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.

siDesign

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

One critical step in RNA interference (RNAi) experiments is to design small interfering RNAs (siRNAs) that can greatly reduce the expression of the target transcripts, but not of other unintended targets. Although various statistical and computational approaches have been attempted, this remains a challenge facing RNAi researchers. Here, we present a new experimentally validated method for siRNA design.

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si-shRNA Selector

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

Prediction of efficient oligonucleotides for RNA interference presents a serious challenge, especially for the development of genome-wide RNAi libraries which encounter difficulties and limitations due to ambiguities in the results and the requirement for significant computational resources. Here we present a fast and practical algorithm for shRNA design based on the thermodynamic parameters.

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miRdSNP

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

Single nucleotide polymorphisms (SNPs) can lead to the susceptibility and onset of diseases through their effects on gene expression at the posttranscriptional level. Recent findings indicate that SNPs could create, destroy, or modify the efficiency of miRNA binding to the 3'UTR of a gene, resulting in gene dysregulation. With the rapidly growing number of published disease-associated SNPs (dSNPs), there is a strong need for resources specifically recording dSNPs on the 3'UTRs and their nucleotide distance from miRNA target sites.

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wapRNA

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

mRNA/miRNA-seq technology is becoming the leading technology to globally profile gene expression and elucidate the transcriptional regulation mechanisms in living cells. Although there are many tools available for analyzing RNA-seq data, few of them are available as easy accessible online web tools for processing both mRNA and miRNA data for the RNA-seq based user community. As such, we have developed a comprehensive web application tool for processing mRNA-seq and miRNA-seq data.

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mirTools

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

miRNAs are small, non-coding RNA that negatively regulate gene expression at post-transcriptional level, which play crucial roles in various physiological and pathological processes, such as development and tumorigenesis. Although deep sequencing technologies have been applied to investigate various small RNA transcriptomes, their computational methods are far away from maturation as compared to microarray-based approaches. In this study, a comprehensive web server mirTools was developed to allow researchers to comprehensively characterize small RNA transcriptome.

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AGD

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

Autism is a highly heritable complex neurodevelopmental disorder, therefore identifying its genetic basis has been challenging. To date, numerous susceptibility genes and chromosomal abnormalities have been reported in association with autism, but most discoveries either fail to be replicated or account for a small effect. Thus, in most cases the underlying causative genetic mechanisms are not fully understood.

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