Welcome to the RNA Galaxy workbench 2.0

RNA Galaxy

The RNA Galaxy workbench is a comprehensive set of analysis tools and consolidated workflows. The workbench is based on the Galaxy framework, which guarantees simple access, easy extension, flexible adaption to personal and security needs, and sophisticated analyses independent of command-line knowledge.

The current implementation comprises more than 700 bioinformatics tools dedicated to different research areas of RNA biology, including RNA structure analysis, RNA alignment, RNA annotation, RNA-protein interaction, ribosome profiling, RNA-Seq analysis, and RNA target prediction. Out of these 700 tools about 100 tools were integrated into galaxy by us and the remaining are from the galaxy community efforts.

The workbench is developed by the RNA Bioinformatics Center (RBC). This center is one of the eight service units of the German Network for Bioinformatics Infrastructure (de.NBI), running the German ELIXIR Node.

Cite

If you find this resource useful, please cite The RNA workbench 2.0: next generation RNA data analysis.

Content

Get started

Are you new to Galaxy, or returning after a long time, and looking for help to get started? Take a guided tour through Galaxy’s user interface.

Training

We are passionate about training. So we are working in close collaboration with the Galaxy Training Network (GTN) to develop training materials of data analyses based on Galaxy (Batut et al. 2017). These materials hosted on the GTN GitHub repository are available online at https://training.galaxyproject.org.

Want to learn more about RNA analyses? Take one of our guided tour or check out the following hands-on tutorials. We developed several tutorials and the remaining are from the GTN community (marked with )

LessonSlidesHands-onInput datasetWorkflowsGalaxy tourGalaxy History
Introduction to Transcriptomics
RNA-seq counts to genes
RNA-seq genes to pathways
RNA-Seq reads to counts
Analyse unaligned ncRNAs
CLIP-Seq data analysis from pre-processing to motif detection
De novo transcriptome reconstruction with RNA-Seq
Differential abundance testing of small RNAs
Network analysis with Heinz
PAR-CLIP analysis
Reference-based RNA-Seq data analysis
RNA family model construction
RNA-RNA interactome data analysis
RNA-seq counts to genes
RNA-seq genes to pathways
RNA-Seq reads to counts
Scan for C/D-box sequences with segmentation-fold
Small Non-coding RNA Clustering using BlockClust
Visualization of RNA-Seq results with CummeRbund
Visualization of RNA-Seq results with Volcano Plot
Visualization of RNA-Seq results with heatmap2
ViennaRNA Introduction

Available tools

In this section we list all tools that have been integrated in the RNA workbench. The list is likely to grow as soon as further tools and workflows are contributed. To ease readability, we divided them into categories.

RNA structure prediction and analysis

ToolDescriptionReference
antaRNAPossibility of inverse RNA structure folding and a specification of a GC value constraintKleinkauf et al. 2015
CoFoldA thermodynamics-based RNA secondary structure folding algorithmProctor and Meyer, 2015
KinwalkerAlgorithm for cotranscriptional folding of RNAs to obtain the min. free energy structureGeis et al. 2008
MEAPrediction of maximum expected accuracy RNA secondary structuresAmman et al. 2013
RNAshapesStructures to a tree-like domain of shapes, retaining adjacency and nesting of structural featuresJanssen and Giergerich, 2014
RNAzPredicts structurally conserved and therm. stable RNA secondary structures in mult. seq. alignmentsWashietl et al. 2005
segmentation-foldAn application that predicts RNA 2D-structure with an extended version of the Zuker algorithm-
ViennaRNAA tool compilation for prediction and comparison of RNA secondary structuresLorenz et al. 2011

RNA alignment

ToolDescriptionReference
CompalignpAn RNA counterpart of the protein specific “Benchmark Alignment Database”Wilm et al. 2006
LocARNAA tool for multiple alignment of RNA moleculesWill et al. 2012
MAFFTA multiple sequence alignment program for unix-like operating systemsKatoh and Standley, 2016
RNAlienA tool for RNA family model constructionEggenhofer et al. 2016
CMVRNA family model visualisationEggenhofer et al. 2018

RNA annotation

ToolDescriptionReference
ARAGORNA tool to identify tRNA and tmRNA genesLaslett and Canback, 2004
Fusion Matcher (FuMa)A tool that reports identical fusion genes based on gene-name annotationsHoogstrate et al. 2016
GotohScanA search tool that finds shorter sequences in large database sequencesHertel et al. 2009
INFERNALA tool searching DNA sequence databases for RNA structure and sequence similaritiesNawrocki et al. 2015
RNABOBA tool for fast pattern searching for RNA secondary structures-
RNAcodePredicts protein coding regions in a a set of homologous nucleotide sequencesWashietl et al. 2011
tRNAscanSearches for tRNA genes in genomic sequencesLowe and Eddy, 1997
RCASA generic reporting tool for the functional analysis of transcriptome-wide regions of interest detected by high-throughput experimentsUyar et al.

RNA-protein interaction

ToolDescriptionReference
AREsite2A database for AU-/GU-/U-rich elements in human and model organismsFallmann et al. 2016
DoRiNAA database of RNA interactions in post-transcriptional regulationBlin et al. 2014
PARalyzerAn algorithm to generate a map of interacting RNA-binding proteins and their targetsCorcoran et al. 2011
PiranhaA peak-caller for CLIP- and RIP-seq data-

RNA-RNA interaction

ToolDescriptionReference
ChiRAA set of tools to analyze RNA interactome/structurome experimental data such as CLASH, CLEAR-CLIP, PARIS, SPLASH etc-

RNA target prediction

ToolDescriptionReference
TargetFinderA tool to predict small RNA binding sites on target transcripts from a sequence database-

RNA Seq and HTS analysis

Preprocessing

ToolDescriptionReference
FastQCA quality control tool for high throughput sequence data-
Trim Galore!Automatic quality and adapter trimming as well as quality control-

RNA-Seq

ToolDescriptionReference
BlockClustSmall non-coding RNA clustering from deep sequencing read profilesVidem et al. 2014
FlaiMapperA tool for computational annotation of small ncRNA-derived fragments using RNA-seq dataHoogstrate et al. 2015
MiRDeep2Discovers microRNA genes by analyzing sequenced RNAsFriedländer et al. 2008
NASTIseqA method that incorporates the inherent variable efficiency of generating perfectly strand-specific librariesLi et al. 2013
PIPmiRAn algorithm to identify novel plant miRNA genes from a combination of deep sequencing data and genomic featuresBreakfield et al. 2011
SortMeRNAA tool for filtering, mapping and OTU-picking NGS reads in metatranscriptomic and -genomic dataKopylova et al. 2011

Read Mapping

ToolDescriptionReference
hisat2Hierarchical indexing for spliced alignment of transcriptsPertea et al. 2016
RNA STARRapid spliced aligner for RNA-seq dataDobin et al. 2013
STAR-fusionFast fusion gene finderHaas et al. 2017
bowtie2Fast and sensitive read alignmentLangmead et al. 2012
BWASoftware package for mapping low-divergent sequences against a large reference genomeLi and Durbin 2009, Li and Durbin 2010

Transcript Assembly

ToolDescriptionReference
TrinityDe novo transcript sequence reconstruction from RNA-SeqHaas et al. 2013

Quantification

ToolDescriptionReference
featureCountsUltrafast and accurate read summarization programLiao et al. 2014
htseq-countTool for counting reads in featuresAnders et al. 2015
SailfishRapid Alignment-free Quantification of Isoform AbundancePatro et al. 2014
SalmonFast, accurate and bias-aware transcript quantificationPatro et al. 2017

Differential expression analysis

ToolDescriptionReference
DESeq2Differential gene expression analysis based on the negative binomial distributionLove et al. 2014

Utilities

ToolDescriptionReference
SAMtoolsUtilities for manipulating alignments in the SAM formatHeng et al. 2009
BEDToolsUtilities for genome arithmeticQuinlan and Hall 2010
deepToolsTools for exploring deep-sequencing dataRamirez et al. 2014, Ramirez et al. 2016

Ribosome profiling

ToolDescriptionReference
RiboTaperAn analysis pipeline for Ribo-Seq experiments, exploiting the triplet periodicity of ribosomal footprints to call translated regionsCalviello et al. 2016

Contributors

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