Tools   Select Another Resource Report Type

http://www.scripps.edu/researchservices/dna_array/pages/Data_Analysis_GCOS.htm

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.

Proper citation: GeneChip Operating Software (RRID:SCR_003408) Copy   

•   Source: SciCrunch Registry
  

http://nanostride.soe.ucsc.edu/

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.

Proper citation: NanoStriDE (RRID:SCR_003407) Copy   

•   Source: SciCrunch Registry
  

https://planttfdb.gao-lab.org/

Comprehensive plant transcription factor database. Interface to allow users to search the database by IDs or free texts, to make sequence similarity search against TFs of all or individual species, and to download TF sequences for local analysis.PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors

Proper citation: PLANTTFDB (RRID:SCR_003362) Copy   

•   Source: SciCrunch Registry
  

http://geoss.sourceforge.net/

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

Proper citation: GEOSS (RRID:SCR_003401) Copy   

•   Source: SciCrunch Registry
  

http://www.i2b2cictr.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 08, 2013. A two year Clinical and Translational Science Award (CTSA) supplement that set up a SHRINE (Shared Health Research Informatics NEtwork) network to create an information exchange environment that successfully shared 4.2M deidentified patient records. The network successfully linked i2b2 sites at UW, UCSF, UC Davis and Harvard Catalyst. Recombinant Data Corporation was actively involved in this implementation. This is a collaborative information exchange pilot project to adapt and extend data discovery tools and processes to enhance research design and retrospective data study capabilities for clinical translational investigators. The novel approach of this project will be to incrementally build a common technical, semantic and appropriately secure and governed distributed system in close partnership with active researchers at three large and geographically distributed academic medical centers. This collaboration will extend the Informatics for Integrating Biology and the Bedside (i2b2) software architecture developed by the Harvard based National Center for Biomedical Computing (NCBC) to support multi-institution data query capabilities. The anticipated outcome of this two-year project is to make high-level anonymized descriptive characteristics of population-level data discoverable for research design, hypothesis generation and retrospective data studies.

Proper citation: i2b2 Cross-Institutional Clinical Translational Research project (RRID:SCR_003367) Copy   

•   Source: SciCrunch Registry
  

http://www.stritch.luc.edu/pharmacology/

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.

Proper citation: Loyola University Department of Molecular Pharmacology and Experimental Therapeutics (RRID:SCR_003400) Copy   

•   Source: SciCrunch Registry
  

http://biomodels.net/kisao/

An ontology that classifies algorithms available for the simulation of models in biology, their characteristics and the parameters required for their use.

Proper citation: Kinetic Simulation Algorithm Ontology (RRID:SCR_003361) Copy   

•   Source: SciCrunch Registry
  

http://braintrap.inf.ed.ac.uk/braintrap/

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.

Proper citation: BrainTrap: Fly Brain Protein Trap Database (RRID:SCR_003398) Copy   

•   Source: SciCrunch Registry
  

http://datasharing.net

The U.S. National Institutes of Health Final NIH Statement on Sharing Research Data (NIH-OD-03-032) is now in effect. It specifies that all high-direct-cost NIH grant applications include plans for sharing of research data. To support and encourage collegial, enabling, and rewarding data sharing for neuroscience and beyond, the Laboratory of Neuroinformatics at Weill Medical College of Cornell University has established this site. A source of, and portal to, tools and proposals supporting the informed exchange of neuroscience data.

Proper citation: Datasharing.net (RRID:SCR_003312) Copy   

•   Source: SciCrunch Registry
  

http://ucsfeye.net/mlavailRDratmodels.shtml

Supplier of fully penetrant rat models of the retinitis pigmentosa type of inherited retinal degeneration, including the following models: * Mutant rhodopsin transgenic rats ** P23H mutant rhodopsin transgenic rats -Three lines with different rates of photoreceptor degeneration ** S334ter mutant rhodopsin transgenic rats -Five lines with different rates of photoreceptor degeneration * RCS (Royal College of Surgeons) rats with inherited retinal dystrophy ** RCS pink-eyed inbred strain ** RCS pigmented congenic strain with slowed rate of retinal dystrophy ** RCS congenic control strains of both pigmentation types, wild-type at the retinal dystrophy (Mertk) genetic locus The resource has been supported by the National Eye Institute (NEI) for the past 19 years to produce and distribute breeding pairs of these animal models to vision scientists. Thus, the following apply: * Request for rats requires only a 1-page letter/e-mail addressing 4 questions * No charge for the animals or tissues (except for shipping costs) * No Material Transfer Agreement (MTA) required * No collaboration requirement (in most cases) The resource usually provides multiple breeding pairs of the rats to vision scientists to generate breeding stock. It can also provide extra animals to breed for immediate experimental work, animals of specific ages (depending upon availability), animals with prior exposure to different lighting conditions, eyes taken at specific ages instead of rats for pilot studies and other experiments (fresh, frozen, dissected in specific ways, or fixed with special fixatives or by different methods), or other tissues (e.g., liver, spleen, brain, testis, etc.) prepared different ways.

Proper citation: Retinal Degeneration Rat Model Resource (RRID:SCR_003311) Copy   

•   Source: SciCrunch Registry
  

http://www.stritch.luc.edu/neuroscience/

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.

Proper citation: Loyola University Chicago, Neuroscience (RRID:SCR_003399) Copy   

•   Source: SciCrunch Registry
  

http://www.pediatricmri.nih.gov/

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.

Proper citation: NIH MRI Study of Normal Brain Development (RRID:SCR_003394) Copy   

•   Source: SciCrunch Registry
  

http://www.hopkinsmedicine.org/pharmacology/

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.

Proper citation: Johns Hopkins University Pharmacology (RRID:SCR_003391) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/XCO

An ontology designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.

Proper citation: Experimental Conditions Ontology (RRID:SCR_003306) Copy   

•   Source: SciCrunch Registry
  

https://catalog.allegheny.edu/preview_program.php?catoid=44&poid=3489&returnto=1542

Allegheny's neuroscience major formalizes an alliance dating back 25 years between the College's well-known biology and psychology departments. The major brings faculty and students together to study the brain and the nervous system using principles from the natural and social sciences. It requires a common core of biology, chemistry, and psychology courses. Students may choose from two tracks: "cellular neurobiology" or "behavioral and cognitive neuroscience", and they have the opportunity to explore interdisciplinary topics through the Junior Seminar and the year-long Senior Research Project.

Proper citation: Allegheny College Neuroscience (RRID:SCR_003305) Copy   

•   Source: SciCrunch Registry
  

http://www.bioontology.org

Organization that provides biomedical researchers with online tools and a web portal enabling them to access, review, and integrate disparate ontological resources in all aspects of biomedical investigation and clinical practice. A major focus of the work involves the use of biomedical ontologies to aid in the management and analysis of data derived from complex experiments.

Proper citation: National Center for Biomedical Ontology (RRID:SCR_003304) Copy   

•   Source: SciCrunch Registry
  

https://bioportal.bioontology.org/ontologies/NEMO/?p=summary

Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG).

Proper citation: NEMO Ontology (RRID:SCR_003386) Copy   

•   Source: SciCrunch Registry
  

http://sagebase.org/

Non-profit biomedical research organization developing predictors of disease and accelerating health research through creation of open systems, incentives, and standards. Formed to coordinate and link academic and commercial biomedical researchers through Commons that represents new paradigm for genomics intellectual property, researcher cooperation, and contributor evolved resources.

Proper citation: Sage Bionetworks (RRID:SCR_003384) Copy   

•   Source: SciCrunch Registry
  

http://neuroscience.aecom.yu.edu/index.html

University department that oversees neuroscience research and graduate education.

Proper citation: Albert Einstein College of Medicine of Yeshiva University Department of Neuroscience (RRID:SCR_003303) Copy   

•   Source: SciCrunch Registry
  

http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/

Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) Copy   

•   Source: SciCrunch Registry