About: Kaleidoscope: A New Bioinformatics Pipeline Web Application for In Silico Hypothesis Exploration of Omics Signatures

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Kaleidoscope: A New Bioinformatics Pipeline Web Application for In Silico Hypothesis Exploration of Omics Signatures
Creator	Zhang, Xiaolu Meller, Jarek Funk, Adam Mccullumsmith, Robert O'donovan, Sinead Abel, Mackenzie Alganem, Khaled Asgariroozbehani, Roshanak Au-Yeung, Christy Eby, Hunter Hahn, Margaret Lee, Jiwon Mcintyre, William Panda, Roshni Shukla, Rammohan
Source	BioRxiv
abstract	Background In silico data exploration is a key first step of exploring a research question. There are many publicly available databases and tools that offer appealing features to help with such a task. However, many applications lack exposure or are constrained with unfriendly or outdated user interfaces. Thus, it follows that there are many resources that are relevant to investigation of medical disorders that are underutilized. Results We developed an R Shiny web application, called Kaleidoscope, to address this challenge. The application offers access to several omics databases and tools to let users explore research questions in silico. The application is designed to be user- friendly with a unified user interface, while also scalable by offering the option of uploading user-defined datasets. We demonstrate the application features with a starting query of a single gene (Disrupted in schizophrenia 1, DISC1) to assess its protein-protein interactions network. We then explore expression levels of the gene network across tissues and cell types in the brain, as well as across 34 schizophrenia versus control differential gene expression datasets. Conclusion Kaleidoscope provides easy access to several databases and tools under a unified user interface to explore research questions in silico. The web application is open-source and freely available at https://kalganem.shinyapps.io/Kaleidoscope/. This application streamlines the process of in silico data exploration for users and expands the efficient use of these tools to stakeholders without specific bioinformatics expertise.
has issue date	2020-05-02(xsd:dateTime)
bibo:doi	10.1101/2020.05.01.070805
has license	biorxiv
sha1sum (hex)	11904786e3ff44926687e40f937e128b1cee43ce
schema:url	https://doi.org/10.1101/2020.05.01.070805
resource representing a document's title	Kaleidoscope: A New Bioinformatics Pipeline Web Application for In Silico Hypothesis Exploration of Omics Signatures
schema:publication	bioRxiv
resource representing a document's body	covid:11904786e3ff44926687e40f937e128b1cee43ce#body_text
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