alexa Performance and Evaluation of MicroRNA Gene Identification Tools
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Performance and Evaluation of MicroRNA Gene Identification Tools

Swati Sinha1*, T.S. Vasulu1, and Rajat K. De2*

1Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India

2Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

*Corresponding Author:
Dr. Swati Sinha
Biological Anthropology Unit
Indian Statistical Institute
Kolkata-108, India
Tel: 91-33-25753215
E-mail : [email protected]

Dr. Rajat K De
Machine Intelligence Unit
Indian Statistical Institute
Kolkata-108, India
Tel: 91-33-25753105
Fax: +91-33-25753026
E-mail : [email protected]

Received Date: July 02, 2009; Accepted Date: August 11, 2009; Published Date: August 12, 2009

Citation: Sinha S, Vasulu TS, De RK (2009) Performance and Evaluation of MicroRNA Gene Identification Tools. J Proteomics Bioinform 2: 336-343. doi: 10.4172/jpb.1000093

Copyright: © 2009 Sinha S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

MicroRNAs are small single stranded RNA molecules o f ~ 22 nt in length which play important role in po st transcriptional gene regulation either by translati onal repression of mRNA or by their cleavage. Since their discovery, continuous efforts to identify the miRNA genes led to the discovery of several miRNAs in plants as wel l as animals. Owing to the limitations of the molecular genetic t echniques of miRNA identification, computational ap proaches were introduced for better and affordable in silico- miRNA predictions. Here, we compared a few miRNA ge ne identification tools, such as ‘MiPred’, ‘Triplet-SVM ’, ‘BayesMiRNAfind’, ‘OneClassmiRNAfind’and ‘BayesSVMmiRNAfind’ to evaluate the performance of its predictability based on the real and pseudo pre cursor miRNA datasets. Of all the tools examined MiPred is more sensitive (96%) in identifying pseudo miRNAs than Triplet-SVM for real/pseudo miRNA classification, w hereas for mature miRNA prediction ‘one-class’ SVM classifier shows best specificity (96%), while BayesSVMmiRNAfi nd shows least specificity (8%).

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_che[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords