Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform.

Abstract:

:We present Knowledge Engine for Genomics (KnowEnG), a free-to-use computational system for analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools for popular bioinformatics tasks such as gene prioritization, sample clustering, gene set analysis, and expression signature analysis. The system specializes in "knowledge-guided" data mining and machine learning algorithms, in which user-provided data are analyzed in light of prior information about genes, aggregated from numerous knowledge bases and encoded in a massive "Knowledge Network." KnowEnG adheres to "FAIR" principles (findable, accessible, interoperable, and reuseable): its tools are easily portable to diverse computing environments, run on the cloud for scalable and cost-effective execution, and are interoperable with other computing platforms. The analysis tools are made available through multiple access modes, including a web portal with specialized visualization modules. We demonstrate the KnowEnG system's potential value in democratization of advanced tools for the modern genomics era through several case studies that use its tools to recreate and expand upon the published analysis of cancer data sets.

journal_name

PLoS Biol

journal_title

PLoS biology

authors

Blatti C 3rd,Emad A,Berry MJ,Gatzke L,Epstein M,Lanier D,Rizal P,Ge J,Liao X,Sobh O,Lambert M,Post CS,Xiao J,Groves P,Epstein AT,Chen X,Srinivasan S,Lehnert E,Kalari KR,Wang L,Weinshilboum RM,Song JS,Jongeneel

doi

10.1371/journal.pbio.3000583

subject

Has Abstract

pub_date

2020-01-23 00:00:00

pages

e3000583

issue

1

eissn

1544-9173

issn

1545-7885

pii

PBIOLOGY-D-19-01524

journal_volume

18

pub_type

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