Chimira – Analysis of small RNA Sequencing data and microRNA modifications

Chimira is a web-based system for microRNA (miRNA) analysis from small RNA-Seq data. Sequences are automatically cleaned, trimmed, size selected and mapped directly to miRNA hairpin sequences. This generates count-based miRNA expression data for subsequent statistical analysis. Moreover, it is capable of identifying epi-transcriptomic modifications in the input sequences. Supported modification types include multiple types of 3′-modifications (e.g. uridylation, adenylation), 5′-modifications and also internal modifications or variation (ADAR editing or SNPs). Besides cleaning and mapping of input sequences to miRNAs (Griffiths-Jones et al., 2008), Chimira provides a simple and intuitive set of tools for the analysis and interpretation of the results (see also Supplementary material). These allow the visual study of the differential expression between two specific samples or sets of samples, the identification of the most highly expressed miRNAs within sample pairs (or sets of samples) and also the projection of the modification profile for specific miRNAs across all samples. Other tools have already been published in the past for various types of small RNA-Seq analysis, such as UEA workbench, seqBuster, MAGI, OASIS and CAP-miRSeq, CPSS for modifications identification. A comprehensive comparison of Chimira with each of these tools is provided in the Supplemental material. Chimira outperforms all of these tools in total execution speed and aims to facilitate simple, fast and reliable analysis of small RNA-Seq data allowing also, for the first time, identification of global microRNA modification profiles in a simple intuitive interface.


Availability – Chimira has been developed as a web application and it is accessible here:


Vitsios DM, Enright AJ. (2015) Chimira: Analysis of cro Sequencing data and microRNA modifications. Bioinformatics [Epub ahead of print]. [article]

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