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.

DIANA-microT

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Computational microRNA (miRNA) target prediction is one of the key means for deciphering the role of miRNAs in development and disease. Here, we present the DIANA-microT web server as the user interface to the DIANA-microT 3.0 miRNA target prediction algorithm. The web server provides extensive information for predicted miRNA:target gene interactions with a user-friendly interface, providing extensive connectivity to online biological resources.

Rating: 
Average: 5 (1 vote)

miR2Disease

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

'miR2Disease', a manually curated database, aims at providing a comprehensive resource of microRNA deregulation in various human diseases. The current version of miR2Disease documents 1939 curated relationships between 299 human microRNAs and 94 human diseases by reviewing more than 600 published papers. Around one-seventh of the microRNA-disease relationships represent the pathogenic roles of deregulated microRNA in human disease.

Rating: 
5
Average: 5 (3 votes)

starBase

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regulatory target genes remains technically challenging. Recently, high-throughput CLIP-Seq and degradome sequencing (Degradome-Seq) methods have been applied to identify the sites of Argonaute interaction and miRNA cleavage sites, respectively.

Rating: 
5
Average: 5 (2 votes)

ASRP

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Eukaryotes produce functionally diverse classes of small RNAs (20-25 nt). These include microRNAs (miRNAs), which act as regulatory factors during growth and development, and short-interfering RNAs (siRNAs), which function in several epigenetic and post-transcriptional silencing systems. The Arabidopsis Small RNA Project (ASRP) seeks to characterize and functionally analyze the major classes of endogenous small RNAs in plants. The ASRP database provides a repository for sequences of small RNAs cloned from various Arabidopsis genotypes and tissues.

Rating: 
Average: 5 (1 vote)

miRTarBase

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

MicroRNAs (miRNAs), i.e. small non-coding RNA molecules (~22nt), can bind to one or more target sites on a gene transcript to negatively regulate protein expression, subsequently controlling many cellular mechanisms. A current and curated collection of miRNA-target interactions (MTIs) with experimental support is essential to thoroughly elucidating miRNA functions under different conditions and in different species.

Rating: 
Average: 5 (1 vote)

DIANA-miRPath

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

DIANA-mirPath is a web-based computational tool developed to identify molecular pathways potentially altered by the expression of single or multiple microRNAs. The software performs an enrichment analysis of multiple microRNA target genes comparing each set of microRNA targets to all known KEGG pathways. The combinatorial effect of co-expressed microRNAs in the modulation of a given pathway is taken into account by the simultaneous analysis of multiple microRNAs.

Rating: 
4
Average: 4 (1 vote)

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