ComiR: combinatorial microRNA target prediction tool

被引:147
作者
Coronnello, Claudia [1 ,2 ,3 ]
Benos, Panayiotis V. [3 ]
机构
[1] Fdn Ri MED, I-90133 Palermo, Italy
[2] CNR, Inst Biomed & Mol Immunol Alberto Monroy IBIM, I-90146 Palermo, Italy
[3] Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
IDENTIFICATION;
D O I
10.1093/nar/gkt379
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
ComiR is a web tool for combinatorial microRNA (miRNA) target prediction. Given an messenger RNA (mRNA) in human, mouse, fly or worm genomes, ComiR computes the potential of being targeted by a set of miRNAs, each of which can have zero, one or more targets on its 3'untranslated region. In determining the regulatory potential of an mRNA from a set of miRNAs, ComiR uses user-provided miRNA expression levels in a combination of appropriate thermodynamic modeling and machine learning techniques to make more accurate predictions. For each gene, ComiR returns the probability of being a functional target of a set of miRNAs, which depends on the relative miRNA expression levels. The tool provides a user-friendly interface to input a miRNA expression table containing many sample information and filter out the most relevant miRNAs. ComiR results can be downloaded or visualized on a table, which can then be used to select the most relevant targets and to compare the results obtained with different miRNA expression input. ComiR is freely available for academic use at http://www.benoslab.pitt.edu/comir/.
引用
收藏
页码:W159 / W164
页数:6
相关论文
共 21 条
[1]
Target mRNA abundance dilutes microRNA and siRNA activity [J].
Arvey, Aaron ;
Larsson, Erik ;
Sander, Chris ;
Leslie, Christina S. ;
Marks, Debora S. .
MOLECULAR SYSTEMS BIOLOGY, 2010, 6
[2]
TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples [J].
Bandyopadhyay, Sanghamitra ;
Mitra, Ramkrishna .
BIOINFORMATICS, 2009, 25 (20) :2625-2631
[3]
MicroRNAs: Genomics, biogenesis, mechanism, and function (Reprinted from Cell, vol 116, pg 281-297, 2004) [J].
Bartel, David P. .
CELL, 2007, 131 (04) :11-29
[4]
Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites [J].
Betel, Doron ;
Koppal, Anjali ;
Agius, Phaedra ;
Sander, Chris ;
Leslie, Christina .
GENOME BIOLOGY, 2010, 11 (08)
[5]
Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps [J].
Chi, Sung Wook ;
Zang, Julie B. ;
Mele, Aldo ;
Darnell, Robert B. .
NATURE, 2009, 460 (7254) :479-486
[6]
Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density [J].
Coronnello, Claudia ;
Hartmaier, Ryan ;
Arora, Arshi ;
Huleihel, Luai ;
Pandit, Kusum V. ;
Bais, Abha S. ;
Butterworth, Michael ;
Kaminski, Naftali ;
Stormo, Gary D. ;
Oesterreich, Steffi ;
Benos, Panayiotis V. .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (12)
[7]
Enright AJ, 2004, GENOME BIOL, V5
[8]
Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP [J].
Hafner, Markus ;
Landthaler, Markus ;
Burger, Lukas ;
Khorshid, Mohsen ;
Hausser, Jean ;
Berninger, Philipp ;
Rothballer, Andrea ;
Ascano, Manuel, Jr. ;
Jungkamp, Anna-Carina ;
Munschauer, Mathias ;
Ulrich, Alexander ;
Wardle, Greg S. ;
Dewell, Scott ;
Zavolan, Mihaela ;
Tuschl, Thomas .
CELL, 2010, 141 (01) :129-141
[9]
mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts [J].
Hammell, Molly ;
Long, Dang ;
Zhang, Liang ;
Lee, Andrew ;
Carmack, C. Steven ;
Han, Min ;
Ding, Ye ;
Ambros, Victor .
NATURE METHODS, 2008, 5 (09) :813-819
[10]
Immunopurification of Ago1 miRNPs selects for a distinct class of microRNA targets [J].
Hong, Xin ;
Hammell, Molly ;
Ambros, Victor ;
Cohen, Stephen M. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (35) :15085-15090