MiRNA Target Prediction in Humans.

Date of Submission

December 2014

Date of Award

Winter 12-12-2015

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Machine Intelligence Unit (MIU-Kolkata)


Maji, Pradipta (MIU-Kolkata; ISI)

Abstract (Summary of the Work)

MicroRNAs(miRNAs) are endogenous - 22 nt RNAS that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes and resulting in post-transciptional repres- sion. Each miRNA is believed to regulate thousands of genes. The study of regulation of mRNA by miRNA becomes important from the fact that deregulation of miRNAs can lead to specific disease phenotypes and it pushes for the investigation of miRNAs role in diagnosis.prognosis and therapeutic application for disease treatment.[1].Since miRNA potentially targets a large number of genes,elucidating its function using only wet-lab experiments is extremely laborious and economically infeasible. The more favourable approach involves screening of candidates using computational methods. The present state of algorithms employ a numb strategies,based on prior knowledge and high-throughput data.But still the algorithms are far from perfect. This calls the need for searching new patterns and developing algorithms to tackle the Problem.


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843148

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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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