miRLAB specifications

Information


Unique identifier OMICS_17702
Name miRLAB
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.10.0
Stability Stable
Requirements
AnnotationDbi, limma, gplots, BiocGenerics, RUnit, knitr, org.Hs.eg.db, GOstats, Category, Hmisc, RCurl, stringr, httr, impute, glmnet, entropy, energy, Roleswitch, pcalg
Maintained Yes

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Documentation


Maintainers


  • person_outline Thuc Le <>
  • person_outline Jiuyong Li <>

Publications for miRLAB

miRLAB in publications

 (2)
PMCID: 5579392
PMID: 28623187
DOI: 10.15252/embr.201743967

[…] ‐1n = c. the quality of the alignment was also checked by comparison with a recent alignment of box c/d sequences deposited on rfam , ., candidate box c/d snornas were used to search rmbase http://mirlab.sysu.edu.cn/rmbase/index.php in order to discover their a1n methylation status., rna oligonucleotides were synthesized using t‐bdms phosphoramidite chemistry as described in wilson et al , […]

PMCID: 4814767
PMID: 27066061
DOI: 10.3389/fpls.2016.00429

[…] the predicted number of target genes varied from one to seven. since all target genes were predicted to be regulated by transcript degradation, we further searched the tomato degradome (http://mirlab.sysu.edu.cn/starscan/scan.php; liu et al., ) to support the predicted cleavages. the analysis revealed that three of the 18 predicted target genes received the degradome data supported by high […]


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miRLAB institution(s)
School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA, Australia; School of Engineering, Dali University, Dali, Yunnan, China; Pham Ngoc Thach University of Medicine, Ho Chi Minh, Vietnam; Institute of Intelligent Machines, Heifei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
miRLAB funding source(s)
Supported by the NHMRC Grant (No: 1123042); the Australian Research Council Discovery Grant (No: DP170101306); the National Natural Science Foundation of China (No: 61702069); the Applied Basic Research Foundation of Science and Technology of Yunnan Province (No: 2017FB099); Presidential Foundation of Hefei Institutes of Physical Science, Chinese Academy of Sciences (No. YZJJ2018QN24); and Australian Government Research Training Program Scholarship.

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