Lirex: A Package for Identification of Long Inverted Repeats in Genomes
文献类型:期刊论文
作者 | Wang, Yong![]() ![]() |
刊名 | GENOMICS PROTEOMICS & BIOINFORMATICS
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出版日期 | 2017-04-01 |
卷号 | 15期号:2页码:141-146 |
DOI | 10.1016/j.gpb.2017.01.005 |
产权排序 | 第1完成单位 |
文献子类 | Article |
英文摘要 | Long inverted repeats (LIRs) are evolutionarily and functionally important structures in genomes because of their involvement in RNA interference, DNA recombination, and gene duplication. Identification of LIRs is highly complicated when mismatches and indels between the repeats are permitted. Long inverted repeat explorer (Lirex) was developed and introduced in this report. Written in Java, Lirex provides a user-friendly interface and allows users to specify LIR searching criteria, such as length of the region, as well as pattern and size of the repeats. Recombinogenic LIRs can be selected on the basis of mismatch rate and internal spacer size from identified LIRs. Lirex, as a cross-platform tool to identify LIRs in a genome, may assist in designing following experiments to explore the function of LIRs. Our tool can identify more LIRs than other LIR searching tools. Lirex is publicly available at http://124.16.219.129/Lirex. |
URL标识 | 查看原文 |
语种 | 英语 |
WOS记录号 | WOS:000401309200010 |
源URL | [http://ir.idsse.ac.cn/handle/183446/4762] ![]() |
专题 | 深海科学研究部_深海生物学研究室_海洋微生物宏基因组与分子进化研究组 |
通讯作者 | Wang, Yong; Wang, Yong(Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China) |
作者单位 | Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yong,Wang, Yong,Huang, Jiao-Mei. Lirex: A Package for Identification of Long Inverted Repeats in Genomes[J]. GENOMICS PROTEOMICS & BIOINFORMATICS,2017,15(2):141-146. |
APA | Wang, Yong,Wang, Yong,&Huang, Jiao-Mei.(2017).Lirex: A Package for Identification of Long Inverted Repeats in Genomes.GENOMICS PROTEOMICS & BIOINFORMATICS,15(2),141-146. |
MLA | Wang, Yong,et al."Lirex: A Package for Identification of Long Inverted Repeats in Genomes".GENOMICS PROTEOMICS & BIOINFORMATICS 15.2(2017):141-146. |
入库方式: OAI收割
来源:深海科学与工程研究所
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