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Open AccessJournal ArticleDOI

'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.

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Citations
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Proceedings ArticleDOI

OLAPing and Mining Big Data: Large-Scale, Long-Running, Serendipitous Computations within Next-Generation Clouds

TL;DR: This paper provides a brief discussion on most relevant open problems and future directions on the fundamental issue of OLAPing and Mining Big Data.
Book ChapterDOI

Industry 4.0 Technologies Used in Project Management

TL;DR: In this chapter, benefits of the technologies enabling Industry 4.0 in project management are introduced and project organizations have the flexibility to get adapted to new situations fast.
Posted ContentDOI

Application of Hadoop Cloud Platform Based on Soft Computing in Financial Accounting Budget Control

TL;DR: Wang et al. as mentioned in this paper designed a Hadoop cloud platform system based on soft computing, and made optimization research on its budget control application in financial accounting, stabilizing its solid position in the financial accounting budget control.
Journal ArticleDOI

Hadoop Distributed File System Mechanism for Processing of Large Datasets Across Computers Cluster Using Programming Techniques

TL;DR: This paper has proved that the HDFS I/O operations performance is getting increased by integrating the set associativity in the cache design and changing the pipeline topology using fully connected digraph network topology.
References
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Journal ArticleDOI

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

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

Gordon E. Moore
- 01 Jan 1965 - 
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

James Manyika
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

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.
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