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

Liang Cheng; Shuo Zhang; Yang Hu

doi:10.1371/journal.pone.0157274

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

PLoS One. 2016 Jun 17;11(6):e0157274. doi: 10.1371/journal.pone.0157274. eCollection 2016.

Authors

Liang Cheng¹, Shuo Zhang², Yang Hu³

Affiliations

¹ College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
² School of Management, Harbin University of Commerce, Harbin 150028, PR China.
³ School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, PR China.

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.

MeSH terms

Computational Biology*
Databases, Genetic*
Genetic Diseases, Inborn / genetics*
Humans
Internet
Online Systems*
Software

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant No. 61502125) and Heilongjiang Postdoctoral Fund (NO: LBH-Z15179). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.