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TarMiner: automatic extraction of miRNA targets from literature

Published: 29 June 2015 Publication History

Abstract

MicroRNAs (miRNAs) are small RNA molecules that target particular genes and prohibit their expression. Since many important diseases are related to the expression or non-expression of particular genes, knowing the miRNAs that affect these genes can help in finding possible treatments. In the last decade, a large amount of experimental studies trying to reveal the targets of several miRNAs has been published. A handful of curated databases that collect miRNA targets from the literature have been developed to make this information more easily available. However, due to the large number of existing published articles, maintaining these databases up-to-date is a tedious task that requires important resources. In this work we introduce TarMiner, a pipeline for automatic extraction of miRNA targets that can facilitate the curation process of databases that maintain miRNA validated targets.

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Cited By

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  • (2020)miRTMC: A miRNA target prediction method based on matrix completion algorithmIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.2987034(1-1)Online publication date: 2020

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cover image ACM Other conferences
SSDBM '15: Proceedings of the 27th International Conference on Scientific and Statistical Database Management
June 2015
390 pages
ISBN:9781450337090
DOI:10.1145/2791347
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2015

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Author Tags

  1. NLP
  2. bioinformatics
  3. text mining

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  • Research-article

Funding Sources

  • Regional Operational Program of ATTIKI
  • Greece
  • European Regional Development Fund of the European Union

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SSDBM 2015

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Overall Acceptance Rate 56 of 146 submissions, 38%

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  • (2020)miRTMC: A miRNA target prediction method based on matrix completion algorithmIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.2987034(1-1)Online publication date: 2020

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