High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis

التفاصيل البيبلوغرافية
العنوان: High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis
المؤلفون: Elaine E. Thompson, Raja Mazumder, Hayley Dingerdissen, Konstantin Chumakov, Tsung-Jung Wu, Konstantinos Karagiannis, Anton Golikov, Luis V. Santana-Quintero, Scott Goldweber, Phuc VinhNguyen Lam, Vahan Simonyan, Olesja Muravitskaja, Valery Tkachenko, Quan Wan, William J. Faison, Alexey Pschenichnov, Yang Pan, Jing Wang, Krista Smith, John Torcivia-Rodriguez, Alin Voskanian, Ekaterina Osipova, Carolyn A. Wilson, Naila Gulzar, Alexandre Rostovtsev, Thomas Maudru
المصدر: Database: The Journal of Biological Databases and Curation
سنة النشر: 2015
مصطلحات موضوعية: 0301 basic medicine, Proteomics, Computer science, Distributed computing, Statistics as Topic, Access control, Cloud computing, computer.software_genre, General Biochemistry, Genetics and Molecular Biology, Abstraction layer, 03 medical and health sciences, User-Computer Interface, Distributed data store, Recombination, Genetic, 030102 biochemistry & molecular biology, Application programming interface, Database, business.industry, Computational Biology, High-Throughput Nucleotide Sequencing, Metadata, Poliovirus Vaccines, Poliovirus, 030104 developmental biology, Data access, Virtual machine, Mutation, Original Article, General Agricultural and Biological Sciences, business, computer, Sequence Alignment, Information Systems
الوصف: The High-performance Integrated Virtual Environment (HIVE) is a distributed storage and compute environment designed primarily to handle next-generation sequencing (NGS) data. This multicomponent cloud infrastructure provides secure web access for authorized users to deposit, retrieve, annotate and compute on NGS data, and to analyse the outcomes using web interface visual environments appropriately built in collaboration with research and regulatory scientists and other end users. Unlike many massively parallel computing environments, HIVE uses a cloud control server which virtualizes services, not processes. It is both very robust and flexible due to the abstraction layer introduced between computational requests and operating system processes. The novel paradigm of moving computations to the data, instead of moving data to computational nodes, has proven to be significantly less taxing for both hardware and network infrastructure.The honeycomb data model developed for HIVE integrates metadata into an object-oriented model. Its distinction from other object-oriented databases is in the additional implementation of a unified application program interface to search, view and manipulate data of all types. This model simplifies the introduction of new data types, thereby minimizing the need for database restructuring and streamlining the development of new integrated information systems. The honeycomb model employs a highly secure hierarchical access control and permission system, allowing determination of data access privileges in a finely granular manner without flooding the security subsystem with a multiplicity of rules. HIVE infrastructure will allow engineers and scientists to perform NGS analysis in a manner that is both efficient and secure. HIVE is actively supported in public and private domains, and project collaborations are welcomed. Database URL: https://hive.biochemistry.gwu.edu.
تدمد: 1758-0463
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ceb1ddb9218fbf65a6c67009771b4d
https://pubmed.ncbi.nlm.nih.gov/26989153
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....14ceb1ddb9218fbf65a6c67009771b4d
قاعدة البيانات: OpenAIRE