'Big data', Hadoop and cloud computing in genomics
TLDR
An overview of cloud computing and big data technologies, and how such expertise can be used to deal with biology's big data sets is discussed, together with an overview of the current usage of Hadoop within the bioinformatics community.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2013-10-01 and is currently open access. It has received 403 citations till now. The article focuses on the topics: Data-intensive computing & Big data.read more
Citations
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Patent
Hybrid data architecture having a cognitive data management module for use within a cognitive environment
TL;DR: In this article, a data architecture for use within a cognitive information processing system environment comprising a plurality of data sources, including a public data source and a private data source, is presented.
Proceedings ArticleDOI
Spark-based Monte Carlo parallel simulation approach for FTA
TL;DR: This paper puts forward a parallel algorithm under the Spark parallel computing framework, and through the experiment proves that the parallel algorithm can quickly get the simulation results and have the advantage of calculating large-scale dynamic FTs.
Journal ArticleDOI
A comprehensive study and review of tuning the performance on database scalability in big data analytics
M. R. Sundarakumar,G. Mahadevan,R. Natchadalingam,G. Karthikeyan,Jaju Sangita Ashok,J. Samuel Manoharan,V. Sathya,P. Velmurugadass +7 more
TL;DR: In this paper , a detailed survey of the challenges and limitations that occurred during the processing phase in big data analytics was discussed and provided solutions to that by selecting the languages and techniques using modern tools.
Proceedings ArticleDOI
Towards Multi-Objective Optimisation of Hadoop 2.x Application Deployment on Public Clouds
Naif Alasmari,Radu Calinescu +1 more
TL;DR: The approach uses Hadoop and cloud infrastructure models to synthesise sets of configurations that achieve Pareto-optimal trade-offs between the execution time and the cost of Big Data applications, enabling users to select optimal deployments that meet their time and/or budget constraints.
References
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Journal ArticleDOI
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
Aaron McKenna,Matthew Hanna,Eric Banks,Andrey Sivachenko,Kristian Cibulskis,Andrew Kernytsky,Kiran V. Garimella,David Altshuler,Stacey Gabriel,Mark J. Daly,Mark A. DePristo +10 more
TL;DR: The GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
Journal ArticleDOI
Cramming More Components Onto Integrated Circuits
TL;DR: Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles, and personal portable communications equipment as mentioned in this paper. But the biggest potential lies in the production of large systems.
Journal Article
Cramming More Components onto Integrated Circuits
TL;DR: Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles, and personal portable communications equipment as discussed by the authors. But the biggest potential lies in the production of large systems.
Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Journal ArticleDOI
Galaxy: A platform for interactive large-scale genome analysis
Belinda Giardine,Cathy Riemer,Ross C. Hardison,Richard Burhans,Laura Elnitski,Prachi Shah,Prachi Shah,Yi Zhang,Daniel Blankenberg,Istvan Albert,James Taylor,Webb Miller,W. James Kent,Anton Nekrutenko +13 more
TL;DR: An interactive system, Galaxy, that combines the power of existing genome annotation databases with a simple Web portal to enable users to search remote resources, combine data from independent queries, and visualize the results.