scholarly journals Low Cost, Scalable Proteomics Data Analysis Using Amazon’s Cloud Computing Services and Open Source Search Algorithms

2009 ◽  
Vol 8 (6) ◽  
pp. 3148-3153 ◽  
Author(s):  
Brian D. Halligan ◽  
Joey F. Geiger ◽  
Andrew K. Vallejos ◽  
Andrew S. Greene ◽  
Simon N. Twigger
Keyword(s):  
Cloud Computing ◽  
Data Analysis ◽  
Open Source ◽  
Low Cost ◽  
Search Algorithms ◽  
Proteomics Data ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Proteomics Data Analysis

scholarly journals On the Clouds: A New Way of Computing

2010 ◽  
Vol 29 (2) ◽  
pp. 87 ◽  
Author(s):  
Yan Han
Keyword(s):  
Cloud Computing ◽  
Low Cost ◽  
Content Management ◽  
Management Systems ◽  
Multiple Systems ◽  
Computing Services ◽  
It Project ◽  
Cloud Computing Services ◽  
Repository Software ◽  
Content Management Systems

This article introduces cloud computing and discusses the author’s experience “on the clouds.” The author reviews cloud computing services and providers, then presents his experience of running multiple systems (e.g., integrated library systems, content management systems, and repository software). He evaluates costs, discusses advantages, and addresses some issues about cloud computing. Cloud computing fundamentally changes the ways institutions and companies manage their computing needs. Libraries can take advantage of cloud computing to start an IT project with low cost, to manage computing resources cost-effectively, and to explore new computing possibilities.

scholarly journals MS-PyCloud: An open-source, cloud computing-based pipeline for LC-MS/MS data analysis

2018 ◽  
Author(s):  
Li Chen ◽  
Bai Zhang ◽  
Michael Schnaubelt ◽  
Punit Shah ◽  
Paul Aiyetan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Analysis ◽  
Open Source ◽  
High Performance ◽  
Large Scale ◽  
Rapid Development ◽  
Data File ◽  
Data Sets ◽  
Proteomics Data ◽  
Amazon Web Services

ABSTRACTRapid development and wide adoption of mass spectrometry-based proteomics technologies have empowered scientists to study proteins and their modifications in complex samples on a large scale. This progress has also created unprecedented challenges for individual labs to store, manage and analyze proteomics data, both in the cost for proprietary software and high-performance computing, and the long processing time that discourages on-the-fly changes of data processing settings required in explorative and discovery analysis. We developed an open-source, cloud computing-based pipeline, MS-PyCloud, with graphical user interface (GUI) support, for LC-MS/MS data analysis. The major components of this pipeline include data file integrity validation, MS/MS database search for spectral assignment, false discovery rate estimation, protein inference, determination of protein post-translation modifications, and quantitation of specific (modified) peptides and proteins. To ensure the transparency and reproducibility of data analysis, MS-PyCloud includes open source software tools with comprehensive testing and versioning for spectrum assignments. Leveraging public cloud computing infrastructure via Amazon Web Services (AWS), MS-PyCloud scales seamlessly based on analysis demand to achieve fast and efficient performance. Application of the pipeline to the analysis of large-scale iTRAQ/TMT LC-MS/MS data sets demonstrated the effectiveness and high performance of MS-PyCloud. The software can be downloaded at: https://bitbucket.org/mschnau/ms-pycloud/downloads/

scholarly journals Visualize : A free and open source multifunction tool for proteomics data analysis

PROTEOMICS ◽  
2011 ◽  
Vol 11 (6) ◽  
pp. 1058-1063 ◽  
Author(s):  
Brian D. Halligan ◽  
Andrew S. Greene
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Proteomics Data ◽  
Proteomics Data Analysis

Cloud Computing in Library

2014 ◽  
Vol 3 ◽  
pp. 94-112
Author(s):  
Angelė Pečeliūnaitė
Keyword(s):  
Cloud Computing ◽  
Scientific Community ◽  
Digital Age ◽  
International Experience ◽  
The Internet ◽  
Library Services ◽  
General Activity ◽  
Computing Services ◽  
Cloud Computing Services

The article analyses the possibility of how Cloud Computing can be used by libraries to organise activities online. In order to achieve a uniform understanding of the essence of technology SaaS, IaaS, and PaaS, the article discusses the Cloud Computing services, which can be used for the relocation of libraries to the Internet. The improvement of the general activity of libraries in the digital age, the analysis of the international experience in the libraries are examples. Also the article discusses the results of a survey of the Lithuanian scientific community that confirms that 90% of the scientific community is in the interest of getting full access to e-publications online. It is concluded that the decrease in funding for libraries, Cloud Computing can be an economically beneficial step, expanding the library services and improving their quality.

One Implementation Method of Trust Evaluation Tool Used on Cloud Computing Service

2019 ◽  
Vol 12 (3) ◽  
pp. 223-231
Author(s):  
Shengju Yang
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Service Providers ◽  
Assessment Method ◽  
Trust Evaluation ◽  
Evaluation Tool ◽  
Computing Services ◽  
Business Goals ◽  
Cloud Computing Service ◽  
Cloud Computing Services

In order to solve the trust problems between users and cloud computing service providers in cloud computing services, the existing trust evaluation technology and access control technology in the cloud computing service are analyzed. And the evaluation index of cloud computing is also analyzed. Users can calculate the relevant indicators of cloud computing service according to their own business goals, and choose the appropriate cloud computing services according to their own trust need. In addition, the reliability assessment method of users based on the service process is proposed. Cloud computing access control system can be used for user credibility evaluation, and it can handle user access requests according to user's creditability. In the study, a cloud computing service trust evaluation tool is designed, and the modeling and architecture designs of trust evaluation are also given. The effectiveness of the method is verified by experiments on cloud computing service evaluation methods.

Cloud computing services, models and simulation tools

2021 ◽  
Vol 10 (5/6) ◽  
pp. 533
Author(s):  
Moulhime El Bekkali ◽  
Benaissa Bernoussi ◽  
Mohammed Fattah ◽  
Said Mazer ◽  
Younes Balboul ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Simulation Tools ◽  
Computing Services ◽  
Cloud Computing Services

VORDi*

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Requirements Engineering ◽  
Systems Engineering ◽  
Early Phase ◽  
Service Providers ◽  
Software As A Service ◽  
New Approach ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing services mature both economically and technologically and play a more and more extensive role in the domain of software and information systems engineering. SaaS offers advantage for both service providers and consumers. SaaS is faced with the question of appropriate techniques applying at early phase of Requirements engineering of producing system. The paper highlights two traditional methods namely i* and VORD belonging respectively to Goal oriented Requirements Engineering and Viewpoints approaches. The approach proposed try to dealing with the requirements elicitation in the context of Software-as-a-service SaaS. So, the approach benefits from strengths of both VORD and i* models and propose a combination of them in a new approach namely VORDi*.

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