BlastR-fast and accurate database searches for non-coding RNAs

被引:23
|
作者
Bussotti, Giovanni [1 ,2 ]
Raineri, Emanuele [1 ,2 ,3 ]
Erb, Ionas [1 ,2 ]
Zytnicki, Matthias [1 ,2 ,4 ]
Wilm, Andreas [5 ]
Beaudoing, Emmanuel [1 ,2 ,6 ]
Bucher, Philipp [7 ,8 ]
Notredame, Cedric [1 ,2 ]
机构
[1] CRG, Bioinformat & Genom Program, Barcelona 08003, Spain
[2] UPF, Barcelona 08003, Spain
[3] CNAG Ctr Nacl Anal Genom, E-08028 Barcelona, Spain
[4] URGI INRA Versailles, Dept Plant Breeding & Genet, F-78026 Versailles, France
[5] Univ Coll Dublin, Conway Inst Biomol & Biomed Sci, Dublin 4, Ireland
[6] Univ Lausanne, Ctr Integrat Genom, Genom Technol Facil, CH-1015 Lausanne, Switzerland
[7] Ecole Polytech Fed Lausanne, ISREC, Sch Life Sci, CH-1015 Lausanne, Switzerland
[8] SIB, CH-1015 Lausanne, Switzerland
基金
新加坡国家研究基金会;
关键词
SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; NUCLEOTIDE; IDENTIFICATION; SUBSTITUTION; ALGORITHM; EVOLUTION; HOMOLOGS; ELEMENTS; MODELS;
D O I
10.1093/nar/gkr335
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We present and validate BlastR, a method for efficiently and accurately searching non-coding RNAs. Our approach relies on the comparison of di-nucleotides using BlosumR, a new log-odd substitution matrix. In order to use BlosumR for comparison, we recoded RNA sequences into protein-like sequences. We then showed that BlosumR can be used along with the BlastP algorithm in order to search non-coding RNA sequences. Using Rfam as a gold standard, we benchmarked this approach and show BlastR to be more sensitive than BlastN. We also show that BlastR is both faster and more sensitive than BlastP used with a single nucleotide log-odd substitution matrix. BlastR, when used in combination with WU-BlastP, is about 5% more accurate than WU-BlastN and about 50 times slower. The approach shown here is equally effective when combined with the NCBI-Blast package. The software is an open source freeware available from www.tcoffee.org/blastr.html.
引用
收藏
页码:6886 / 6895
页数:10
相关论文
共 50 条
  • [31] RNAdb 2.0-an expanded database of mammalian non-coding RNAs
    Pang, Ken C.
    Stephen, Stuart
    Dinger, Marcel E.
    Engstrom, Par G.
    Lenhard, Boris
    Mattick, John S.
    NUCLEIC ACIDS RESEARCH, 2007, 35 : D178 - D182
  • [32] HDncRNA: a comprehensive database of non-coding RNAs associated with heart diseases
    Wang, Wen-Jing
    Wang, Yu-Mei
    Hu, Yi
    Lin, Qin
    Chen, Rou
    Liu, Huan
    Cao, Wen-Ze
    Zhu, Hui-Fang
    Tong, Chang
    Li, Li
    Peng, Lu-Ying
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2018,
  • [33] Non-Coding RNAs in Glioma
    Rynkeviciene, Ryte
    Simiene, Julija
    Strainiene, Egle
    Stankevicius, Vaidotas
    Usinskiene, Jurgita
    Kaubriene, Edita Miseikyte
    Meskinyte, Ingrida
    Cicenas, Jonas
    Suziedelis, Kestutis
    CANCERS, 2019, 11 (01)
  • [34] Non-Coding RNAs and Adipogenesis
    Ru, Wenxiu
    Zhang, Sihuan
    Liu, Jianyong
    Liu, Wujun
    Huang, Bizhi
    Chen, Hong
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (12)
  • [35] The non-coding RNAs as riboregulators
    Erdmann, VA
    Barciszewska, MZ
    Szymanski, M
    Hochberg, A
    de Groot, N
    Barciszewski, J
    NUCLEIC ACIDS RESEARCH, 2001, 29 (01) : 189 - 193
  • [36] Non-coding RNAs and diseases
    Y. Huang
    J. P. Wang
    X. L. Yu
    Z. B. Wang
    T. S. Xu
    X. C. Cheng
    Molecular Biology, 2013, 47 : 465 - 475
  • [37] Non-coding RNAs and diseases
    Huang, Y.
    Wang, J. P.
    Yu, X. L.
    Wang, Z. B.
    Xu, T. S.
    Cheng, X. C.
    MOLECULAR BIOLOGY, 2013, 47 (04) : 465 - 475
  • [38] Non-coding RNAs and retroviruses
    Xu Zhang
    Xiancai Ma
    Shuliang Jing
    Hui Zhang
    Yijun Zhang
    Retrovirology, 15
  • [39] Non-coding RNAs in ageing
    Thum, T.
    AGEING RESEARCH REVIEWS, 2014, 17 : 1 - 2
  • [40] Non-Coding RNAs and Cancer
    Calore, Federica
    Lovat, Francesca
    Garofalo, Michela
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2013, 14 (08): : 17085 - 17110