On Generation of Firewall Log Status Reporter (SRr) Using Perl

Computer System Administration and Network Administration are few such areas where Practical Extraction Reporting Language (Perl) has robust utilization these days apart from Bioinformatics. The key role of a System/Network Administrator is to monitor log files. Log file are updated every day. To scan the summary of large log files and to quickly determine if there is anything wrong with the server or network we develop a Firewall Log Status Reporter (SRr). SRr helps to generate the reports based on the parameters of interest. SRr provides the facility to admin to generate the individual firewall report or all reports in one go. By scrutinizing the results of the reports admin can trace how many times a particular request has been made from which source to which destination and can track the errors easily. Perl scripts can be seen as the UNIX script replacement in future arena and SRr is one development with the same hope that we can believe in. SRr is a generalized and customizable utility completely written in Perl and may be used for text mining and data mining application in Bioinformatics research and development too.Comment: 10Page

Distributed and parallel processing for the embgrid project

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences community. The proposed approach will make use of an extended Grid architecture, built on top of existing EU-DATAGRID services and deployed over a wide number of European nodes, to enable delivery of advanced tools and solutions to the growing demands of Biosciences. We contemplate creation of a pan-european Grid resource, related to other EU Grid initiatives and devoted mainly to Bioinformatics. This initiative will raise Europe's competitiveness in this and related fields. Successful deployment and dissemination will be facilitated by EMBnet long track in delivering tools, services and training to the European scientific community.Eje: Procesamiento Concurrente, Paralelo y Distribuid

An Interactive Graphical User Interface Module for Soldier Health and Position Tracking System

Soldiers are the backbone of any armed force. They usually lose their lives due to the lack of medical assistance in emergency situations. Furthermore, army bases face problems due to the inability to track soldiers’ locations in the field. Hence, this paper proposes an interactive graphical user interface module (IGUIM) for soldiers’ bioinformatics acquisition and emergency reaction during combat, a global positioning system (GPS) is used to track soldiers’ locations through a device carried by the soldier. Soldiers’ bioinformatics are gathered using health monitoring biosensors, bidirectional communication between the soldiers and the army base is established via a global system for mobile (GSM). The proposed interactive module aims to enumerate the soldiers on the battlefield within a database that easily facilitates health monitoring, position tracking and bidirectional communication with each soldier through their identification number. The proposed IGUIM will increase the rate of soldiers’ survival in emergencies, which contributes to preserving the human resources of the army during combat

An Interactive Graphical User Interface Module for Soldier Health and Position Tracking System

Soldiers are the backbone of any armed force. They usually lose their lives due to the lack of medical assistance in emergency situations. Furthermore, army bases face problems due to the inability to track soldiers’ locations in the field. Hence, this paper proposes an interactive graphical user interface module (IGUIM) for soldiers’ bioinformatics acquisition and emergency reaction during combat, a global positioning system (GPS) is used to track soldiers’ locations through a device carried by the soldier. Soldiers’ bioinformatics are gathered using health monitoring biosensors, bidirectional communication between the soldiers and the army base is established via a global system for mobile (GSM). The proposed interactive module aims to enumerate the soldiers on the battlefield within a database that easily facilitates health monitoring, position tracking and bidirectional communication with each soldier through their identification number. The proposed IGUIM will increase the rate of soldiers’ survival in emergencies, which contributes to preserving the human resources of the army during combat

Distributed and parallel processing for the embgrid project

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences community. The proposed approach will make use of an extended Grid architecture, built on top of existing EU-DATAGRID services and deployed over a wide number of European nodes, to enable delivery of advanced tools and solutions to the growing demands of Biosciences. We contemplate creation of a pan-european Grid resource, related to other EU Grid initiatives and devoted mainly to Bioinformatics. This initiative will raise Europe's competitiveness in this and related fields. Successful deployment and dissemination will be facilitated by EMBnet long track in delivering tools, services and training to the European scientific community.Eje: Procesamiento Concurrente, Paralelo y DistribuidoRed de Universidades con Carreras en Informática (RedUNCI

GenomeGraphs: integrated genomic data visualization with R.

BackgroundBiological studies involve a growing number of distinct high-throughput experiments to characterize samples of interest. There is a lack of methods to visualize these different genomic datasets in a versatile manner. In addition, genomic data analysis requires integrated visualization of experimental data along with constantly changing genomic annotation and statistical analyses.ResultsWe developed GenomeGraphs, as an add-on software package for the statistical programming environment R, to facilitate integrated visualization of genomic datasets. GenomeGraphs uses the biomaRt package to perform on-line annotation queries to Ensembl and translates these to gene/transcript structures in viewports of the grid graphics package. This allows genomic annotation to be plotted together with experimental data. GenomeGraphs can also be used to plot custom annotation tracks in combination with different experimental data types together in one plot using the same genomic coordinate system.ConclusionGenomeGraphs is a flexible and extensible software package which can be used to visualize a multitude of genomic datasets within the statistical programming environment R

Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.

Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license

Neuroinformatics: From Bioinformatics to Databasing the Brain

Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurological disorders. Neuroinformatics includes traditional bioinformatics of gene and protein sequences in the brain; atlases of brain anatomy and localization of genes and proteins; imaging of brain cells; brain imaging by positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG) and other methods; many electrophysiological recording methods; and clinical neurological data, among others. Building neuroinformatics databases and tools presents difficult challenges because they span a wide range of spatial scales and types of data stored and analyzed. Traditional bioinformatics, by comparison, focuses primarily on genomic and proteomic data (which of course also presents difficult challenges). Much of bioinformatics analysis focus on sequences (DNA, RNA, and protein molecules), as the type of data that are stored, compared, and sometimes modeled. Bioinformatics is undergoing explosive growth with the addition, for example, of databases that catalog interactions between proteins, of databases that track the evolution of genes, and of systems biology databases which contain models of all aspects of organisms. This commentary briefly reviews neuroinformatics with clarification of its relationship to traditional and modern bioinformatics

Three novel science activities relating to the structure of the atom, bioinformatics, and the denaturation of protein

Plan B Paper. 2013. Master of Science in Education- Physics--University of Wisconsin-River Falls. Physics Department. 30 leaves. Includes bibliographical references (leaf 10).This paper describes three novel activities that were designed to teach difficult scientific concepts to a wide age range of students (7th through 11th grade). The subject of the three activities include the structure of the atom, bioinformatics, and protein denaturation. Each section within the paper includes background information and material lists necessary for the activity, in addition to a procedure and reflection. The two models of learning used to analyze the activities were Bloom's Taxonomy and the Constructivist Theory. In Bloom's Taxonomy, there are six levels in the Cognitive domain: Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation (in order from lowest to highest). As a student progresses from the lower levels to the higher levels, their comprehension and mastery of the subject increases. According to Constructivism, a learner needs to be active in the learning process so that they can give meaning to their experiences. This happens when the learner reconciles their experiences to something they previously held to be true