Rweb:Web-based Statistical Analysis

Rweb is a freely accessible statistical analysis environment that is delivered through the World Wide Web (WWW). It is based on R, a well known statistical analysis package. The only requirement to run the basic Rweb interface is a WWW browser that supports forms. If you want graphical output you must, of course, have a browser that supports graphics. The interface provides access to WWW accessible data sets, so you may run Rweb on your own data. Rweb can provide a four window statistical computing environment (code input, text output, graphical output, and error information) through browsers that support Javascript. There is also a set of point and click modules under development for use in introductory statistics courses.

Reviews

500 Computing Tips for Teachers and Lecturers by Phil Race and Steve McDowell, London: Kogan Page, 1996. ISBN: 0–7494–1931–8. 135 pages, paperback. £15.99

Generating Narrative Spaces from Events History

For a successful distributed teamwork it is vital to provide team-members with awareness on collaborative activities. One way of achieving this is through applying a narrative based approach to construct the events that have taken place on documents and folders in a project workspace, as various members make changes to its content. The research presented in this paper investigates the possibility of exploring the history of activities performed by team members. Past events are aggregated in the form of a three dimensional environment time tunnel, providing the team-members with a generative tool to visualize the project?s events history in various configurations, in order to reveal the usually hidden relationships between separate pieces of events. Furthermore we provide a tool for managing and inspecting the folder?s contents: the DocuDrama Timetunnel. Here we present preliminary findings showing how the visualisation of a sequence of connected actions and happenings using a temporal and spatial narrative based approach may lead to a better understanding of the project-related events history

Web Texturizer: Exploring intra web document dependencies

The goal of this project is to create a customized web browser to facilitate the skimming of documents by offsetting the document with relevant information. This project added techniques of learning information retrieval to automate the web browsing experience to the web texturizer. The script runs on the web texturizer website; and it allows users to quickly navigate through the web page

QueryOR: a comprehensive web platform for genetic variant analysis and prioritization

Background: Whole genome and exome sequencing are contributing to the extraordinary progress in the study of human genetic variants. In this fast developing field, appropriate and easily accessible tools are required to facilitate data analysis. Results: Here we describe QueryOR, a web platform suitable for searching among known candidate genes as well as for finding novel gene-disease associations. QueryOR combines several innovative features that make it comprehensive, flexible and easy to use. Instead of being designed on specific datasets, it works on a general XML schema specifying formats and criteria of each data source. Thanks to this flexibility, new criteria can be easily added for future expansion. Currently, up to 70 user-selectable criteria are available, including a wide range of gene and variant features. Moreover, rather than progressively discarding variants taking one criterion at a time, the prioritization is achieved by a global positive selection process that considers all transcript isoforms, thus producing reliable results. QueryOR is easy to use and its intuitive interface allows to handle different kinds of inheritance as well as features related to sharing variants in different patients. QueryOR is suitable for investigating single patients, families or cohorts. Conclusions: QueryOR is a comprehensive and flexible web platform eligible for an easy user-driven variant prioritization. It is freely available for academic institutions at http://queryor.cribi.unipd.it/

Обучающая технологическая среда моделирования информационных процессов

Стаття присвячена опису спеціалізованого навчального технологічного середовища (ТС) моделювання, яку розраховано на одночасну роботу багатьох користувачів. Дана ТС застосовується для проведення практичних занять при вивченні пошуку в комп'ютерних інформаційних мережах, складних мереж, інформаційних потоків

Rweb:Web-based Statistical Analysis

Rweb is a freely accessible statistical analysis environment that is delivered through the World Wide Web (WWW). It is based on R, a well known statistical analysis package. The only requirement to run the basic Rweb interface is a WWW browser that supports forms. If you want graphical output you must, of course, have a browser that supports graphics. The interface provides access to WWW accessible data sets, so you may run Rweb on your own data. Rweb can provide a four window statistical computing environment (code input, text output, graphical output, and error information) through browsers that support Javascript. There is also a set of point and click modules under development for use in introductory statistics courses

SoyXpress: A database for exploring the soybean transcriptome

Abstract Background Experiments using whole transcriptome microarrays produce massive amounts of data. To gain a comprehensive understanding of this gene expression data it needs to be integrated with other available information such as gene function and metabolic pathways. Bioinformatics tools are essential to handle, organize and interpret the results. To date, no database provides whole transcriptome analysis capabilities integrated with terms describing biological functions for soybean (Glycine max (L) Merr.). To this end we have developed SoyXpress, a relational database with a suite of web interfaces to allow users to easily retrieve data and results of the microarray experiment with cross-referenced annotations of expressed sequence tags (EST) and hyperlinks to external public databases. This environment makes it possible to explore differences in gene expression, if any, between for instance transgenic and non-transgenic soybean cultivars and to interpret the results based on gene functional annotations to determine any changes that could potentially alter biological processes. Results SoyXpress is a database designed for exploring the soybean transcriptome. Currently SoyXpress houses 380,095 soybean Expressed Sequence Tags (EST), linked with metabolic pathways, Gene Ontology terms, SwissProt identifiers and Affymetrix gene expression data. Array data is presently available from an experiment profiling global gene expression of three conventional and two genetically engineered soybean cultivars. The microarray data is linked with the sequence data, for maximum knowledge extraction. SoyXpress is implemented in MySQL and uses a Perl CGI interface. Conclusion SoyXpress is designed for the purpose of exploring potential transcriptome differences in different plant genotypes, including genetically modified crops. Soybean EST sequences, microarray and pathway data as well as searchable and browsable gene ontology are integrated and presented. SoyXpress is publicly accessible at http://soyxpress.agrenv.mcgill.ca.</p