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

  • Liang Cheng*
  • , Shuo Zhang
  • , Yang Hu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbere0157274
JournalPLOS ONE
Volume11
Issue number6
DOIs
StatePublished - Jun 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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