MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets.
Nucleic Acids Res
; 48(4): e23, 2020 02 28.
Article
en En
| MEDLINE
| ID: mdl-31956905
ABSTRACT
The diverse and growing omics data in public domains provide researchers with tremendous opportunity to extract hidden, yet undiscovered, knowledge. However, the vast majority of archived data remain unused. Here, we present MetaOmGraph (MOG), a free, open-source, standalone software for exploratory analysis of massive datasets. Researchers, without coding, can interactively visualize and evaluate data in the context of its metadata, honing-in on groups of samples or genes based on attributes such as expression values, statistical associations, metadata terms and ontology annotations. Interaction with data is easy via interactive visualizations such as line charts, box plots, scatter plots, histograms and volcano plots. Statistical analyses include co-expression analysis, differential expression analysis and differential correlation analysis, with significance tests. Researchers can send data subsets to R for additional analyses. Multithreading and indexing enable efficient big data analysis. A researcher can create new MOG projects from any numerical data; or explore an existing MOG project. MOG projects, with history of explorations, can be saved and shared. We illustrate MOG by case studies of large curated datasets from human cancer RNA-Seq, where we identify novel putative biomarker genes in different tumors, and microarray and metabolomics data from Arabidopsis thaliana. MOG executable and code http//metnetweb.gdcb.iastate.edu/ and https//github.com/urmi-21/MetaOmGraph/.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Regulación de la Expresión Génica
/
Perfilación de la Expresión Génica
/
Macrodatos
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Nucleic Acids Res
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos