Web-based Repository Research Articles

Management of recurrent and persistent metastatic lymph nodes in well‐differentiated thyroid cancer: A multifactorial decision‐making guide for the thyroid cancer care collaborative

Well-differentiated thyroid cancer (WDTC) recurs in up to 30% of patients. Guidelines from the American Thyroid Association (ATA) and the National Comprehensive Cancer Network (NCCN) provide valuable parameters for the management of recurrent disease, but fail to guide the clinician as to the multitude of factors that should be taken into account. The Thyroid Cancer Care Collaborative (TCCC) is a web-based repository of a patient's clinical information. Ten clinical decision-making modules (CDMMs) process this information and display individualized treatment recommendations. We conducted a review of the literature and analysis of the management of patients with recurrent/persistent WDTC. Surgery remains the most common treatment in recurrent/persistent WDTC and can be performed with limited morbidity in experienced hands. However, careful observation may be the recommended course in select patients. Reoperation yields biochemical remission rates between 21% and 66%. There is a reported 1.2% incidence of permanent unexpected nerve paralysis and a 3.5% incidence of permanent hypoparathyroidism. External beam radiotherapy and percutaneous ethanol ablation have been reported as therapeutic alternatives. Radioactive iodine as a primary therapy has been reported previously for metastatic lymph nodes, but is currently advocated by the ATA as an adjuvant to surgery. The management of recurrent lymph nodes is a multifactorial decision and is best determined by a multidisciplinary team. The CDMMs allow for easy adoption of contemporary knowledge, making this information accessible to both patient and clinician.

Development of a Web-Based Repository for Sharing Biomedical Terminology From Systematic Review Searches: A Case Study

Requests for comprehensive searches, such as searches to support systematic reviews, seem to be evolving into routine practice in the health sciences library environment. Collecting terminology for these searches is often a time-consuming process. This case study reports on the development of a searchable web-based repository, MedTerm Search Assist, as a means for librarians to share biomedical terminology from systematic review searches.

A web-based GIS enabled soil information system for the United Arab Emirates and its applicability in agricultural land use planning

A comprehensive soil information system was identified as essential for land use planning decisions, especially for sustainable agriculture and natural resources conservation in the United Arab Emirates (UAE). The lack of such a system limits the capacity of government, businesses, policy makers, and land users to make sustainable land use planning decisions, and considerably hampers land degradation assessments and adaptive sustainable land management interventions. This paper presents a solution developed to disseminate value-added soil information gathered from soil surveys, enabling decision makers, policy formulators, land use planners, and agriculturalists to efficiently manage soil resources. The UAE Soil Information System (UAESIS, www.uaesis.ae ) is a web-based repository of soil data with geographical representation and provides descriptive, quantitative, and geographical data in a simple interface. The system has a number of components including a geospatial soil database, a field operating system, and a highly intuitive web-based secure application. This paper highlights the structure, capabilities, functions, benefits, applications, and uses of the UAESIS. Two case studies demonstrate the application of the system to evaluation of land suitable for date palm production and the growth of salt tolerant crops are presented

NCG 4.0: the network of cancer genes in the era of massive mutational screenings of cancer genomes

NCG 4.0 is the latest update of the Network of Cancer Genes, a web-based repository of systems-level properties of cancer genes. In its current version, the database collects information on 537 known (i.e. experimentally supported) and 1463 candidate (i.e. inferred using statistical methods) cancer genes. Candidate cancer genes derive from the manual revision of 67 original publications describing the mutational screening of 3460 human exomes and genomes in 23 different cancer types. For all 2000 cancer genes, duplicability, evolutionary origin, expression, functional annotation, interaction network with other human proteins and with microRNAs are reported. In addition to providing a substantial update of cancer-related information, NCG 4.0 also introduces two new features. The first is the annotation of possible false-positive cancer drivers, defined as candidate cancer genes inferred from large-scale screenings whose association with cancer is likely to be spurious. The second is the description of the systems-level properties of 64 human microRNAs that are causally involved in cancer progression (oncomiRs). Owing to the manual revision of all information, NCG 4.0 constitutes a complete and reliable resource on human coding and non-coding genes whose deregulation drives cancer onset and/or progression. NCG 4.0 can also be downloaded as a free application for Android smart phones.Database URL: http://bio.ieo.eu/ncg/

STEM@1000mph: Developing Open Educational Resources in a Live Engineering Project

Higher education institutions are recognising the clear benefits of open educational resources, and academics are engaging with the development of these resources. This paper presents a case study of OERs being developed using the live, current BloodhoundSSC world land speed record project as a basis. The paper outlines the rationale for the BloodhoundSSC project and its focus on educational engagement across the age spectrum. The work undertaken to develop a web-based repository along with activities to stimulate academic and student engagement are described. The paper explores how academics have engaged with developing OERs based on this openly available content, the issues encountered and ways in which these issues can be mitigated.

THE ROLE OF BLEEDING HISTORY AND CLINICAL MARKERS FOR THE CORRECT DIAGNOSIS OF VWD

Quantification of the bleeding severity by use of bleeding assessment tools (BAT) and bleeding score (BS) has been consistently shown to improve the clinical diagnosis of von Willebrand disease (VWD) while helping researchers establish phenotype/genotype correlations. Subjects with a BS equal or higher than 3 may be consider having a bleeding tendency, and should be referred for a laboratory investigation, particularly for VWD. In the diagnosis of type 1 VWD, the use of the BS has been shown to be highly specific (>95%) with reported sensitivities ranging from 40 to 100%. The BS is related to all available measurements of von Willebrand factor activity, including the PFA-100 closure time. Therefore, in clinical practice the use of BAT should always be the first step to standardize the assessment of patients with suspected VWD. The use of the recent ISTH consensus BAT is suggested to harmonize the collection of bleeding symptoms in patients with a suspected or confirmed hemostatic disorder, particularly VWD. The ISTH BAT is also coupled with a Web-based repository of bleeding symptoms, therefore providing an integrated framework for collaboration in the field of clinical evaluation of VWD and mild bleeding disorders.

Abstract 5141: GenomeSpace: an environment for frictionless bioinformatics.

Abstract Over the past several years, cancer genome characterization initiatives such as The Cancer Genome Atlas, International Cancer Genome Consortium, and the Tumor Sequencing Project have produced an explosion of genomic data. The pace of data production has increased with the adoption of next-generation sequencing technologies and large-scale data production efforts to discover the breadth of genomic variation in humans. Comprehensive analysis of these datasets requires the coordinated use of Web-based data repositories and applications, desktop analysis tools and visualizers, and single-purpose algorithms. However, the effort required to transfer data between tools, convert between data formats, and manage results often prevents researchers from utilizing the wealth of methods available to them. Many integrative genomics and translational “bench to bedside” discoveries are possible with combinations of existing tools, but the necessary transitions between them puts them out of the reach of most researchers. Cloud technologies have produced a new wave of applications that transfer next-generation sequence data directly from sequencers to a compute cloud for storage and analysis, but these systems are at an early stage of maturity and many are tied to commercial sequencing vendors. GenomeSpace, http://www.genomespace.org, is an environment that brings together diverse computational tools, enabling scientists without programming skills to easily combine their capabilities. It aims to offer a common space to create, manipulate and share an ever-growing range of genomic analysis tools. GenomeSpace features support for cloud-based data storage and analysis, multi-tool analytic workflows, automatic conversion of data formats, and ease of connecting new tools to the environment. A set of six “GenomeSpace-enabled” seed tools developed by collaborating organizations provides a comprehensive platform for the analysis of cancer data: Cytoscape (UCSD), Galaxy (Penn State University), GenePattern (Broad Institute), Genomica (Weitzmann Institute), Integrative Genomics Viewer (Broad Institute), and the UCSC Genome Browser (UCSC). The extensible format of the system has empowered a wider range of cancer analyses through the addition of ArrayExpress (European Bioinformatics Institute), InSilico DB (University of Brussels), geWorkbench (Columbia University), and Cistrome (Dana-Farber Cancer Institute). We show how researchers can use GenomeSpace to effortlessly combine the capabilities of all of these tools in several cancer research scenarios. Citation Format: Michael Reich, John Liefeld, Helga Thorvaldsdottir, Marco Ocana, Thorin Tabor, DK Jang, Jill P. Mesirov. GenomeSpace: an environment for frictionless bioinformatics. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5141. doi:10.1158/1538-7445.AM2013-5141

BROA: An agent-based model to recommend relevant Learning Objects from Repository Federations adapted to learner profile

Learning Objects (LOs) are distinguished from traditional educational resources for their easy and quickly availability through Web-based repositories, from which they are accessed through their metadata. In addition, having a user profile allows an educational recommender system to help the learner to find the most relevant LOs based on their needs and preferences. The aim of this paper is to propose an agent-based model so-called BROA to recommend relevant LOs recovered from Repository Federations as well as LOs adapted to learner profile. The model proposed uses both role and service models of GAIA methodology, and the analysis models of the MAS- CommonKADS methodology. A prototype was built based on this model and validated to obtain some assessing results that are finally presented.

Introducing the Canadian Thoracic Society Framework for Guideline Dissemination and Implementation, with Concurrent Evaluation

The Canadian Thoracic Society (CTS) is leveraging its strengths in guideline production to enable respiratory guideline implementation in Canada. The authors describe the new CTS Framework for Guideline Dissemination and Implementation, with Concurrent Evaluation, which has three spheres of action: guideline production, implementation infrastructure and knowledge translation (KT) methodological support. The Canadian Institutes of Health Research 'Knowledge-to-Action' process was adopted as the model of choice for conceptualizing KT interventions. Within the framework, new evidence for formatting guideline recommendations to enhance the intrinsic implementability of future guidelines were applied. Clinical assemblies will consider implementability early in the guideline production cycle when selecting clinical questions, and new practice guidelines will include a section dedicated to KT. The framework describes the development of a web-based repository and communication forum to inventory existing KT resources and to facilitate collaboration and communication among implementation stakeholders through an online discussion board. A national forum for presentation and peer-review of proposed KT projects is described. The framework outlines expert methodological support for KT planning, development and evaluation including a practical guide for implementers and a novel 'Clinical Assembly-KT Action Team', and in-kind logistical support and assistance in securing peer-reviewed funding.

A Grid-enabled web platform for integrated digital biobanking in paediatrics

A Grid-enabled web platform for integrated digital biobanking in paediatrics

Identifying and understanding urban sport areas using Nokia Sports Tracker

Current advancements in pervasive technologies allow users to create and share an increasing amount of whereabouts data. Thus, some rich datasets on human mobility are becoming available on the web. In this paper we extracted approximately 790,000 mobility traces from a web-based repository of GPS tracks—the Nokia Sports Tracker Service. Using data mining mechanisms, we show that this data can be analyzed to uncover daily routines and interesting schemes in the use of public spaces. We first show that our approach supports large-scale analysis of people’s whereabouts by comparing behavioral patterns across cities. Then, using Kernel Density Estimation, we present a mechanism to identify popular sport areas in individual cities. This kind of analysis allows us to highlight human-centered geographies that can support a wide range of applications ranging from location-based services to urban planning.

A semantic approach for the requirement-driven discovery of web resources in the Life Sciences

Research in the Life Sciences depends on the integration of large, distributed and heterogeneous web resources (e.g., data sources and web services). The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there are many candidate resources and there is little, mostly unstructured, metadata to be able to decide among them. In this paper, we contribute to a semi-automatic approach, based on semantic techniques, to assist researchers in the discovery of the most appropriate web resources to fulfill a set of requirements. The main feature of our approach is that it exploits broad knowledge resources in order to annotate the unstructured texts that are available in the emerging web-based repositories of web resource metadata. The results show that the web resource discovery process benefits from a semantic-based approach in several important aspects. One of the advantages is that the user can express her requirements in natural language avoiding the use of specific vocabularies or query languages. Moreover, the discovery exploits not only the categories or tags of web resources, but also their description and documentation.

Abstract 3966: GenomeSpace: An environment for frictionless bioinformatics

Abstract Over the past several years, cancer genome characterization initiatives such as The Cancer Genome Atlas and the Tumor Sequencing Project have produced an explosion of genomic data. The pace of data production has recently increased with the adoption of next-generation sequencing technologies and large-scale data production efforts to discover the breadth of genomic variation in humans. Comprehensive analysis of these datasets requires the coordinated use of Web-based applications and data repositories, desktop analysis tools and visualizers, and single-purpose algorithms. However, the effort required to transfer data between tools, convert between data formats, and manage results often prevents researchers from utilizing the wealth of methods available to them. Many integrative genomics and translational “bench to bedside” discoveries are possible with combinations of existing tools, but the necessary transitions between them puts them out of the reach of most researchers. GenomeSpace, http://www.genomespace.org, is an environment that brings together diverse computational tools, enabling scientists without programming skills to easily combine their capabilities. It aims to offer a common space to create, manipulate and share an ever-growing range of genomic analysis tools. GenomeSpace features support for cloud-based data storage and analysis, multi-tool analytic workflows, automatic conversion of data formats, and ease of connecting new tools to the environment. A set of six “GenomeSpace-enabled” seed tools developed by collaborating organizations provides a comprehensive platform for the analysis of cancer data: Cytoscape (UCSD), Galaxy (Penn State University), GenePattern (Broad Institute), Genomica (Weitzmann Institute), Integrative Genomics Viewer (Broad Institute), and the UCSC Genome Browser (UCSC). We show how researchers can use GenomeSpace to effortlessly combine the capabilities of all of these tools in several cancer research scenarios. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3966. doi:1538-7445.AM2012-3966

Abstract 5521: Development of a web-based patient registry and DNA repository for pediatric cancer research in individuals with neurofibromatosis type 1

Abstract Individuals with hereditary cancer syndromes represent unique study populations to elucidate the genetic, environmental, and clinical factors that influence cancer development and outcome. In this regard, research leveraging these populations has led to landmark discoveries that have advanced our understanding of cancer pathogenesis and prognosis. Neurofibromatosis type 1 (NF1) is one of the most common hereditary cancer syndromes, in which affected individuals are at risk for the development of several benign and malignant cancers. Despite the high frequency of tumorigenesis in this population, factors that predict tumor development and outcomes are poorly defined. To facilitate progress in this area, we have launched the NF1 Patient Registry Initiative (NPRI) and the NF1 Genome Project. The NPRI is a web-based patient-driven registry. Any individual with a NF1 diagnosis is eligible to participate. Participants provide contact information and complete a 30-45 minute questionnaire that captures demographic data, medical history, social history, and inquires whether they are interested in participating in future research studies and providing biological samples. Yearly reminders are sent requesting that participants update their information to allow for longitudinal study of outcomes in this population. From 5/17/2011-11/1/2011, 100 participants have provided contact information, of which 80% have completed the questionnaire. To date, participants include residents of 28 U.S. states and 11 countries spanning 6 continents. The mean age of the participants is 30 years (range 1-77 years), where fifty eight percent are female and 84% are white (race). Approximately half of all participants reported a family history of NF1 (46%). Fourteen pediatric brain cancers (diagnosed <20 years) were reported with a mean diagnosis age of 4 years (range 1-10 years), fifty percent of whom are female. Ninety percent of participants indicated their willingness to be contacted in the future and to provide biological samples for research. The NF1 Genome Project is an initiative developed to collect genomic DNA samples from individuals with NF1 for genome-wide association studies (GWAS). Based on encouraging preliminary GWAS data, future sequencing-based investigations are planned to identify genetic risk modifiers of pediatric tumor susceptibility. To date, a total of 156 participants have provided DNA samples and clinical data. Together, the NPRI and NF1 Genome Project provide unprecedented and viable mechanisms for assembling patients with rare diseases from across the world to discover genomic and non-genomic factors that influence cancer development and progression in a model cancer predisposition syndrome. The insights gained from these studies will not only benefit individuals with NF1, but also serve as foundations for the study of other rare tumor syndromes. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5521. doi:1538-7445.AM2012-5521

A Web-based archive of systematic review data.

Systematic reviews have become increasingly critical to informing healthcare policy; however, they remain a time-consuming and labor-intensive activity. The extraction of data from constituent studies comprises a significant portion of this effort, an activity which is often needlessly duplicated, such as when attempting to update a previously conducted review or in reviews of overlapping topics.In order to address these inefficiencies, and to improve the speed and quality of healthcare policy- and decision-making, we have initiated the development of the Systematic Review Data Repository, an open collaborative Web-based repository of systematic review data. As envisioned, this resource would serve as both a central archive and data extraction tool, shared among and freely accessible to organizations producing systematic reviews worldwide. A suite of easy-to-use software tools with a Web frontend would enable researchers to seamlessly search for and incorporate previously deposited data into their own reviews, as well as contribute their own.In developing this resource, we identified a number of technical and non-technical challenges, as well as devised a number of potential solutions, including proposals for systems and software tools to assure data quality, stratify and control user access effectively and flexibly accommodate all manner of study data, as well as means by which to govern and foster adoption of this new resource.Herein we provide an account of the rationale and development of the Systematic Review Data Repository thus far, as well as outline its future trajectory.

RNA-Seq Atlas—a reference database for gene expression profiling in normal tissue by next-generation sequencing

Next-generation sequencing technology enables an entirely new perspective for clinical research and will speed up personalized medicine. In contrast to microarray-based approaches, RNA-Seq analysis provides a much more comprehensive and unbiased view of gene expression. Although the perspective is clear and the long-term success of this new technology obvious, bioinformatics resources making these data easily available especially to the biomedical research community are still evolving. We have generated RNA-Seq Atlas, a web-based repository of RNA-Seq gene expression profiles and query tools. The website offers open and easy access to RNA-Seq gene expression profiles and tools to both compare tissues and find genes with specific expression patterns. To enlarge the scope of the RNA-Seq Atlas, the data were linked to common functional and genetic databases, in particular offering information on the respective gene, signaling pathway analysis and evaluation of biological functions by means of gene ontologies. Additionally, data were linked to several microarray gene profiles, including BioGPS normal tissue profiles and NCI60 cancer cell line expression data. Our data search interface allows an integrative detailed comparison between our RNA-Seq data and the microarray information. This is the first database providing data mining tools and open access to large scale RNA-Seq expression profiles. Its applications will be versatile, as it will be beneficial in identifying tissue specific genes and expression profiles, comparison of gene expression profiles among diverse tissues, but also systems biology approaches linking tissue function to gene expression changes. http://medicalgenomics.org/rna_seq_atlas.

3D reality-based artefact models for the management of archaeological sites using 3D Gis: a framework starting from the case study of the Pompeii Archaeological area

This work describes the procedures, the different techniques and the pipeline used for creating a digital framework that should assist the Superintendence of Pompeii in the digital reconstruction, classification, management and visualisation of archaeological finds inside an advanced 3D web-based repository of reality-based data. Specific topics have been focused on the quality assessment procedures adopted to ensure consistency and reliability of data throughout the whole 3D models acquisition and pipeline creation, as well as on the particular semantic reality-based structure adopted to develop an information system into a knowledge one. The main purposes of our framework have been the usage of 3D digital models as a restitution of the real object and as a metaphor for navigating through the data; 3D models were used as archaeological cognitive systems and developed as a collection of structured objects, identified through a precise terminology that allows to easily extend the concept of 2D GIS to 3D GIS. In addition, the system was developed as a scalable application that allows the use of the same database by different users, simply filtering the data according to the specific requirements, and can operate both as standalone and web-based application.

Multilingual Medical Data Models in ODM Format

Semantic interoperability between routine healthcare and clinical research is an unsolved issue, as information systems in the healthcare domain still use proprietary and site-specific data models. However, information exchange and data harmonization are essential for physicians and scientists if they want to collect and analyze data from different hospitals in order to build up registries and perform multicenter clinical trials. Consequently, there is a need for a standardized metadata exchange based on common data models. Currently this is mainly done by informatics experts instead of medical experts. We propose to enable physicians to exchange, rate, comment and discuss their own medical data models in a collaborative web-based repository of medical forms in a standardized format. Based on a comprehensive requirement analysis, a web-based portal for medical data models was specified. In this context, a data model is the technical specification (attributes, data types, value lists) of a medical form without any layout information. The CDISC Operational Data Model (ODM) was chosen as the appropriate format for the standardized representation of data models. The system was implemented with Ruby on Rails and applies web 2.0 technologies to provide a community based solution. Forms from different source systems - both routine care and clinical research - were converted into ODM format and uploaded into the portal. A portal for medical data models based on ODM-files was implemented (http://www.medical-data-models.org). Physicians are able to upload, comment, rate and download medical data models. More than 250 forms with approximately 8000 items are provided in different views (overview and detailed presentation) and in multiple languages. For instance, the portal contains forms from clinical and research information systems. The portal provides a system-independent repository for multilingual data models in ODM format which can be used by physicians. It serves as a platform for discussion and enables the exchange of multilingual medical data models in a standardized way.

A core reference ontology for the customer relationship domain

Customer Relationship Management (CRM) has emerged as an important strategy that companies should implement in order to build profitable and stable relationships with their customer. The domain of CRM has peculiar characteristics: a CRM strategy is largely independent from the specific market sector, it requires multiple units cooperation, it implies the management of a huge amount of knowledge, it is fruitfully supported by software solutions, and finally it implies the integration of human and machine activities. These characteristics suggest that both companies aiming at implementing an efficient CRM strategy, and software houses offering ICT solutions supporting CRM would take great advantage from a common semantic model of CRM. The main contribution of this paper is thus the proposal of O-CREAM-v2, a core reference ontology lbr the CRM domain, specifically targeted to Small and Medium Sized Enterprises (SME). The design of O-CREAM-v2 has been based on requirements mainly elicited from a domain analysis, which considered the way the involved actors talk about CRM within their business, by analyzing documents and interviews with representatives of SME and ICT companies. Moreover, in order to guarantee accuracy in the definition of the basic concepts and to support interoperability within/between companies, O-CREAM-v2 has been developed within the framework provided by the well-known DOLCE foundational ontology, together with three DOLCE extensions, i.e. the ontology of Descriptions and Situations, the Ontology of Intbrmation Objects and the Ontology of Plans. O-CREAM-v2 is composed by two layers: an upper core, which models more general concepts and relations, and can be useful also in business domains other than CRM, and a lower core, representing concepts and relations specific to the CRM domain. The content requirements defined by the domain analysis pointed out that an ontology for the CRM domain has to account for both particulars (such as activities, otters, sales, etc.) and information about them (customer records, reports about sales, etc.). Moreover, since CRM is typically supported by software tools, O-CREAM-v2 includes the formal characterization of software applications. Thus, O-CREAM-v2 is structured into five modules: Relationships, Knowledge, Activities (all three spanning both the upper and the lower core), Software and Miscellaneous (both limited to the upper core). The five ()-CREAM modules arc described in details in the paper. The discussion is concluded by mentioning two possible exploitation perspectives for O-CREAM-v2, which could be the basis for building: (a) Web-based repositories supporting the mediation between supply and demand of CRM-related tools; (b) tools supporting users in building the formal representations of resources in ontology-based IR systems and in the semantic search engines application field.

EXframe: reusable framework for storage, analysis and visualization of genomics experiments

BackgroundGenome-wide experiments are routinely conducted to measure gene expression, DNA-protein interactions and epigenetic status. Structured metadata for these experiments is imperative for a complete understanding of experimental conditions, to enable consistent data processing and to allow retrieval, comparison, and integration of experimental results. Even though several repositories have been developed for genomics data, only a few provide annotation of samples and assays using controlled vocabularies. Moreover, many of them are tailored for a single type of technology or measurement and do not support the integration of multiple data types.ResultsWe have developed eXframe - a reusable web-based framework for genomics experiments that provides 1) the ability to publish structured data compliant with accepted standards 2) support for multiple data types including microarrays and next generation sequencing 3) query, analysis and visualization integration tools (enabled by consistent processing of the raw data and annotation of samples) and is available as open-source software. We present two case studies where this software is currently being used to build repositories of genomics experiments - one contains data from hematopoietic stem cells and another from Parkinson's disease patients.ConclusionThe web-based framework eXframe offers structured annotation of experiments as well as uniform processing and storage of molecular data from microarray and next generation sequencing platforms. The framework allows users to query and integrate information across species, technologies, measurement types and experimental conditions. Our framework is reusable and freely modifiable - other groups or institutions can deploy their own custom web-based repositories based on this software. It is interoperable with the most important data formats in this domain. We hope that other groups will not only use eXframe, but also contribute their own useful modifications.