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Provides a huge volume of experimental data in high quality visualization and representation to facilitate the user to have meaningful insights. A user can browse the portal through several entry points: by searching for terms, browsing for regulatory sRNAs (rsRNAs) or by directly opting for the various result sections which in turn transfer the user to entire tool sets, look into the pathways details, and select various cancer states. A wall page contains clustering of the rsRNAs on the basis of seed similarities, which provides dynamic image system and enrichment analysis for the targets of the selected clusters and sRNAs. The provisions of dynamic expression analysis is given where any number of experimental conditions could be selected along with sRNA of choice and its targets. Search can be performed using single term as well as in batch mode. Search results may be explored with two options: Annotation Viewer and Expression Search. On selecting Annotation Viewer, an annotation chart with visual genomic representation of the selected query is displayed. From here, all information for a target site and rsRNA can be accessed.

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  • Ravi Shankar <ravish at ihbt.res.in>


Studio of Computational Biology & Bioinformatics, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur 176061, HP, India; Academy of Scientific & Innovative Research, Chennai, India

Funding source(s)

CSIR for his project fellowship; DST for INSPIRE fellowship; CSIR-TRISUTRA [MLP-901]; CSIR 12th FYP project GENESIS [BSC-121]

  • (Jha et al., 2015) A legion of potential regulatory sRNAs exists beyond the typical microRNAs microcosm. Nucleic acids research.
    PMID: 26354861
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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