IMF Conditionality as Investment Regulation - A Theoretical Analysis

This article examines the intersection between the International Monetary Fund (“IMF”) and foreign investment. Although the IMF was not originally designed to regulate foreign investment, IMF policies have famously required capital account liberalization as a condition for access to IMF credit. This article explores the implications of such conditionality and finds it problematic. Investment conditionality is outside the IMF’s mandate, difficult to reconcile with other existing investment regulation instruments, inimical to democracy and potentially destabilizing to the debtor country, and ineffective at ensuring long-term stable change. These conclusions necessitate a reappraisal of the governance and operations of the IMF

Who, then, is my neighbour really? : contractual relational economic loss in New Zealand

This article is concerned with the issue of when contractual relational economic loss is, and should be, recoverable in New Zealand.Traditionally this question has been narrowly framed as a debate over whether an ancient legal rule should continue to apply. Recent cases, however, have injected this rule with modern analysis. It has become clear that the debate over the rule is really a debate over which concepts should control negligence liability. This article examines both the rule and its modern day implications. The article examines in turn the New Zealand approach, comparative approaches, and the conceptual underpinnings of the debate. The sophisticated Canadian jurisprudence receives particular emphasis. The conclusion is that not only should New Zealand courts reaffirm the old rule, but that doing so now requires a radical rethinking of the basic New Zealand approach to the law of negligence

The BioJS article collection of open source components for biological data visualisation.

Data-driven research has gained momentum in the life sciences. Visualisation of these data is essential for quick generation of hypotheses and their translation into useful knowledge. BioJS is a new proposed standard for JavaScript-based components to visualise biological data. BioJS is an open source community project that to date provides 39 different components contributed by a global community. Here, we present the BioJS F1000Research collection series. A total of 12 components and a project status article are published in bulk. This collection does not intend to be an all-encompassing, comprehensive source of BioJS articles, but an initial set; future submissions from BioJS contributors are welcome

Network community cluster-based analysis for the identification of potential leukemia drug targets

Leukemia is a hematologic cancer which develops in blood tissue and causes rapid generation of immature and abnormal-shaped white blood cells. It is one of the most prominent causes of death in both men and women for which there is currently not an effective treatment. For this reason, several therapeutical strategies to determine potentially relevant genetic factors are currently under development, as targeted therapies promise to be both more effective and less toxic than current chemotherapy. In this paper, we present a network community cluster-based analysis for the identification of potential gene drug targets for acute lymphoblastic leukemia and acute myeloid leukemia.Peer ReviewedPostprint (author's final draft

BioJS: An open source standard for biological visualisation - its status in 2014

BioJS is a community-based standard and repository of functional components to represent biological information on the web. The development of BioJS has been prompted by the growing need for bioinformatics visualisation tools to be easily shared, reused and discovered. Its modular architecture makes it easy for users to find a specific functionality without needing to know how it has been built, while components can be extended or created for implementing new functionality. The BioJS community of developers currently provides a range of functionality that is open access and freely available. A registry has been set up that categorises and provides installation instructions and testing facilities at http://www.ebi.ac.uk/tools/biojs/. The source code for all components is available for ready use at https://github.com/biojs/biojs

modMine: flexible access to modENCODE data.

In an effort to comprehensively characterize the functional elements within the genomes of the important model organisms Drosophila melanogaster and Caenorhabditis elegans, the NHGRI model organism Encyclopaedia of DNA Elements (modENCODE) consortium has generated an enormous library of genomic data along with detailed, structured information on all aspects of the experiments. The modMine database (http://intermine.modencode.org) described here has been built by the modENCODE Data Coordination Center to allow the broader research community to (i) search for and download data sets of interest among the thousands generated by modENCODE; (ii) access the data in an integrated form together with non-modENCODE data sets; and (iii) facilitate fine-grained analysis of the above data. The sophisticated search features are possible because of the collection of extensive experimental metadata by the consortium. Interfaces are provided to allow both biologists and bioinformaticians to exploit these rich modENCODE data sets now available via modMine

InterMine: extensive web services for modern biology.

InterMine (www.intermine.org) is a biological data warehousing system providing extensive automatically generated and configurable RESTful web services that underpin the web interface and can be re-used in many other applications: to find and filter data; export it in a flexible and structured way; to upload, use, manipulate and analyze lists; to provide services for flexible retrieval of sequence segments, and for other statistical and analysis tools. Here we describe these features and discuss how they can be used separately or in combinations to support integrative and comparative analysis