Unknown

Dataset Information

0

Systematic prediction of gene function in Arabidopsis thaliana using a probabilistic functional gene network.


ABSTRACT: AraNet is a functional gene network for the reference plant Arabidopsis and has been constructed in order to identify new genes associated with plant traits. It is highly predictive for diverse biological pathways and can be used to prioritize genes for functional screens. Moreover, AraNet provides a web-based tool with which plant biologists can efficiently discover novel functions of Arabidopsis genes (http://www.functionalnet.org/aranet/). This protocol explains how to conduct network-based prediction of gene functions using AraNet and how to interpret the prediction results. Functional discovery in plant biology is facilitated by combining candidate prioritization by AraNet with focused experimental tests.

SUBMITTER: Hwang S 

PROVIDER: S-EPMC3654671 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Systematic prediction of gene function in Arabidopsis thaliana using a probabilistic functional gene network.

Hwang Sohyun S   Rhee Seung Y SY   Marcotte Edward M EM   Lee Insuk I  

Nature protocols 20110825 9


AraNet is a functional gene network for the reference plant Arabidopsis and has been constructed in order to identify new genes associated with plant traits. It is highly predictive for diverse biological pathways and can be used to prioritize genes for functional screens. Moreover, AraNet provides a web-based tool with which plant biologists can efficiently discover novel functions of Arabidopsis genes (http://www.functionalnet.org/aranet/). This protocol explains how to conduct network-based p  ...[more]

Similar Datasets

| S-EPMC6943727 | biostudies-literature
| S-EPMC2213690 | biostudies-literature
| S-EPMC1855069 | biostudies-literature
| S-EPMC2857375 | biostudies-literature
| S-EPMC4596684 | biostudies-literature
| S-EPMC3137602 | biostudies-literature
| S-EPMC3490714 | biostudies-literature
| S-EPMC4055858 | biostudies-literature
| S-EPMC5601042 | biostudies-literature
| S-EPMC7996555 | biostudies-literature