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Affymetrix has recently released a new software for the acquisition, management, and analysis of gene expression data. The new GeneChip Operating Software (GCOS) platform enables researchers to perform gene expression, SNP mapping and resequencing analysis with integrated data management and scalable client server configurations. * Compatible with additional Affymetrix analysis software such as Data Mining Tool (DMT) and GeneChip DNA Analysis Software (GDAS) * Supports Gene Expression, Resequencing and Genotyping Applications * Baseline Comparison Analysis Input: Affymetrix .DAT file Output: Affymetrix files (.CEL, .CHP, .RPT, .EXP, .TXT) Availability: The Core Facility has a copy of GCOS, as well as an older version of the Affymetrix software, Microarray Suite (MAS), available for use upon request.

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• SciCrunch
• 17 years ago - by Anonymous

Web application that accepts the raw count data produced by the NanoString nCounter analysis system, normalizes it according to guidelines provided by NanoString Technologies, performs differential expression analysis on the normalized data, and provides a heatmap of the results from the differential expression analysis.

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• SciCrunch
• 13 years ago - by Anonymous

Software package for low-throughput real-time quantitative PCR data analysis. The package allows you to import easily qPCR data files. Thereafter, you can calculate amplification efficiencies, relative quantities and their standard errors, normalization factors based on the best reference genes choosen (using the SLqPCR package), and then the normalized relative quantities, the NRQs scaled to your control and their standard errors.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. A software toolkit to code document sets with ontologies or to enrich existing ontologies with new concepts from the document set. It contains algorithms for Named Entity Recognition, Co-reference resolution, concept discovery, discourse reasoning and attribute value extraction. The project aimed to develop a toolkit that will provide the following functionality: * Build text processing pipelines that use ontologies to annotate documents. * Enrich ontologies with new concepts that are automatically discovered in documents. * Populate an information model automatically from information extracted from documents. ODIE is open source software released under the LGPL v3.0 License. ODIE is written in Java and uses the Eclipse RCP Framework for the UI. The source code is organized into Eclipse projects.

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• SciCrunch
• 17 years ago - by Anonymous

Neuroscience specialization in Graduate Program in Biological Sciences at Marquette University brings together researchers from Departments of Biological and Biomedical Sciences at Marquette to offer quality graduate education in the field of neuroscience with the goal of training students for careers as neuroscience researchers and educators. The specialization is for students who wish to pursue a Ph.D. degree. The collaborative and multi-disciplinary neuroscience research environment at Marquette is supported by the Integrative Neuroscience Research Center (INRC), a consortium of researchers committed to advancing neuroscience research and education at Marquette. The Neuroscience Graduate Program offers the opportunity to conduct research in a collaborative, intellectually rigorous environment, with access to the most modern research tools.

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• SciCrunch
• 17 years ago - by Anonymous

Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data.

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• SciCrunch
• 17 years ago - by Anonymous

Portal of geological information, including geology maps, reports, and GIS datasets, to help with the exploration, development and conservation of Alberta's resources.

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• SciCrunch
• 13 years ago - by Anonymous

A complete software system used to store and analyze gene expression data.

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• SciCrunch
• 13 years ago - by Anonymous

Department committed to excellence in teaching and research offering degrees leading to Ph.D., M.S., M.D./Ph.D. and M.S./M.B.A. The commitment to teaching is exemplified by the innovative courses and programs that the department has developed, as well as a departmental emphasis on fostering student-faculty interactions. The department offers Summer Undergraduate Research Opportunities and Postdoctoral positions. Research in Pharmacology encompasses the understanding, prevention and treatment of human disease, and therefore is at the forefront in creating innovative therapeutic interventions to improve the human condition. Research interests of the Departmental faculty include Neuroscience, Cardiovascular, Hematology and Oncology.

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• SciCrunch
• 13 years ago - by Anonymous

The Neuroscience Graduate Program at Loyola trains students to become the neuroscientists who will carry on exciting research. Since our program is interdepartmental and interdisciplinary, our students have an exceptionally broad choice of advisors and research topics on which to work. The neuroscience program offers a Ph.D., M.D./Ph.D., and Masters degree. Our students begin working towards their doctorate in neuroscience by first obtaining a broad base of knowledge in the whole field of neuroscience--brain anatomy, physiology, biochemistry, and pharmacology. After selecting a research advisor at the end of the first year, students usually take several electives in the advisor's home department to develop specialization and strength in one particular area. Each student is exposed to various situations where he or she learns how to express their ideas effectively, whether at a graduate seminar or as a teaching assistant in the medical neuroscience course. Throughout their training, students have the opportunity to interact and work closely with faculty and to receive individualized attention that continues until degree completion.

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• SciCrunch
• 17 years ago - by Anonymous

This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download.

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• SciCrunch
• 17 years ago - by Anonymous

A major emphasis of the Department of Pharmacology, Toxicology and Neuroscience is in the areas of neuropharmacology, neuroscience, and toxicology, with research in drug and alcohol addiction research, stress, neurotransmitter receptor function, oxidative mechanisms of toxicity, molecular regulation of toxicity and apoptosis, gene therapy, carcinogenesis and cancer chemoprevention. The Department offers graduate programs of study in neuroscience and toxicology and maintains an NIH training grant for its program of study in drug and alcohol addiction research. An MD/PhD Program and a Summer Undergraduate Pharmacology Research program are also offered.

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• SciCrunch
• 17 years ago - by Anonymous

Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions.

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• SciCrunch
• 13 years ago - by Anonymous

A plant promoter database that provides information on transcription start sites (TSSs), core promoter structure and regulatory element groups (REGs) as putative and comprehensive transcriptional regulatory elements. Microarray data-based predictions have been appended as REG annotations which inform their putative physiological roles.

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• SciCrunch
• 17 years ago - by Anonymous

Data sets of clinical / behavioral and image data are available for download by qualified researchers from a seven year, multi-site, longitudinal study using magnetic resonance technologies to study brain maturation in healthy, typically-developing infants, children, and adolescents and to correlate brain development with cognitive and behavioral development. The information obtained in this study is expected to provide essential data for understanding the course of normal brain development as a basis for understanding atypical brain development associated with a variety of developmental, neurological, and neuropsychiatric disorders affecting children and adults. This study enrolled over 500 children, ranging from infancy to young adulthood. The goal was to study each participant at least three times over the course of the project at one of six Pediatric Centers across the United States. Brain MR and clinical/behavioral data have been compiled and analyzed at a Data Coordinating Center and Clinical Coordinating Center. Additionally, MR spectroscopy and DTI data are being analyzed. The study was organized around two objectives corresponding to two age ranges at the time of enrollment, each with its own protocols. * Objective 1 enrolled children ages 4 years, 6 months through 18 years (total N = 433). This sample was recruited across the six Pediatric Study Centers using community based sampling to reflect the demographics of the United States in terms of income, race, and ethnicity. The subjects were studied with both imaging and clinical/behavioral measures at two year intervals for three time points. * Objective 2 enrolled newborns, infants, toddlers, and preschoolers from birth through 4 years, 5 months, who were studied three or more times at two Pediatric Study Centers at intervals ranging from three months for the youngest subjects to one year as the children approach the Objective 1 age range. Both imaging and clinical/behavioral measures were collected at each time point. Participant recruitment used community based sampling that included hospital venues (e.g., maternity wards and nurseries, satellite physician offices, and well-child clinics), community organizations (e.g., day-care centers, schools, and churches), and siblings of children participating in other research at the Pediatric Study Centers. At timepoint 1, of those enrolled, 114 children had T1 scans that passed quality control checks. Staged data release plan: The first data release included structural MR images and clinical/behavioral data from the first assessments, Visit 1, for Objective 1. A second data release included structural MRI and clinical/behavioral data from the second visit for Objective 1. A third data release included structural MRI data for both Objective 1 and 2 and all time points, as well as preliminary spectroscopy data. A fourth data release added cortical thickness, gyrification and cortical surface data. Yet to be released are longitudinally registered anatomic MRI data and diffusion tensor data. A collaborative effort among the participating centers and NIH resulted in age-appropriate MR protocols and clinical/behavioral batteries of instruments. A summary of this protocol is available as a Protocol release document. Details of the project, such as study design, rationale, recruitment, instrument battery, MRI acquisition details, and quality controls can be found in the study protocol. Also available are the MRI procedure manual and Clinical/Behavioral procedure manuals for Objective 1 and Objective 2.

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• SciCrunch
• 15 years ago - by Anonymous

VANO is a Volume image object AnNOtation System for 3D multicolor image stacks, developed by Hanchuan Peng, Fuhui Long, and Gene Myers. VANO provides a well-coordinated way to annotate hundreds or thousands of 3D image objects. It combines 3D views of images and spread sheet neatly, and is just easy to manage 3D segmented image objects. It also lets you incorporate your segmentation priors, and lets you edit your segmentation results! This system has been used in building the first digital nuclei atlases of C. elegans at the post-embryonic stage (joint work with Stuart Kim lab, Stanford Univ), the single-neuron level fruit fly neuronal atlas of late embryos (with Chris Doe lab, Univ of Oregon, HHMI), and the compartment-level of digital map(s) of adult fruit fly brains (several labs at Janelia Farm, HHMI). VANO is cross-platform software. Currently the downloadable versions are for Windows (XP and Vista) and Mac (Intel-chip based, Leopard or Tiger OS). If you need VANO for different systems (such as 64bit or 32bit, Redhat Linux, Ubuntu, etc), you can either compile the software, or send an email to pengh (at) janelia.hhmi.org. VANO is Open-Source. You can download both the source code files and pre-complied versions at the Software Downloads page.

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• SciCrunch
• 17 years ago - by Anonymous

Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more.

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• SciCrunch
• 17 years ago - by Anonymous

The Department of Pharmacology and Molecular Sciences is proud of its history. Founded in 1893 by John J. Abel, the "Father of Pharmacology" in the United States, the Johns Hopkins Pharmacology Department's advances over the years have included the first crystals of insulin, the first measurement of a drug level in a human, discovery of both the insulin and opiate receptors, and discovery of a cancer preventive principle in broccoli. Many of these and other key contributions have been made by students pursuing advanced degrees in our Department. We are also proud of our track record in student training. Many of our graduates have gone on to become academic and industrial leaders in biomedical research throughout the country and world. Not resting on our laurels, we are continuing to maintain our strong commitment to creative scholarship and education. Additionally, there is an Anti-Cancer Drug Development Training Program for predoctoral and postdoctoral students as well ad other Postdoctoral research opportunities. Each of our faculty is engaged in cutting-edge research spanning many areas including: chemical biology, immunology, virology, cancer, and neuroscience. We believe the opportunities for discovering new drug targets and developing novel therapeutics have never been brighter and will continue to be lustrous for the century ahead. The Johns Hopkins University and School of Medicine provide an excellent scientific environment, with a friendly and supportive atmosphere, filled with energetic students, faculty, fellows, and staff.

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• SciCrunch
• 17 years ago - by Anonymous

The Flicker image viewer is a Java applet which reads two images from the Internet and then displays them in the your Web browser. It allows you to enhance them in various ways and to compare them visually in a third window called the flicker window. The Open-source Flicker downloadable application is now available. The program uses the "flicker method" used in GELLAB with and with Xconf. The flicker method is the alternate display in the same visual space of two images being compared which are aligned by aligning similar morphologic features. Images may first be enhanced by spatial warping, pseudo 3-Dimensional projections, image sharpening, contrast enhancement and other transforms. The transformed images may then be presented using flickering. Flicker is a method for comparing images from different Internet sources on your Web browser. Scientists around the world often work on similar image data. More of this data is being published on the Internet each year. In the case of 2D protein electrophoretic gel images, maps identifying proteins in these gels are becoming increasingly available. Visually comparing 2D sample gels against these 2D gel database maps may suggest putative protein spot identification in many cases. Flicker was originally developed for comparing 2D protein gels across the Internet.

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• SciCrunch
• 17 years ago - by Anonymous

Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions.

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• SciCrunch
• 17 years ago - by Anonymous