Panomicon: A web-based environment for interactive, visual analysis of multi-omics data
Autor: | Yosui Nojima, Rodolfo S. Allendes Osorio, Yuji Kosugi, Kenji Mizuguchi, Yayoi Natsume-Kitatani, Johan Nyström-Persson |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Bioinformatics Article Computational biology Interactive analysis 03 medical and health sciences Upload 0302 clinical medicine Software Interactive visual analysis Genetics Web application lcsh:Social sciences (General) Cluster analysis lcsh:Science (General) Visualization Multi-omics Multidisciplinary microRNA business.industry Gene networks Data science 030104 developmental biology Gene interactions Software deployment lcsh:H1-99 Lung cancer business Host (network) 030217 neurology & neurosurgery lcsh:Q1-390 |
Zdroj: | Heliyon, Vol 6, Iss 8, Pp e04618-(2020) Heliyon |
ISSN: | 2405-8440 |
Popis: | Multi-omics analyses, combining transcriptomics, genomics, proteomics, and so on, have led to important insights in many areas of biology and medicine. To support these analyses, software that can handle the difficulties associated with multi-omics datasets is crucial. Here, we describe Panomicon, a web-based, interactive analysis environment for multi-omics data. Building on Toxygates, a tool previously created to study single-omics data that features interactive clustering, heatmaps, and user data uploads, Panomicon introduces improvements for the storage and handling of additional omics types, as well as tools for the generation and visualization of interaction networks between different types of omics data. Panomicon is a new type of environment for the collaborative study of multi-omics data, both for users uploading data to our server and for groups wishing to host their own deployment of Panomicon. We demonstrate Panomicon's capabilities by revisiting a microRNA-mRNA interaction networks study in a non-small cell lung cancer dataset. Bioinformatics; Computational Biology; Genetics; gene networks; multi-omics; microRNA; visualization; interactive analysis; gene interactions; lung cancer |
Databáze: | OpenAIRE |
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