Welcome
This web server provides online access to a series of tools developed by the Freiburg Bioinformatics Group. To start using it, please select from the listings below, or use the menu on the left. If you prefer doing a local installation on your machine, please visit our 'Download' section.
If you use our tools for research or education, please cite the corresponding articles from the 'Publications' section.
Version 5.0.12
Freiburg RNA Tools
			Freiburg RNA tools provides 
		online access to a series of RNA research tools developed by the 
		Freiburg Bioinformatics Group and colleagues for 
		sequence-structure alignments (LocARNA, CARNA, MARNA), 
		clustering (ExpaRNA), 
		interaction prediction (IntaRNA, CopraRNA, metaMIR), 
		identification of homologs (GLASSgo),
		sequence design (AntaRNA, INFORNA, SECISDesign), 
		CRISPR repeat analyses (CRISPRmap),
		and many more tasks.
		
		
		 
		Interaction Prediction
CopraRNA is a tool for sRNA target prediction. It computes whole genome 
predictions by combination of whole genome IntaRNA 
predictions using homologous sRNA sequences from distinct organisms.
		
		IntaRNA enables the prediction of RNA-RNA interactions. It has 
been designed to predict mRNA target sites for given non-coding RNAs 
(ncRNAs) like eukaryotic microRNAs (miRNAs) or bacterial small RNAs 
(sRNAs), but it can also be used to predict other types of RNA-RNA 
interactions.
		
		GLASSgo (GLobal Automated sRNA Search go) combines iterative BLAST 
searches, pairwise identity filtering, and structure based 
clustering in an automated prediction pipeline to find sRNA 
homologs from scratch. The web server provides 
predefined parameter sets for a non-expert usage  
as well as enables a manual setup of the query parameters.
		
		metaMIR is a microRNA (miRNA) framework to predict 
interactions in human between miRNAs and clusters of genes. The user 
provides a set of genes to be targeted, and optionally genes not to
be targeted. Taking data from a reference database of previously 
established predictive algorithms, metaMIR will return miRNA 
candidates predicted to co-regulate genes among those entered by 
analyzing all possible subset combinations.
		
		Seq-Str Alignment
LocARNA computes multiple alignments of RNAs based on their sequence and
structure similarity. In contrast to, e.g. MARNA, it considers the whole
ensemble of secondary structures for each RNA. Thus, LocARNA aligns RNAs
with unknown structure and predicts a consensus secondary structure for
a set of unaligned RNAs. Specification of additional
constraints or even enforcement of fixed input structures is possible.
LocARNA is best suited to compare structural RNAs, in particular, of low sequence similarity.
		
		Carna is a tool for multiple alignment of RNA molecules based on their full 
ensembles of structures. Carna computes the alignment that fits best to all likely structures 
simultaneously. Hence, Carna is in particular useful to align RNAs 
with more than one stable structure, as for example riboswitches, 
and is able to align arbitrary pseudoknots.
		
		MARNA computes multiple sequence-structure alignments considering
a single fixed structure for each sequence only.
		
		ExpaRNA is a fast, motif-based comparison and alignment tool for RNA molecules.
Instead of computing a full sequence-structure alignment, it computes the best
arrangement of sequence-structure motifs common to two RNAs.
		
		CRISPR
CRISPRmap provides a quick and detailed
insight into repeat conservation and diversity of both bacterial 
and archaeal systems. It comprises the largest dataset of CRISPRs 
to date and enables comprehensive independent clustering analyses 
to determine conserved sequence families, potential structure 
motifs for endoribonucleases, and evolutionary relationships.
		
		CRISPRloci provides an automated and comprehensive in silico characteriztion
of CRISPR-Cas system on bacterial and archaeal genomes. It is a full suite for CRISPR 
locus characteriztion that includes CRISPR array orientation, detection of conserved leaders, 
cas gene annotation and subtype classification.
		
		Sequence Design
AntaRNA is an Ant-Colony Optimization based tool which solves the RNA inverse
folding problem. It designs RNA sequences which satisfy a set of
constraints made by the user. The realized multi-objective optimization allows
to introduce structure, sequence and GC-content constraints.
		
		INFO-RNA is a server for the design of RNA sequences that fold into 
a given pseudo-knot free RNA secondary structure.
		
		SECISDesign is a server for the design of SECIS-elements within the coding sequence of an
mRNA with both structure and sequence constraints. Furthermore, a certain similarity to the 
original protein is kept. It can be used e.g. for recombinant expression of selenoproteins in E. coli.
		
		Splicing
NIPU allows to display splicing regulatory motifs and single-stranded regions.
		
		SNP & Mutation
CopomuS rates and ranks possible compensatory mutations of IntaRNA predictions
				to support the design of verification experiments for putative RNA-RNA interactions.
		
		MutaRNA (Mutational Analysis of RNAs) predicts and visualizes the mutation-induced 
			structure changes of a single-nucleotide polymorphism (SNP) in an RNA sequence.
			This covers changes in the accessibility (single-strandedness) of the molecule,
			its intra-molecular base pairing potential and its the base pairing probabilities.
			Combined with evaluation results of tools like remuRNA and RNAsnp, 
			MutaRNA enables a detailed evaluation of a mutation's effects on RNA structure formation.
		
		(offline) RaSE uses the graph vectorization technique of EDeN to 
compute a score indicative of the structural stability responsibility 
of each nucleotide in an RNA sequence. The score is computed as the 
similarity of the structure obtained by changing a single nucleotide 
with respect to the original structure. The structure is based on
RNAplfold base pair probabilities and thus reflects the overall
structural ensemble accessible to the RNA molecule.
Per sequence position, only the mutation which yields the largest 
structural difference is reported.
		
		Classification
BrainDead learns a two-class model for short RNA
			sequences based on accessibility-enhanced k-mer features and applies
			it for class prediction of unknown RNAs.
		
		Gene set extension
Given a list of genes known to be associated with a given genetic disease, 
						DiGI predicts and ranks a list of unknown genes based on their probabilities 
						to be related to that disease.
		
		Teaching RNA algorithms
			In order to enable an example-driven learning and teaching of
			RNA structure related algorithms, we provide here Javascript-based
			implementations for various algorithms for RNA structure and 
			RNA-RNA interaction prediction. To reduce the level of complexity,
			all algorithms use a simple Nussinov-like energy scoring scheme, i.e.
			the energy of an RNA structure is directly related to its number 
			of base pairs without further distinction.
			
Furthermore, we provide interactive implementations for general sequence alignment algorithms that are taught in our bioinformatics courses.
The source code of all implementations is available @github.com/BackofenLab/RNA-Playground.
		
		Furthermore, we provide interactive implementations for general sequence alignment algorithms that are taught in our bioinformatics courses.
The source code of all implementations is available @github.com/BackofenLab/RNA-Playground.
			The Freiburg Bioinformatics Group also provides:
		
		MoDPepInt Server
			MoDPepInt (Modular Domain Peptide Interaction) 
			is a simple and interactive webserver, which
			comprises three different tools, i.e. SH2PepInt, SH3PepInt and PDZPepInt, 
			for predicting the binding partners of three 
			different modular protein domains, 
			i.e. SH2, SH3 and PDZ domains, respectively.
		
		
		CPSP-Tools Server
			CPSP (Constraint-based Protein Structure Prediction) 
			is an exact and efficient approach to identify optimal structures
			of lattice proteins within the hydrophobic-polar (HP) model. The
			approach enables structure prediction within the 3D cubic and
			3D face-centered-cubic (FCC) lattice for both backbone-only as well
			as side-chain representing models.
		
		
		Galaxy Project - Uni Freiburg
			
			The Freiburg Galaxy Team offers a framework for scientists on 
			e.g. NGS data analyses (RNA-seq, ChIP-seq, Exome-seq, MethylC-seq), 
			genome annotation analyses for eukaryotic and prokaryotic organisms 
			(from gene prediction to functional description), Proteomics and 
			Metabolomics analysis, and the ChemicalToolBoX for analysis of 
			small compounds. Galaxy contains more than 800 different single 
			analysis tools and ready-to-use pipelines for different applications. 
			
 
The Freiburg Galaxy Project is part of the “German Network for Bioinformatics Infrastructure” (Deutsches Netzwerk für Bioinformatik-Infrastruktur, de.NBI) and the Collaborative Research Centre (CRC) 992 for Medical Epigenetics and offers within the RNA Bioinformatic Centre (RBC) a central platform for RNA analysis.
		
		The Freiburg Galaxy Project is part of the “German Network for Bioinformatics Infrastructure” (Deutsches Netzwerk für Bioinformatik-Infrastruktur, de.NBI) and the Collaborative Research Centre (CRC) 992 for Medical Epigenetics and offers within the RNA Bioinformatic Centre (RBC) a central platform for RNA analysis.
 
			  
			 
 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			 
			