iNetModels 2.0: an interactive visualization and database of multi-omics data
By
Muhammad Arif,
Cheng Zhang,
Xiangyu Li,
Cem Güngör,
Buğra Çakmak,
Metin Arslantürk,
Abdellah Tebani,
Berkay Özcan,
Oğuzhan Subaş,
Wenyu Zhou,
Brian Piening,
Hasan Turkez,
Linn Fagerberg,
Nathan Price,
Leroy Hood,
Michael Snyder,
Jens Nielsen,
Mathias Uhlen,
Adil Mardinoglu
Posted 08 Jun 2019
bioRxiv DOI: 10.1101/662502
It is essential to reveal the associations between different omics data for a comprehensive understanding of the altered biological process in human wellness and disease. To date, very few studies have focused on collecting and exhibiting multi-omics associations in a single database. Here, we present iNetModels, an interactive database and visualization platform of Multi-Omics Biological Networks (MOBNs). This platform describes the associations between the clinical chemistry, anthropometric parameters, plasma proteomics and metabolomics as well as metagenomics for oral and gut microbiome obtained from the same individuals. Moreover, iNetModels includes tissue- and cancer-specific Gene Co-expression Networks (GCNs) for exploring the connections between the specific genes. This platform allows the user to interactively explore a single feature's association with other omics data and customize its particular context (e.g. male/female specific). The users can also register their own data for sharing and visualization of the MOBNs and GCNs. Moreover, iNetModels allows users who do not have a bioinformatics background to facilitate human wellness and diseases research. iNetModels can be accessed freely at https://inetmodels.com without any limitation.
Download data
- Downloaded 1,443 times
- Download rankings, all-time:
- Site-wide: 19,414
- In bioinformatics: 2,105
- Year to date:
- Site-wide: 63,247
- Since beginning of last month:
- Site-wide: 25,332
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!