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BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases

The significantly related diseases of sequences could play an important role in understanding the functions of these sequences. In this paper, we introduced BLAT2DOLite, an online system for annotating human genes and diseases and identifying the significant relationships between sequences and disea...

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Detalles Bibliográficos
Autores principales: Cheng, Liang, Zhang, Shuo, Hu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912091/
https://www.ncbi.nlm.nih.gov/pubmed/27315278
http://dx.doi.org/10.1371/journal.pone.0157274
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author Cheng, Liang
Zhang, Shuo
Hu, Yang
author_facet Cheng, Liang
Zhang, Shuo
Hu, Yang
author_sort Cheng, Liang
collection PubMed
description The significantly related diseases of sequences could play an important role in understanding the functions of these sequences. In this paper, we introduced BLAT2DOLite, an online system for annotating human genes and diseases and identifying the significant relationships between sequences and diseases. Currently, BLAT2DOLite integrates Entrez Gene database and Disease Ontology Lite (DOLite), which contain loci of gene and relationships between genes and diseases. It utilizes hypergeometric test to calculate P-values between genes and diseases of DOLite. The system can be accessed from: http://123.59.132.21:8080/BLAT2DOLite. The corresponding web service is described in: http://123.59.132.21:8080/BLAT2DOLite/BLAT2DOLiteIDMappingPort?wsdl.
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spelling pubmed-49120912016-07-06 BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases Cheng, Liang Zhang, Shuo Hu, Yang PLoS One Research Article The significantly related diseases of sequences could play an important role in understanding the functions of these sequences. In this paper, we introduced BLAT2DOLite, an online system for annotating human genes and diseases and identifying the significant relationships between sequences and diseases. Currently, BLAT2DOLite integrates Entrez Gene database and Disease Ontology Lite (DOLite), which contain loci of gene and relationships between genes and diseases. It utilizes hypergeometric test to calculate P-values between genes and diseases of DOLite. The system can be accessed from: http://123.59.132.21:8080/BLAT2DOLite. The corresponding web service is described in: http://123.59.132.21:8080/BLAT2DOLite/BLAT2DOLiteIDMappingPort?wsdl. Public Library of Science 2016-06-17 /pmc/articles/PMC4912091/ /pubmed/27315278 http://dx.doi.org/10.1371/journal.pone.0157274 Text en © 2016 Cheng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cheng, Liang
Zhang, Shuo
Hu, Yang
BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title_full BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title_fullStr BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title_full_unstemmed BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title_short BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases
title_sort blat2dolite: an online system for identifying significant relationships between genetic sequences and diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912091/
https://www.ncbi.nlm.nih.gov/pubmed/27315278
http://dx.doi.org/10.1371/journal.pone.0157274
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