M. ;
Durbin, Richard M. ;
Abecasis, Goncalo R. ;
Bentley, David R. ;
Chakravarti, Aravinda ;
Clark, Andrew G. ;
Donnelly, Peter ;
Eichler, Evan E. ;
Flicek, Paul ;
Gabriel, Stacey B. ;
Gibbs, Richard A. ;
Green, Eric D. ;
Hurles, Matthew E. ;
Knoppers, Bartha M. ;
Korbel, Jan O. ;
Lander, Eric S. ;
Lee, Charles ;
Lehrach, Hans ;
Mardis, Elaine R. ;
Marth, Gabor T. ;
McVean, Gil A. ;
Nickerson, Deborah A. ;
Wang, Jun ;
Wilson, Richard K. ;
Boerwinkle, Eric ;
Doddapaneni, Harsha ;
Han, Yi ;
Korchina, Viktoriya ;
Kovar, Christie ;
Lee, Sandra ;
Muzny, Donna ;
Reid, Jeffrey G. ;
Zhu, Yiming ;
Chang, Yuqi ;
Feng, Qiang ;
Fang, Xiaodong ;
Guo, Xiaosen ;
Jian, Min ;
Jiang, Hui ;
Jin, Xin ;
Lan, Tianming ;
Li, Guoqing ;
Li, Jingxiang ;
Li, Yingrui ;
Liu, Shengmao ;
Liu, Xiao ;
Lu, Yao ;
Ma, Xuedi ;
Tang, Meifang ;
Wang, Bo .
NATURE, 2015, 526 (7571) :68-+
[3]   Data quality control in genetic case-control association studies [J].
Anderson, Carl A. ;
Pettersson, Fredrik H. ;
Clarke, Geraldine M. ;
Cardon, Lon R. ;
Morris, Andrew P. ;
Zondervan, Krina T. .
NATURE PROTOCOLS, 2010, 5 (09) :1564-1573
[4]  
Baldi P., 2011, DNA microarrays and gene expression: from experiments to data analysis and modeling
[5]  
Bolstad BM., 2020, PreprocessCore: A Collection of Pre-processing Functions
[6]  
Clough E, 2016, METHODS MOL BIOL, V1418, P93, DOI 10.1007/978-1-4939-3578-9_5
[7]   Next-generation genotype imputation service and methods [J].
Das, Sayantan ;
Forer, Lukas ;
Schoenherr, Sebastian ;
Sidore, Carlo ;
Locke, Adam E. ;
Kwong, Alan ;
Vrieze, Scott I. ;
Chew, Emily Y. ;
Levy, Shawn ;
McGue, Matt ;
Schlessinger, David ;
Stambolian, Dwight ;
Loh, Po-Ru ;
Iacono, William G. ;
Swaroop, Anand ;
Scott, Laura J. ;
Cucca, Francesco ;
Kronenberg, Florian ;
Boehnke, Michael ;
Abecasis, Goncalo R. ;
Fuchsberger, Christian .
NATURE GENETICS, 2016, 48 (10) :1284-1287
[8]   MAGMA: Generalized Gene-Set Analysis of GWAS Data [J].
de Leeuw, Christiaan A. ;
Mooij, Joris M. ;
Heskes, Tom ;
Posthuma, Danielle .
PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (04)
[9]   Common variants in Alzheimer's disease and risk stratification by polygenic risk scores [J].
de Rojas, Itziar ;
Moreno-Grau, Sonia ;
Tesi, Niccolo ;
Grenier-Boley, Benjamin ;
Andrade, Victor ;
Jansen, Iris E. ;
Pedersen, Nancy L. ;
Stringa, Najada ;
Zettergren, Anna ;
Hernandez, Isabel ;
Montrreal, Laura ;
Antunez, Carmen ;
Antonell, Anna ;
Tankard, Rick M. ;
Bis, Joshua C. ;
Sims, Rebecca ;
Bellenguez, Celine ;
Quintela, Ines ;
Gonzalez-Perez, Antonio ;
Calero, Miguel ;
Franco-Macias, Emilio ;
Macias, Juan ;
Blesa, Rafael ;
Cervera-Carles, Laura ;
Menendez-Gonzalez, Manuel ;
Frank-Garcia, Ana ;
Luis Royo, Jose ;
Moreno, Fermin ;
Huerto Vilas, Raquel ;
Baquero, Miquel ;
Diez-Fairen, Monica ;
Lage, Carmen ;
Garcia-Madrona, Sebastian ;
Garcia-Gonzalez, Pablo ;
Alarcon-Martin, Emilio ;
Valero, Sergi ;
Sotolongo-Grau, Oscar ;
Ullgren, Abbe ;
Naj, Adam C. ;
Lemstra, Afina W. ;
Benaque, Alba ;
Perez-Cordon, Alba ;
Benussi, Alberto ;
Rabano, Alberto ;
Padovani, Alessandro ;
Squassina, Alessio ;
de Mendonca, Alexandre ;
Arias Pastor, Alfonso ;
Kok, Almar A. L. ;
Meggy, Alun .
NATURE COMMUNICATIONS, 2021, 12 (01)
[10]   STAR: ultrafast universal RNA-seq aligner [J].
Dobin, Alexander ;
Davis, Carrie A. ;
Schlesinger, Felix ;
Drenkow, Jorg ;
Zaleski, Chris ;
Jha, Sonali ;
Batut, Philippe ;
Chaisson, Mark ;
Gingeras, Thomas R. .
BIOINFORMATICS, 2013, 29 (01) :15-21