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Bioinformatics Resources for MicroRNA Discovery

Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of next-generation sequencing, the amount of data on miRNA has increased...

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Detalles Bibliográficos
Autores principales: Moore, Alyssa C., Winkjer, Jonathan S., Tseng, Tsai-Tien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718083/
https://www.ncbi.nlm.nih.gov/pubmed/26819547
http://dx.doi.org/10.4137/BMI.S29513
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author Moore, Alyssa C.
Winkjer, Jonathan S.
Tseng, Tsai-Tien
author_facet Moore, Alyssa C.
Winkjer, Jonathan S.
Tseng, Tsai-Tien
author_sort Moore, Alyssa C.
collection PubMed
description Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of next-generation sequencing, the amount of data on miRNA has increased tremendously in the last decade, requiring new bioinformatics approaches for processing and storing new information. New strategies have been developed in mining these sequencing datasets to allow better understanding toward the actions of miRNAs. As a result, many databases have also been established to disseminate these findings. This review focuses on several curated databases of miRNAs and their targets from both predicted and validated sources.
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spelling pubmed-47180832016-01-27 Bioinformatics Resources for MicroRNA Discovery Moore, Alyssa C. Winkjer, Jonathan S. Tseng, Tsai-Tien Biomark Insights Review Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of next-generation sequencing, the amount of data on miRNA has increased tremendously in the last decade, requiring new bioinformatics approaches for processing and storing new information. New strategies have been developed in mining these sequencing datasets to allow better understanding toward the actions of miRNAs. As a result, many databases have also been established to disseminate these findings. This review focuses on several curated databases of miRNAs and their targets from both predicted and validated sources. Libertas Academica 2016-01-18 /pmc/articles/PMC4718083/ /pubmed/26819547 http://dx.doi.org/10.4137/BMI.S29513 Text en © 2015 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Review
Moore, Alyssa C.
Winkjer, Jonathan S.
Tseng, Tsai-Tien
Bioinformatics Resources for MicroRNA Discovery
title Bioinformatics Resources for MicroRNA Discovery
title_full Bioinformatics Resources for MicroRNA Discovery
title_fullStr Bioinformatics Resources for MicroRNA Discovery
title_full_unstemmed Bioinformatics Resources for MicroRNA Discovery
title_short Bioinformatics Resources for MicroRNA Discovery
title_sort bioinformatics resources for microrna discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718083/
https://www.ncbi.nlm.nih.gov/pubmed/26819547
http://dx.doi.org/10.4137/BMI.S29513
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