wTAM: a web server for annotation of weighted human microRNAs

Author:

Cui Chunmei1ORCID,Fan Rui1ORCID,Zhou Yuan1,Cui Qinghua1ORCID

Affiliation:

1. Department of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, China

Abstract

Abstract   It is well-known that some microRNAs (miRNAs) are more important than the others for life, hinting the wide range of miRNA in essentiality or importance. Functional enrichment analysis is a quite pervasive method to dig out the underlying biological pathway for a given gene list and several tools of miRNA set enrichment analysis have been developed. However, all those tools treat each miRNA equally and neglect the importance score of miRNA itself, which could be an obstacle to seek more insightful biological processes for researchers. Here, we developed wTAM, a tool for annotation of weighted human miRNAs, introducing the miRNA importance scores into enrichment analysis. In addition, the annotation repository has been enlarged comparing to TAM. Finally, the case study demonstrated the availability and flexibility of wTAM. Availability and implementation wTAM is freely available at http://www.cuilab.cn/wtam/. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Funder

National Key R&D Program

PKU-Baidu Fund

Natural Science Foundation of China

Peking University Basic Research Program

Publisher

Oxford University Press (OUP)

Reference11 articles.

1. Defining the importance score of human microRNAs and their single nucleotide mutants using random forest regression and sequence data;Cui,2019

2. MicroRNA databases and tools;de Amorim;Methods Mol. Biol,2022

3. An integrated expression atlas of miRNAs and their promoters in human and mouse;de Rie;Nat. Biotechnol,2017

4. Toward comprehensive functional analysis of gene lists weighted by gene essentiality scores;Fan;Bioinformatics,2021

5. MicroRNAs contribute to breast cancer invasiveness;Fridrichova;Cells,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3