Version 1.0 of the SIROCCO ADDAPTS Pipeline is now available to download. For more details see the main ADDAPTS web page.
Here is a list of tools which can be used to process data for silencing RNA. Unsure how to proceed? Try our getting started guide.
Version 1.0 of the SIROCCO ADDAPTS Pipeline is now available to download. For more details see the main ADDAPTS web page.
The SIROCCO ADDAPTS pipeline and LIMS system,will be released on 13 July 2011 on this website for general download.
http://estivill_lab.crg.es/seqbuster
SeqBuster is highly versatile and offers a wide range of options both in the
pre-analysis for annotation purposes and in the different module analysis
for data manipulation. SeqBuster includes a stand-alone version that permits the annotation against any custom database installed in the local machine independently of the web server.
It requires the R environment, in which the different analysis packages have been developed, permits the incorporation and/or modification of different types of analysis, which may be focused not only on small non-coding RNAs but alsoon any type of sequence generated in large-scale sequencing strategies. This provides a continuous evolving platform, where future analysis packages may be easily added to the repository.
SeqBuster, a bioinformatic tool for the processing and analysis of small
RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic
cells.
Pantano L, Estivill X, Martí E.
Nucleic Acids Res. 2010 Mar;38(5):e34. Epub 2009 Dec 11.
Hi all,
Here at SIMBioMS, we’ve been collecting information on what data users produce in order to be able to configure a version of our software AIMS to help with data sharing.
So far only 3 data providers have shared the required information with us so if you still need to send us your information this is the data that we require:
-Email of the person in your lab to be contacted for information about the
data files. Once initial information is obtained, we will be contacting
partners individually for more details.
-Type of data produced (i.e. Illumina short read RNA).
-Metadata associated with the data file (what extra information is attached
to the data file that is going to be shared).
-What software/tool has been used to process the data if sending raw a
process data file.
Please see attached file for information about the capture information Sirocco
You can send us an email with this information to Sirocco@ebi.ac.uk
For a preview on a test instance of AIMS please visit: http://simbioms-pub.mii.lu.lv/AIMS/
Guerra-Assunção JA, Enright AJ MapMi: automated mapping of microRNA loci. BMC Bioinformatics. 2010 Mar 16;11:133.
MapMi is a tool designed to locate miRNA precursor sequences in existing genomic sequences (e.g Ensembl and Ensembl Metazoa), using potential mature miRNA sequences as input.
After searching the genome for the provided mature sequences, these hits are extended and classified taking into account major structural properties of known miRNA precursors.
MapMi uses Bowtie and RNAfold third-party tools. Please check their websites for more details.
For more informations about the methods behind MapMi, please check the references section
For Sirocco partners we can announce the SIMBioMS is on offer for partners producing large volumes of data from high throughput sequencing techniques. Please contact Rishi Nag at rn202@cam.ac.uk if you’d like to know more.
A toolkit for analyzing large-scale animal small RNA datasets.
Tools available include
Many toolkits (for example the UEA Small Plant and Animal toolkit) require data to be provided in FASTA format. However sequence data sets from GEO often come in the SOFT format, and hence need to be converted before they can be used by the many tools used in the bioinformatic sphere.
This utility operates in two modes – it can either transform local SOFT files containing sequence data into FASTA data or, given an accession number, can fetch a dataset from GEO. It also allows the creation of a ZIP version of the newly created FASTA file and a choice or redundant or non-redundant FASTA formats.
SeqBuster is a web-based bioinformatic tool offering a custom analysis of deep sequencing data at different levels, with special emphasis on the analysis of miRNA variants or isomiRs.SeqBuster includes a stand-alone version that permits the annotation against any custom database installed in the local machine independently of the web server tool. This offers a pre-analysis that is not restricted to the databases stored in the web server, overcoming the limitations in the storage capacities detected in other web-based bioinformatic tools. The R environment in which the different analysis packages have been developed permits the incorporation and/or modification of different types of analysis, which may be focused not only on small non-coding RNAs, but also on any type of sequence generated in large-scale sequencing strategies. SeqBuster is highly versatile offering a wide range of options both in the pre-analysis for annotation purposes and in the different module analysis for data manipulation.
Click here to access the tool.
SeqBuster is developed by the Genes and Diseases Group at the Centre for Genomic Regulation (Sirocco Partner 14). It has been developed and was presented to the Sirocco at the Sirocco Conference in 2009.
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.