摘要 :
Motivation: Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.Results: This study describes a r...
展开
Motivation: Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.Results: This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research.Availability: http://iossifovlab.cshl.edu/figuromeContact: raul.rodriguez-estebanfizer.com
收起
摘要 :
Pervasive computing technology enables social mapping and sharing of local knowledge to create relationships beyond established social and cultural boundaries; it also enables the development of new practices around place, identit...
展开
Pervasive computing technology enables social mapping and sharing of local knowledge to create relationships beyond established social and cultural boundaries; it also enables the development of new practices around place, identity, and community. For more than a decade, the authors have explored the potential costs and benefits of using pervasive computing to facilitate codiscovery with communities across London, with the aim of supporting grassroots activities that help urban communities take action toward environmental sustainability. A core ingredient of these explorations is the making of artifacts to provide both the focus for communal experiences and a way to create public goods--that is, tangible representations of the intangible things we value most about our communities. Specific projects explore alternative material representations of stories, skills, games, songs, techniques, memories, hyper-local lore, and experiential knowledge of the environment. In this article, the authors present work that investigates how public goods can provide the focus for the development of grassroots community groups focused on hyper-local concerns. They also show how creating objects constructed to communicate the activist message of these communities in a tangible manner provides more affective and illustrative ways to facilitate the codiscovery of uncommon insights. This article is part of a special issue on pervasive analytics and citizen science.
收起
摘要 :
Here, we describe a tool suite that functions on all of the commonly known FASTQ format variants and provides a pipeline for manipulating next generation sequencing data taken from a sequencing machine all the way through the qual...
展开
Here, we describe a tool suite that functions on all of the commonly known FASTQ format variants and provides a pipeline for manipulating next generation sequencing data taken from a sequencing machine all the way through the quality filtering steps.
收起
摘要 :
We provide a new statistical algorithm and software package called 'eigen-R-2' for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R-2 to two r...
展开
We provide a new statistical algorithm and software package called 'eigen-R-2' for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R-2 to two real-life examples and compare it with simply averaging R-2 over many features.
收起
摘要 :
The identification of unknown amino acid sequences of peptides as well as protein identification is of great significance in proteomics. Here, we present a publicly available web application that facilitates a high resolution mapp...
展开
The identification of unknown amino acid sequences of peptides as well as protein identification is of great significance in proteomics. Here, we present a publicly available web application that facilitates a high resolution mapping of measured molecular masses to peptides and proteins, irrespectively of the enzyme/digestion method used. Furthermore, multi-filtering may be applied in terms of measured mass tolerance, molecular mass and isoelectric point range as well as pattern matching to refine the results. This approach serves complementary to the existing solutions for protein identification and gives insights in novel peptides discovery and protein identification at the cases where the identification scores from the other approaches may be below significance threshold. Peptide Finder has been proven useful in proteomics procedures with experimental data from MALDI-TOF.
收起
摘要 :
This paper introduces MorphoSys, a reconfigurable computing system developed to investigate the effectiveness of combining reconfigurable hardware with general-purpose processors for word-level, computation-intensive applications....
展开
This paper introduces MorphoSys, a reconfigurable computing system developed to investigate the effectiveness of combining reconfigurable hardware with general-purpose processors for word-level, computation-intensive applications. MorphoSys is a coarse-grain, integrated, and reconfigurable system-on-chip, targeted at high-throughput and data-parallel applications. It is comprised of a reconfigurable array of processing cells, a modified RISC processor core, and an efficient memory interface unit. This paper describes the MorphoSys architecture, including the reconfigurable processor array, the control processor, and data and configuration memories. The suitability of MorphoSys for the target application domain is then illustrated with examples such as video compression, data encryption and target recognition. Performance evaluation of these applications indicates improvements of up to an order of magnitude (or more) on MorphoSys, in comparison with other systems.
收起
摘要 :
In the Arabidopsis thaliana regulatory element analyzer (AtREA) server, we have integrated sequence data, genome-wide expression data and functional annotation data in three application modules which will be useful to identify maj...
展开
In the Arabidopsis thaliana regulatory element analyzer (AtREA) server, we have integrated sequence data, genome-wide expression data and functional annotation data in three application modules which will be useful to identify major regulatory targets of a user-provided cis-regulatory element (CRE), study different features of CRE distribution and evaluate the role of a set of CREs in the regulation of gene expression-independently as well as in combination with other user-provided CREs.
收起
摘要 :
The University of Vermont is working to present the images comprising the Long Trail
Collection through mobile technologies, providing an opportunity to enhance trail hikers’
experience with historical views and background inform...
展开
The University of Vermont is working to present the images comprising the Long Trail
Collection through mobile technologies, providing an opportunity to enhance trail hikers’
experience with historical views and background information. The collection, held by the
University’s Center for Digital Initiatives, includes over 900 slides from 1912-1937. With
geospatial metadata linked to Google maps, one can use a smartphone to identify a
location and access place-based images from the collection to appreciate the location’s
rich historical context. Since October 2010, the originators have worked on building the
application using Apple’s development suite and virtual phone and collaborated with others
on the app design. The potential for other intersections of historical information and real
time, place-based experiences presented through mobile technologies, is promising. The
app being developed for the Long Trail Collection can serve as a model and practical
teaching tool. Recollection, an open source software toolkit, supports collection displays
and integrated metadata. It is hoped that librarians and digital collection managers will
take advantage of these resources to support mobile development initiatives.
收起
摘要 :
Mobile cloud computing presents an effective solution to overcome smartphone constraints, such as limited computational power, storage, and energy. As the traditional mobile application development models do not support computatio...
展开
Mobile cloud computing presents an effective solution to overcome smartphone constraints, such as limited computational power, storage, and energy. As the traditional mobile application development models do not support computation offloading, mobile cloud computing requires novel application development models that can facilitate the development of cloud enabled mobile applications. This paper presents a mobile cloud application development model, named MobiByte, to enhance mobile device applications' performance, energy efficiency, and execution support. MobiByte is a context-aware application model that uses multiple data offloading techniques to support a wide range of applications. The proposed model is validated using prototype applications and detailed results are presented. Moreover, MobiByte is compared with the most recent application models with a conclusion that it outperforms the existing application models in many aspects like energy efficiency, performance, generality, context awareness, and privacy.
收起
摘要 :
In performing numerical structural analysis, computers are adept at "crunching" numbers but require close guidance from human users. Oftentimes, judgment and experience of seasoned users are necessary to obtain accurate results. F...
展开
In performing numerical structural analysis, computers are adept at "crunching" numbers but require close guidance from human users. Oftentimes, judgment and experience of seasoned users are necessary to obtain accurate results. Furthermore, for large and complicated simulations, the analyses may require excessive computational time. Web Services and the Semantic Web, emerging technologies based on the Internet, possess the potential to alleviate these problems by transforming the World-Wide Web from a large collection of information into an intelligent distributed computational device. In essence, Web Services are a new type of computer software that can be published, located and invoked across the Web, and the Semantic Web is a technology that can be used to facilitate the collaboration of Web services by enabling the computers accessing data on the Web to work intelligently. The joint applications of these technologies are termed Semantic Web Services. This paper presents an overview of the technologies essential to Web Services and the Semantic Web and proposes a framework for their joint application in the field of computational mechanics. The components of Web Services and the system architecture on which they interact are discussed. Ontology, the fundamental concept of the Semantic Web, is introduced, and a detailed description of the proposed framework for computational mechanics is given. Finally, a case study involving a typical problem in structural analysis and design, as well as its solution within the context of Semantic Web Services for computational mechanics, is presented to demonstrate the proposed framework.
收起
原文获取