HDVDB: a data warehouse for hepatitis delta virus.

Q4 Health Professions International Journal of Bioinformatics Research and Applications Pub Date : 2015-01-01 DOI:10.1504/IJBRA.2015.068091

Sarita Singh, Sunil Kumar Gupta, Anuradha Nischal, Kamlesh Kumar Pant, Prahlad Kishore Seth

引用次数: 3

Abstract

Hepatitis Delta Virus (HDV) is an RNA virus and causes delta hepatitis in humans. Although a lot of data is available for HDV, but retrieval of information is a complicated task. Current web database 'HDVDB' provides a comprehensive web-resource for HDV. The database is basically concerned with basic information about HDV and disease caused by this virus, genome structure, pathogenesis, epidemiology, symptoms and prevention, etc. Database also supplies sequence data and bibliographic information about HDV. A tool 'siHDV Predict' to design the effective siRNA molecule to control the activity of HDV, is also integrated in database. It is a user friendly information system available at public domain and provides annotated information about HDV for research scholars, scientists, pharma industry people for further study.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

丁型肝炎病毒数据仓库。

丁型肝炎病毒(HDV)是一种RNA病毒，可引起人类丁型肝炎。虽然HDV有大量的可用数据，但信息的检索是一项复杂的任务。当前的网络数据库“HDVDB”为HDV提供了一个全面的网络资源。该数据库主要涉及HDV及其引起的疾病的基本信息、基因组结构、发病机制、流行病学、症状和预防等。数据库还提供HDV序列数据和书目信息。数据库中还集成了siHDV预测工具，用于设计有效的siRNA分子来控制HDV的活性。它是一个用户友好的信息系统，可在公共领域使用，并为研究学者，科学家，制药行业人士提供有关HDV的注释信息，以供进一步研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.