Dynamically forecasting network performance using the Network Weather Service

The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments. In this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different sites. Such network forecasts are needed both to support scheduling (Berman et al., 1996) and, by the metacomputing software infrastructure, to develop quality-of-service guarantees (DeFanti et al., to appear; Grimshaw et al., 1994). This revised version was published online in July 2006 with corrections to the Cover Date.     

Access to Orphan Drugs: A Comprehensive Review of Legislations,Regulations and Policies in 35 Countries

ObjectiveTo review existing regulations and policies utilised by countries to enable patient access to orphan drugs.MethodsA review of the literature (1998 to 2014) was performed to identify relevant, peer-reviewed articles. Using content analysis, we synthesised regulations and policies for access to orphan drugs by type and by country.ResultsFifty seven articles and 35 countries were included in this review. Six broad categories of regulation and policy instruments were identified: national orphan drug policies, orphan drug designation, marketing authorization, incentives, marketing exclusivity, and pricing and reimbursement. The availability of orphan drugs depends on individual country’s legislation and regulations including national orphan drug policies, orphan drug designation, marketing authorization, marketing exclusivity and incentives such as tax credits to ensure research, development and marketing. The majority of countries (27/35) had in place orphan drug legislation. Access to orphan drugs depends on individual country’s pricing and reimbursement policies, which varied widely between countries. High prices and insufficient evidence often limit orphan drugs from meeting the traditional health technology assessment criteria, especially cost-effectiveness, which may influence access.ConclusionsOverall many countries have implemented a combination of legislations, regulations and policies for orphan drugs in the last two decades. While these may enable the availability and access to orphan drugs, there are critical differences between countries in terms of range and types of legislations, regulations and policies implemented. Importantly, China and India, two of the largest countries by population size, both lack national legislation for orphan medicines and rare diseases, which could have substantial negative impacts on their patient populations with rare diseases.     

A Ruby API to query the Ensembl database for genomic features

The Ensembl database makes genomic features available via its Genome Browser. It is also possible to access the underlying data through a Perl API for advanced querying. We have developed a full-featured Ruby API to the Ensembl databases, providing the same functionality as the Perl interface with additional features. A single Ruby API is used to access different releases of the Ensembl databases and is also able to query multi-species databases. Availability and Implementation: Most functionality of the API is provided using the ActiveRecord pattern. The library depends on introspection to make it release independent. The API is available through the Rubygem system and can be installed with the command gem install ruby-ensembl-api.     

Civic integration policies from below: accounting for processes of convergence and divergence in four European cities

The introduction of integration tests on a pre-entry or post-arrival basis has drawn attention to changing national integration policies. Yet, at the local level, language and civic culture courses have often been implemented before the development of national programmes. The way these policies came into place and the extent to which they responded to similar challenges has often been overlooked. This article explores the development of these measures in four cities – Stuttgart, Vienna, Barcelona and Turin – to find out which mechanisms account for convergence in policymaking. Integration courses present traits of similarity in their contents and target groups; however, this does not imply a consistent process towards convergence. Local introduction initiatives are the product of local policy arenas, which display different policy frames of migrant integration. On the other hand, new legislation and changes in the available financial resources for integration appear to be crucial factors that trigger divergence.     

PUNCH: An architecture for Web-enabled wide-area network-computing

This paper addresses the architectural issues that arise in the design of a universally accessible wide-area network-computing system that is capable of making automatic cost/performance tradeoff decisions at run-time. The core system is designed around a three-level hierarchically distributed architecture, a choice driven by the dynamic, incremental, and distributed nature of the information associated with run-time cost/performance tradeoff decisions. Support for independent replication of each component in the hierarchy contributes to the overall scalability and reliability of the architecture. Meta-information is managed in a scalable manner by employing self-encoded resource identifiers that allow O(1) access to all managed information. Security and access control across administrative domains are provided by partitioning the infrastructure into independently-managed cells, and by giving administrators the ability to customize user-views directly at the location at which the request is processed. Demand-driven resource management is achieved by predicting the run-specific resource usage characteristics of tools via machine learning techniques. The concepts described in this paper are embodied in the Purdue University Network-Computing Hubs (PUNCH), a demand-based network-computing system that allows users to access and run unmodified tools via standard World Wide Web browsers. Tools do not have to be written in any particular language, and access to the source or object code is not required. The PUNCH infrastructure can be distributed in a manner that allows tools to be (user-transparently) executed wherever they reside. Currently, PUNCH contains over thirty tools developed by eight universities and four vendors, and serves more than five hundred users. During the past three years, PUNCH users have logged more than one million hits and have performed over seventy thousand simulations. This revised version was published online in July 2006 with corrections to the Cover Date.     

Glycosylation-independent Lysosomal Targeting of Acid α-Glucosidase Enhances Muscle Glycogen Clearance in Pompe Mice

We have used a peptide-based targeting system to improve lysosomal delivery of acid α-glucosidase (GAA), the enzyme deficient in patients with Pompe disease. Human GAA was fused to the glycosylation-independent lysosomal targeting (GILT) tag, which contains a portion of insulin-like growth factor II, to create an active, chimeric enzyme with high affinity for the cation-independent mannose 6-phosphate receptor. GILT-tagged GAA was taken up by L6 myoblasts about 25-fold more efficiently than was recombinant human GAA (rhGAA). Once delivered to the lysosome, the mature form of GILT-tagged GAA was indistinguishable from rhGAA and persisted with a half-life indistinguishable from rhGAA. GILT-tagged GAA was significantly more effective than rhGAA in clearing glycogen from numerous skeletal muscle tissues in the Pompe mouse model. The GILT-tagged GAA enzyme may provide an improved enzyme replacement therapy for Pompe disease patients.     

caBIONet--A .NET wrapper to access and process genomic data stored at the National Cancer Institute's Center for Bioinformatics databases

MOTIVATION: The National Cancer Institute's Center for Bioinformatics (NCICB) has developed a Java based data management and information system called caCORE. One component of this software suite is the object oriented API (caBIO) used to access the rich biological datasets collected at the NCI. This API can access the data using native Java classes, SOAP requests or HTTP calls. Non-Java based clients wanting to use this API have to use the SOAP or HTTP interfaces with the data being returned from the NCI servers as an XML data stream. Although the XML can be read and manipulated using DOM or SAX parsers, one loses the convenience and usability of an object oriented programming paradigm. caBIONet is a set of .NET wrapper classes (managers, genes, chromosomes, sequences, etc.) capable of serializing the XML data stream into local .NET objects. The software is able to search NCICB databases and provide local objects representing the data that can be manipulated and used by other .NET programs. The software was written in C# and compiled as a .NET DLL.     

A web service for biomedical term look-up

Recent years have seen a huge increase in the amount of biomedical information that is available in electronic format. Consequently, for biomedical researchers wishing to relate their experimental results to relevant data lurking somewhere within this expanding universe of on-line information, the ability to access and navigate biomedical information sources in an efficient manner has become increasingly important. Natural language and text processing techniques can facilitate this task by making the information contained in textual resources such as MEDLINE more readily accessible and amenable to computational processing. Names of biological entities such as genes and proteins provide critical links between different biomedical information sources and researchers' experimental data. Therefore, automatic identification and classification of these terms in text is an essential capability of any natural language processing system aimed at managing the wealth of biomedical information that is available electronically. To support term recognition in the biomedical domain, we have developed Termino, a large-scale terminological resource for text processing applications, which has two main components: first, a database into which very large numbers of terms can be loaded from resources such as UMLS, and stored together with various kinds of relevant information; second, a finite state recognizer, for fast and efficient identification and mark-up of terms within text. Since many biomedical applications require this functionality, we have made Termino available to the community as a web service, which allows for its integration into larger applications as a remotely located component, accessed through a standardized interface over the web.     

A RESTful API for Accessing Microbial Community Data for MG-RAST

Metagenomic sequencing has produced significant amounts of data in recent years. For example, as of summer 2013, MG-RAST has been used to annotate over 110,000 data sets totaling over 43 Terabases. With metagenomic sequencing finding even wider adoption in the scientific community, the existing web-based analysis tools and infrastructure in MG-RAST provide limited capability for data retrieval and analysis, such as comparative analysis between multiple data sets. Moreover, although the system provides many analysis tools, it is not comprehensive. By opening MG-RAST up via a web services API (application programmers interface) we have greatly expanded access to MG-RAST data, as well as provided a mechanism for the use of third-party analysis tools with MG-RAST data. This RESTful API makes all data and data objects created by the MG-RAST pipeline accessible as JSON objects. As part of the DOE Systems Biology Knowledgebase project (KBase, http://kbase.us) we have implemented a web services API for MG-RAST. This API complements the existing MG-RAST web interface and constitutes the basis of KBase''s microbial community capabilities. In addition, the API exposes a comprehensive collection of data to programmers. This API, which uses a RESTful (Representational State Transfer) implementation, is compatible with most programming environments and should be easy to use for end users and third parties. It provides comprehensive access to sequence data, quality control results, annotations, and many other data types. Where feasible, we have used standards to expose data and metadata. Code examples are provided in a number of languages both to show the versatility of the API and to provide a starting point for users. We present an API that exposes the data in MG-RAST for consumption by our users, greatly enhancing the utility of the MG-RAST service.     

Security Implications of Typical Grid Computing Usage Scenarios

Grid Computing consists of a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users uniform access to these resources. There are many ways to access the resources of a Grid, each with unique security requirements and implications for both the resource user and the resource provider. A comprehensive set of Grid usage scenarios is presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality. The main value of these scenarios and the associated security discussions is to provide a library of situations against which an application designer can match, thereby facilitating security-aware application use and development from the initial stages of the application design and invocation. A broader goal of these scenarios is to increase the awareness of security issues in Grid Computing.     

Identification of the base-pair substitution responsible for a human acid alpha glucosidase allele with lower "affinity" for glycogen (GAA 2) and transient gene expression in deficient cells

The lysosomal enzyme termed acid alpha glucosidase (GAA), or acid maltase, is genetically polymorphic, with three alleles segregating in the normal population. The rarer GAA 2 allozyme has a lower affinity for glycogen and starch but not for lower-molecular-weight substrates. The GAA 2 allozyme can be detected by "affinity" electrophoresis in starch gel, since the lower affinity for the starch matrix results in a more rapid migration to the anode. Previously, we have isolated and sequenced the cDNA for GAA and transiently expressed the cDNA in deficient fibroblasts. In order to determine the molecular basis for the GAA 2 allozyme, we constructed a cDNA and a genomic DNA library from a GAA 2 cell line and determined the nucleotide sequence of the coding region. Only a single base-pair substitution of an A for a G at base-pair 271 was found, resulting in substitution of asparagine for aspartic acid at codon 91. This amino acid substitution is consistent with the more basic pI of the GAA 2 enzyme. The base-pair substitution also abolishes a Taq-I site, predicting the generation of a larger DNA fragment. This larger Taq-I fragment was also seen in two other individuals expressing the GAA 2 allozyme. A 5' fragment containing the base-pair substitution was ligated to the remaining 3' cDNA from a GAA 1 allele and cloned into an expression vector, and the hybrid cDNA was transiently expressed in SV40-transformed GAA-deficient fibroblasts. The enzyme activity exhibited the altered mobility of the GAA 2 allozyme, as demonstrated by electrophoresis in starch gel.(ABSTRACT TRUNCATED AT 250 WORDS)     

Interfaces to PeptideAtlas: a case study of standard data access systems

Access to public data sets is important to the scientific community as a resource to develop new experiments or validate new data. Projects such as the PeptideAtlas, Ensembl and The Cancer Genome Atlas (TCGA) offer both access to public data and a repository to share their own data. Access to these data sets is often provided through a web page form and a web service API. Access technologies based on web protocols (e.g. http) have been in use for over a decade and are widely adopted across the industry for a variety of functions (e.g. search, commercial transactions, and social media). Each architecture adapts these technologies to provide users with tools to access and share data. Both commonly used web service technologies (e.g. REST and SOAP), and custom-built solutions over HTTP are utilized in providing access to research data. Providing multiple access points ensures that the community can access the data in the simplest and most effective manner for their particular needs. This article examines three common access mechanisms for web accessible data: BioMart, caBIG, and Google Data Sources. These are illustrated by implementing each over the PeptideAtlas repository and reviewed for their suitability based on specific usages common to research. BioMart, Google Data Sources, and caBIG are each suitable for certain uses. The tradeoffs made in the development of the technology are dependent on the uses each was designed for (e.g. security versus speed). This means that an understanding of specific requirements and tradeoffs is necessary before selecting the access technology.     

Phylogenetic Analysis of the Friedreich Ataxia GAA Trinucleotide Repeat

Friedreich ataxia is an autosomal recessive neurodegenerative disorder associated with a GAA repeat expansion in the first intron of the gene (FRDA) encoding a novel, highly conserved, 210 amino acid protein known as frataxin. Normal variation in repeat size was determined by analysis of more than 600 DNA samples from seven human populations. This analysis showed that the most frequent allele had nine GAA repeats, and no alleles with fewer than five GAA repeats were found. The European and Syrian populations had the highest percentage of alleles with 10 or more GAA repeats, while the Papua New Guinea population did not have any alleles carrying more than 10 GAA repeats. The distributions of repeat sizes in the European, Syrian, and African American populations were significantly different from those in the Asian and Papua New Guinea populations (p < 0.001). The GAA repeat size was also determined in five nonhuman primates. Samples from 10 chimpanzees, 3 orangutans, 1 gorilla, 1 rhesus macaque, 1 mangabey, and 1 tamarin were analyzed. Among those primates belonging to the Pongidae family, the chimpanzees were found to carry three or four GAA repeats, the orangutans had four or five GAA repeats, and the gorilla carried three GAA repeats. In primates belonging to the Cercopithecidae family, three GAA repeats were found in the mangabey and two in the rhesus macaque. However, an AluY subfamily member inserted in the poly(A) tract preceding the GAA repeat region in the rhesus macaque, making the amplified sequence approximately 300 bp longer. The GAA repeat was also found in the tamarin, suggesting that it arose at least 40 million years ago and remained relatively small throughout the majority of primate evolution, with a punctuated expansion in the human genome. Received: 18 August 2000 / Accepted: 10 November 2000     

A Distributed Multi-Storage Resource Architecture and I/O Performance Prediction for Scientific Computing

I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity requirements in a conventional computing environment. Further performance improvement is impeded by the physical nature of these storage media even when state-of-the-art I/O optimizations are employed.In this paper, we present a distributed multi-storage resource architecture, which can satisfy both performance and capacity requirements by employing multiple storage resources. Compared to a traditional single storage resource architecture, our architecture provides a more flexible and reliable computing environment. This architecture can bring new opportunities for high performance computing as well as inherit state-of-the-art I/O optimization approaches that have already been developed. It provides application users with high-performance storage access even when they do not have the availability of a single large local storage archive at their disposal. We also develop an Application Programming Interface (API) that provides transparent management and access to various storage resources in our computing environment. Since I/O usually dominates the performance in I/O intensive applications, we establish an I/O performance prediction mechanism which consists of a performance database and a prediction algorithm to help users better evaluate and schedule their applications. A tool is also developed to help users automatically generate performance data stored in databases. The experiments show that our multi-storage resource architecture is a promising platform for high performance distributed computing.