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miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting
Biogenesis and molecular function are two key subjects in the field of microRNA (miRNA) research. Deep sequencing has become the principal technique in cataloging of miRNA repertoire and generating expression profiles in an unbiased manner. Here, we describe the miRGator v3.0 update (http://mirgator...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531224/ https://www.ncbi.nlm.nih.gov/pubmed/23193297 http://dx.doi.org/10.1093/nar/gks1168 |
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author | Cho, Sooyoung Jang, Insu Jun, Yukyung Yoon, Suhyeon Ko, Minjeong Kwon, Yeajee Choi, Ikjung Chang, Hyeshik Ryu, Daeun Lee, Byungwook Kim, V. Narry Kim, Wankyu Lee, Sanghyuk |
author_facet | Cho, Sooyoung Jang, Insu Jun, Yukyung Yoon, Suhyeon Ko, Minjeong Kwon, Yeajee Choi, Ikjung Chang, Hyeshik Ryu, Daeun Lee, Byungwook Kim, V. Narry Kim, Wankyu Lee, Sanghyuk |
author_sort | Cho, Sooyoung |
collection | PubMed |
description | Biogenesis and molecular function are two key subjects in the field of microRNA (miRNA) research. Deep sequencing has become the principal technique in cataloging of miRNA repertoire and generating expression profiles in an unbiased manner. Here, we describe the miRGator v3.0 update (http://mirgator.kobic.re.kr) that compiled the deep sequencing miRNA data available in public and implemented several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data would be of great utility for studying iso-miRs, miRNA editing and modifications. miRNA–target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets. By keeping datasets and analytic tools up-to-date, miRGator should continue to serve as an integrated resource for biogenesis and functional investigation of miRNAs. |
format | Online Article Text |
id | pubmed-3531224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35312242013-03-07 miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting Cho, Sooyoung Jang, Insu Jun, Yukyung Yoon, Suhyeon Ko, Minjeong Kwon, Yeajee Choi, Ikjung Chang, Hyeshik Ryu, Daeun Lee, Byungwook Kim, V. Narry Kim, Wankyu Lee, Sanghyuk Nucleic Acids Res Articles Biogenesis and molecular function are two key subjects in the field of microRNA (miRNA) research. Deep sequencing has become the principal technique in cataloging of miRNA repertoire and generating expression profiles in an unbiased manner. Here, we describe the miRGator v3.0 update (http://mirgator.kobic.re.kr) that compiled the deep sequencing miRNA data available in public and implemented several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data would be of great utility for studying iso-miRs, miRNA editing and modifications. miRNA–target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets. By keeping datasets and analytic tools up-to-date, miRGator should continue to serve as an integrated resource for biogenesis and functional investigation of miRNAs. Oxford University Press 2013-01 2012-11-26 /pmc/articles/PMC3531224/ /pubmed/23193297 http://dx.doi.org/10.1093/nar/gks1168 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Cho, Sooyoung Jang, Insu Jun, Yukyung Yoon, Suhyeon Ko, Minjeong Kwon, Yeajee Choi, Ikjung Chang, Hyeshik Ryu, Daeun Lee, Byungwook Kim, V. Narry Kim, Wankyu Lee, Sanghyuk miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title | miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title_full | miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title_fullStr | miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title_full_unstemmed | miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title_short | miRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting |
title_sort | mirgator v3.0: a microrna portal for deep sequencing, expression profiling and mrna targeting |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531224/ https://www.ncbi.nlm.nih.gov/pubmed/23193297 http://dx.doi.org/10.1093/nar/gks1168 |
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