LnCompare: gene set feature analysis for human long non-coding RNAs

Author:

Carlevaro-Fita Joana12,Liu Leibo3,Zhou Yuan4,Zhang Shan3,Chouvardas Panagiotis12,Johnson Rory12ORCID,Li Jianwei3

Affiliation:

1. Department of BioMedical Research (DBMR), University of Bern, Bern 3008, Switzerland

2. Department of Medical Oncology, Inselspital, University Hospital and University of Bern 3010, Switzerland

3. Institute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China

4. Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China

Abstract

Abstract Interest in the biological roles of long noncoding RNAs (lncRNAs) has resulted in growing numbers of studies that produce large sets of candidate genes, for example, differentially expressed between two conditions. For sets of protein-coding genes, ontology and pathway analyses are powerful tools for generating new insights from statistical enrichment of gene features. Here we present the LnCompare web server, an equivalent resource for studying the properties of lncRNA gene sets. The Gene Set Feature Comparison mode tests for enrichment amongst a panel of quantitative and categorical features, spanning gene structure, evolutionary conservation, expression, subcellular localization, repetitive sequences and disease association. Moreover, in Similar Gene Identification mode, users may identify other lncRNAs by similarity across a defined range of features. Comprehensive results may be downloaded in tabular and graphical formats, in addition to the entire feature resource. LnCompare will empower researchers to extract useful hypotheses and candidates from lncRNA gene sets.

Funder

National Natural Science Foundation of China

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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