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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4912091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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