LncPipe＂ A Nextflow-based pipeline for identification and analysis of long non-coding RNAs from RNA-Seq data

作     者：Qi Zhao Yu Sun Dawei Wang Hongwan Zhang Kai Yu Jian Zheng Zhixiang Zuo 

作者机构：State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat-sen University Cancer CenterGuangdong 510060China School of Environmental Science and EngineeringSun Yat-sen UniversityGuangzhou 510060China Department of Thoracic SurgeryChina Meitan General HospitalBeijing 100028China 

出 版 物：《Journal of Genetics and Genomics》 (遗传学报（英文版）)

年 卷 期：2018年第45卷第7期

页      面：399-401页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 

基　　金：supported by grants from the National Key R&D Program of China (2017YFA0106700) National Natural Science Foundation of China (81772614, U1611261, 81772586 and 81602461) China Postdoctoral Science Foundation (2017M610573) Young Elite Scientists Sponsorship Program by CAST (2017QNRC001) Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2017, to J. Zheng) Fundamental Research Funds for the Central Universities (SYSU:17ykzd32) 

主　　题：LncPipe" A Nextflow-based pipeline identification analysis of long non-coding RNAs RNA-Seq data 

摘      要：Long noncoding RNAs （IncRNAs） have been increasingly implicated in a variety of human diseases, including autoimmune disease （Wu et al., 2015）, neurodegenerative diseases （Wapinski and Chang, 2011） and cancer （Huarte, 2015）. Due to recent advances in next-generation sequencing technologies, tens of thousands of lncRNAs have been identified and annotated, a number of them have been proven to be functional in diverse biological processes through various mechanisms.