Literature DB >> 18522801

CID-miRNA: a web server for prediction of novel miRNA precursors in human genome.

Sonika Tyagi1, Candida Vaz, Vipin Gupta, Rohit Bhatia, Sachin Maheshwari, Ashwin Srinivasan, Alok Bhattacharya.   

Abstract

microRNAs (miRNA) are a class of non-protein coding functional RNAs that are thought to regulate expression of target genes by direct interaction with mRNAs. miRNAs have been identified through both experimental and computational methods in a variety of eukaryotic organisms. Though these approaches have been partially successful, there is a need to develop more tools for detection of these RNAs as they are also thought to be present in abundance in many genomes. In this report we describe a tool and a web server, named CID-miRNA, for identification of miRNA precursors in a given DNA sequence, utilising secondary structure-based filtering systems and an algorithm based on stochastic context free grammar trained on human miRNAs. CID-miRNA analyses a given sequence using a web interface, for presence of putative miRNA precursors and the generated output lists all the potential regions that can form miRNA-like structures. It can also scan large genomic sequences for the presence of potential miRNA precursors in its stand-alone form. The web server can be accessed at http://mirna.jnu.ac.in/cidmirna/.

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Year:  2008        PMID: 18522801     DOI: 10.1016/j.bbrc.2008.05.134

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  25 in total

Review 1.  Expression profiling of microRNAs by deep sequencing.

Authors:  Chad J Creighton; Jeffrey G Reid; Preethi H Gunaratne
Journal:  Brief Bioinform       Date:  2009-03-30       Impact factor: 11.622

2.  miRBoost: boosting support vector machines for microRNA precursor classification.

Authors:  Van Du T Tran; Sebastien Tempel; Benjamin Zerath; Farida Zehraoui; Fariza Tahi
Journal:  RNA       Date:  2015-03-20       Impact factor: 4.942

Review 3.  Analysis of microRNA expression and function.

Authors:  Priscilla M Van Wynsberghe; Shih-Peng Chan; Frank J Slack; Amy E Pasquinelli
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

4.  Analysis of microRNA transcriptome by deep sequencing of small RNA libraries of peripheral blood.

Authors:  Candida Vaz; Hafiz M Ahmad; Pratibha Sharma; Rashi Gupta; Lalit Kumar; Ritu Kulshreshtha; Alok Bhattacharya
Journal:  BMC Genomics       Date:  2010-05-07       Impact factor: 3.969

5.  Characterization of the Melanoma miRNAome by Deep Sequencing.

Authors:  Mitchell S Stark; Sonika Tyagi; Derek J Nancarrow; Glen M Boyle; Anthony L Cook; David C Whiteman; Peter G Parsons; Christopher Schmidt; Richard A Sturm; Nicholas K Hayward
Journal:  PLoS One       Date:  2010-03-12       Impact factor: 3.240

6.  miRdentify: high stringency miRNA predictor identifies several novel animal miRNAs.

Authors:  Thomas B Hansen; Morten T Venø; Jørgen Kjems; Christian K Damgaard
Journal:  Nucleic Acids Res       Date:  2014-07-22       Impact factor: 16.971

7.  Azadirachta indica MicroRNAs: Genome-Wide Identification, Target Transcript Prediction, and Expression Analyses.

Authors:  Raja Rajakani; Pravin Prakash; Dolly Ghosliya; Ranjana Soni; Arpita Singh; Vikrant Gupta
Journal:  Appl Biochem Biotechnol       Date:  2021-02-01       Impact factor: 2.926

8.  MicroRNA prediction using a fixed-order Markov model based on the secondary structure pattern.

Authors:  Wei Shen; Ming Chen; Guo Wei; Yan Li
Journal:  PLoS One       Date:  2012-10-30       Impact factor: 3.240

9.  Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM).

Authors:  Sumeet Agarwal; Candida Vaz; Alok Bhattacharya; Ashwin Srinivasan
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

10.  Structure and evolution of vertebrate aldehyde oxidases: from gene duplication to gene suppression.

Authors:  Mami Kurosaki; Marco Bolis; Maddalena Fratelli; Maria Monica Barzago; Linda Pattini; Gemma Perretta; Mineko Terao; Enrico Garattini
Journal:  Cell Mol Life Sci       Date:  2012-12-21       Impact factor: 9.261

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