Interactive gene networks with KNIT

D S Magruder; A M Liebhoff; J Bethune; S Bonn

doi:10.1093/bioinformatics/btaa1107

Interactive gene networks with KNIT

Bioinformatics. 2021 Apr 19;37(2):276-278. doi: 10.1093/bioinformatics/btaa1107.

Authors

D S Magruder^{1

2}, A M Liebhoff¹, J Bethune¹, S Bonn¹

Affiliations

¹ Institute for Medical Systems Biology, bAIome - Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
² Genevention GmbH, 37079 Goettingen, Germany.

PMID: 33416865
DOI: 10.1093/bioinformatics/btaa1107

Abstract

Summary: KNIT is a web application that provides a hierarchical, directed graph on how a set of genes is connected to a particular gene of interest. Its primary aim is to aid researchers in discerning direct from indirect effects that a gene might have on the expression of other genes and molecular pathways, a very common problem in omics analysis. As such, KNIT provides deep contextual information for experiments where gene or protein expression might be changed, such as gene knock-out and overexpression experiments.

Availability and implementation: KNIT is publicly available at http://knit.ims.bio. It is implemented with Django and Nuxtjs, with all major browsers supported.

Supplementary information: Supplementary data are available at Bioinformatics online.