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.

PROmiRNA

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

The regulation of intragenic miRNAs by their own intronic promoters is one of the open problems of miRNA biogenesis. Here, we describe PROmiRNA, a new approach for miRNA promoter annotation based on a semi-supervised statistical model trained on deepCAGE data and sequence features. We validate our results with existing annotation, PolII occupancy data and read coverage from RNA-seq data.

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Orchidstra

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

A specialized orchid database, named Orchidstra (URL: http://orchidstra.abrc.sinica.edu.tw), has been constructed to collect, annotate and share genomic information for orchid functional genomics studies. The Orchidaceae is a large family of Angiosperms that exhibits extraordinary biodiversity in terms of both the number of species and their distribution worldwide.

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Carnation DB

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

The whole-genome sequence of carnation (Dianthus caryophyllus L.) cv. 'Francesco' was determined using a combination of different new-generation multiplex sequencing platforms. The total length of the non-redundant sequences was 568,887,315 bp, consisting of 45,088 scaffolds, which covered 91% of the 622 Mb carnation genome estimated by k-mer analysis. The N50 values of contigs and scaffolds were 16,644 bp and 60,737 bp, respectively, and the longest scaffold was 1,287,144 bp. The average GC content of the contig sequences was 36%.

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Average: 5 (1 vote)

OligoFaktory

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

The OligoFaktory is a set of tools for the design, on an arbitrary number of target sequences, of high-quality long oligonucleotide for micro-array, of primer pair for PCR, of siRNA and more. The user-centered interface exists in two flavours: a web portal and a standalone software for Mac OS X Tiger. A unified presentation of results provides overviews with distribution charts and relative location bar graphs, as well as detailed features for each oligonucleotide.

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miRror-Suite

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

The miRror application provides insights on microRNA (miRNA) regulation. It is based on the notion of a combinatorial regulation by an ensemble of miRNAs or genes. miRror integrates predictions from a dozen of miRNA resources that are based on complementary algorithms into a unified statistical framework. For miRNAs set as input, the online tool provides a ranked list of targets, based on set of resources selected by the user, according to their significance of being coordinately regulated. Symmetrically, a set of genes can be used as input to suggest a set of miRNAs.

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miRSel

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

MicroRNAs have been discovered as important regulators of gene expression. To identify the target genes of microRNAs, several databases and prediction algorithms have been developed. Only few experimentally confirmed microRNA targets are available in databases. Many of the microRNA targets stored in databases were derived from large-scale experiments that are considered not very reliable. We propose to use text mining of publication abstracts for extracting microRNA-gene associations including microRNA-target relations to complement current repositories.

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