Welcome

The Sirocco Animitap microRNA Target Prediction Aggregator website has been developed to allow the comparison of results from a number of microRNA target prediction tools, and/or the same algorithm in parallel with varying parameters to compare outputs.

The Animitap system has been launched with the ability to run Miranda and RNAHybrid, with others to follow. These programs have been compiled from provided sources. Each algorithm is presented to the user in a basic mode for default options (to assist the novice user), or with a full set of command line features made available to the user.

The users data is uploaded in FASTA format and then queued to run on the server. After each algorithm has run to completion the Animitap system sends an email to the user with a link where the user can download the results file with a copy of the program command line for archiving purposes and/or an error log if appropriate.

To use this system you will need

Click here to get started or read more details of these programs are listed below

There are 5 options available on the system.

Miranda

Finds potential target sites for miRNAs in a genomic sequence

MicroRNA targets in Drosophila, Enright AJ, John B, Gaul U, Tuschl T, Sander C and Marks DS; (2003) Genome Biology; 5(1):R1

Miranda (Basic)

Finds potential target sites for miRNAs in a genomic sequence. This mode turns off all options and may be more suitable for a beginner.

MicroRNA targets in Drosophila, Enright AJ, John B, Gaul U, Tuschl T, Sander C and Marks DS; (2003) Genome Biology; 5(1):R1

RNAhybrid (Standard)

RNAhybrid is a tool for finding the minimum free energy hybridisation of a long and a short RNA.

Fast and effective prediction of microRNA/target duplexes
Marc Rehmsmeier *, Peter Steffen, Matthias Hăchsmann, Robert Giegerich
in RNA, 10:1507-1517, 2004.

RNAhybrid (Basic)

RNAhybrid is a tool for finding the minimum free energy hybridisation of a long and a short RNA.

Fast and effective prediction of microRNA/target duplexes
Marc Rehmsmeier *, Peter Steffen, Matthias Hăchsmann, Robert Giegerich
in RNA, 10:1507-1517, 2004.

FastCompare KMer Matching

Beta:The addition of this tool is currently in ongoing.

See if your novel microRNA sequences contain short sequences identified as containing a highly conserved short sequence.

Chan CS, Elemento O, Tavazoie S (2005) Revealing posttranscriptional regulatory elements through network-level conservation. PLoS Comput Biol 1(7): e69.