Overview

miRToolsGallery is a database of miRNA tools. It provides the following services: (a) Search(b) Filter and (c) Rank the tools. Our database aim to make it easy for researchers to find the right tools or data source for their own specific study in miRNA field. And it’s also very convenient for writing a tools review paper. Now we have collect above 1000 tools. miRToolsGallery will update when every new 100 tools add in. The first public online was in 1st Oct, 2016, and latest update time is 22nd April, 2018(v1.2). 

  • Filter and Rank : Give user max flexibility to filter and rank the tools and return a table view.
  • Tutorials : Give two application examples and tell user how to use miRToolsGallery.
  • Tags Gallery : Print Word Cloud for the tags.
  • Logo Gallery : Randomly list logo of tools in the database, give each tool evenly opportunity to be find by user.  
  • Review Paper Gallery : List the collection of miRNA tools review papers.
  • Submit Tools : We still need all user's kindly help to improve the miRToolsGallery.
  • Contact us : User can get in touch with us through this page to send feedback.

mrsFAST

Submitted by ChenLiang on Sun, 09/10/2017 - 17:15

Abstract is not available.[1]

Rating: 
Average: 5 (1 vote)

MotifMap-RNA

Submitted by ChenLiang on Sun, 09/10/2017 - 17:15

RNA plays a critical role in gene expression and its regulation. RNA binding proteins (RBPs), in turn, are important regulators of RNA. Thanks to the availability of large scale data for RBP binding motifs and in vivo binding sites results in the form of eCLIP experiments, it is now possible to computationally predict RBP binding sites across the whole genome.
We describe MotifMap-RNA, an extension of MotifMap which predicts binding sites for RBP motifs across human and mouse genomes and allows large scale querying of predicted binding sites.

Rating: 
Average: 5 (1 vote)

MLSeq

Submitted by ChenLiang on Sun, 09/10/2017 - 17:14

RNA sequencing (RNA-Seq) is a powerful technique for the gene-expression profiling of organisms that uses the capabilities of next-generation sequencing technologies. Developing gene-expression-based classification algorithms is an emerging powerful method for diagnosis, disease classification and monitoring at molecular level, as well as providing potential markers of diseases. Most of the statistical methods proposed for the classification of gene-expression data are either based on a continuous scale (eg. microarray data) or require a normal distribution assumption.

Rating: 
Average: 4 (1 vote)

lncRInter

Submitted by ChenLiang on Sun, 09/10/2017 - 17:12

Abstract is not available.[1]

 

 

 

 

Rating: 
Average: 5 (1 vote)

isomiR2Function

Submitted by ChenLiang on Sun, 09/10/2017 - 17:11

In plants, post transcriptional regulation by non-coding RNAs (ncRNAs), in particular miRNAs (19-24 nt) has been involved in modulating the transcriptional landscape in developmental, biotic and abiotic interactions. In past few years, considerable focus has been leveraged on delineating and deciphering the role of miRNAs and their canonical isomiRs in plants. However, proper classification and accurate prediction of plant isomiRs taking into account the relative features by which we define isomiRs, such as templated or non-templated is still lacking.

Rating: 
Average: 5 (1 vote)

isomiR-Benchmark

Submitted by ChenLiang on Sun, 09/10/2017 - 17:10

MicroRNAs carry out post-transcriptional gene regulation in animals by binding to the 3' untranslated regions of mRNAs, causing their degradation or translational repression. MicroRNAs influence many biological functions, and dysregulation can therefore disrupt development or even cause death. High-throughput sequencing and the mining of animal small RNA data has shown that microRNA genes can yield differentially expressed isoforms, known as isomiRs.

Rating: 
Average: 5 (1 vote)

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