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  • RRID:SCR_003447

http://www.minituba.org

miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables.

Proper citation: miniTUBA (RRID:SCR_003447) Copy   


  • RRID:SCR_003726

    This resource has 10+ mentions.

https://www.projectdatasphere.org/

Initiative to advance oncology research by enabling collaborative sharing of historical oncology clinical trial data through a universal platform (database). The initiative aims to network all stakeholders in the cancer community researchers, industry, academia, advocacy, and other organizations to share insights and collaborate on issues that could not be solved individually. To do this, they have made efforts to address issues of data privacy, security, intellectual property, resources, and incentives as part of its effort to maximize participation. Data contributions include control arms of clinical trials, and the platform uses data-security precautions and analytics to pool multiple studies associated with the same diagnosis in a manner that seeks to protect the privacy of patients and the security of the data contributed.

Proper citation: Project Data Sphere (RRID:SCR_003726) Copy   


  • RRID:SCR_003721

    This resource has 1+ mentions.

http://www.themmrf.org/research-programs/commpass-study/

A personalized medicine initiative to discover biomarkers that can better define the biological basis of multiple myeloma to help stratify patients. This effort hopes to obtain samples from approximately 1,000 multiple myeloma patients and follow them over time to identify how a patient's genetic profile is related to clinical progression and treatment response. As a partnership between 17 academic centers, 5 pharmaceuticals and the Department of Veterans Affairs, the goal of this eight year study is to create a database that can accelerate future clinical trials and personalized treatment strategies. MMRF's CoMMpass Study has the following goals: * Create a guide to which treatments work best for specific patient subgroups. * Share data with researchers to accelerate drug development for specific subtypes of multiple myeloma patients. In order to facilitate discoveries and development related to targeted therapies, the comprehensive data from CoMMpass is placed in an open-access research portal. The data will be part of the Multiple Myeloma Research Foundation's (MMRF) Personalized Medicine Platform combines CoMMpass data with those collected from MMRF's Genomics Initiative. It is hoped that the longitudinal data, combined with the annotated bio-specimens will help provide insights that can accelerate personalized therapies.

Proper citation: MMRF CoMMpass Study (RRID:SCR_003721) Copy   


http://caties.cabig.upmc.edu/

The Cancer Text Information Extraction System (caTIES) provides tools for de-identification and automated coding of free-text structured pathology reports. It also has a client that can be used to search these coded reports. The client also supports Tissue Banking and Honest Broker operations. caTIES focuses on two important challenges of bioinformatics * Information extraction (IE) from free text * Access to tissue. Regarding the first challenge, information from free-text pathology documents represents a vital and often underutilized source of data for cancer researchers. Typically, extracting useful data from these documents is a slow and laborious manual process requiring significant domain expertise. Application of automated methods for IE provides a method for radically increasing the speed and scope with which this data can be accessed. Regarding the second challenge, there is a pressing need in the cancer research community to gain access to tissue specific to certain experimental criteria. Presently, there are vast quantities of frozen tissue and paraffin embedded tissue throughout the country, due to lack of annotation or lack of access to annotation these tissues are often unavailable to individual researchers. caTIES has three goals designed to solve these problems: * Extract coded information from free text Surgical Pathology Reports (SPRs), using controlled terminologies to populate caBIG-compliant data structures. * Provide researchers with the ability to query, browse and create orders for annotated tissue data and physical material across a network of federated sources. With caTIES the SPR acts as a locator to tissue resources. * Pioneer research for distributed text information extraction within the context of caBIG. caTIES focuses on IE from SPRs because they represent a high-dividend target for automated analysis. There are millions of SPRs in each major hospital system, and SPRs contain important information for researchers. SPRs act as tissue locators by indicating the presence of tissue blocks, frozen tissue and other resources, and by identifying the relationship of the tissue block to significant landmarks such as tumor margins. At present, nearly all important data within SPRs are embedded within loosely-structured free-text. For these reasons, SPRs were chosen to be coded through caTIES because facilitating access to information contained in SPRs will have a powerful impact on cancer research. Once SPR information has been run through the caTIES Pipeline, the data may be queried and inspected by the researcher. The goal of this search may be to extract and analyze data or to acquire slides of tissue for further study. caTIES provides two query interfaces, a simple query dashboard and an advanced diagram query builder. Both of these interfaces are capable of NCI Metathesaurus, concept-based searching as well as string searching. Additionally, the diagram interface is capable of advanced searching functionalities. An important aspect of the interface is the ability to manage queries and case sets. Users are able to vet query results and save them to case sets which can then be edited at a later time. These can be submitted as tissue orders or used to derive data extracts. Queries can also be saved, and modified at a later time. caTIES provides the following web services by default: MMTx Service, TIES Coder Service

Proper citation: caTIES - Cancer Text Information Extraction System (RRID:SCR_003444) Copy   


  • RRID:SCR_003564

    This resource has 1+ mentions.

http://www.curealzfund.org/

Cure Alzheimer's Fund is a 501(c)(3) public charity. At Cure Alzheimer's Fund, our mission is to fund research with the highest probability of slowing, stopping or reversing Alzheimer's disease. This topical portal has a lot of information including news and blog. Cure Alzheimer's Fund is governed by a board of directors; administered by a small, full-time staff; and guided scientifically by a Research Consortium. A Scientific Advisory Board audits the research program to make sure it is consistent with the objectives of the foundation. Cure Alzheimer's Fund is a doing business as name for the Alzheimer's Disease Research Foundation, federal tax ID # 52-2396428.

Proper citation: Cure Alzheimers Fund (RRID:SCR_003564) Copy   


http://bcs.mit.edu/index.html

MIT's Department of Brain and Cognitive Sciences stands at the nexus of neuroscience, biology and psychology. We combine these disciplines to study specific aspects of the brain and mind including: vision, movement systems, learning and memory, neural and cognitive development, language and reasoning. Together, MIT's Department of Brain and Cognitive Sciences offers extraordinary learning opportunities for undergraduate, graduate and postdoctoral students. Because the human brain is immensely complex in many different ways at once, we pursue every level of inquiry - from molecules to cells to circuits to the mystery of the mind itself. As we study its diseases and disorders, its development and daily feats, like vision, speech, movement and memory, we also integrate methods and insights from every area of brain research. This unusual diversity of expertise fosters an intensely creative atmosphere that sparks startling collaborations. Already known for remarkable contributions to the field, our faculty members continually stretch the limits of knowledge, and bring the same passion to educating our exceptional students. A key part of the BCS mission is to offer its graduate and undergraduate students an educational experience of the highest quality. Our graduate students benefit from the impressive range of our program, and from the ability to participate in research projects with faculty members who are leaders in their fields. The department's undergraduate program, which includes both neuroscience and cognitive science, is one of the fastest-growing majors at MIT.

Proper citation: Massachusetts Institute of Technology; Department of Brain and Cognitive Sciences (RRID:SCR_003437) Copy   


  • RRID:SCR_004168

http://sing.ei.uvigo.es/GC/

Tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification. While the user can work with different gene set collections and several microarray data files to configure specific classification experiments, the tool is able to run several tests in parallel. It is able to render valuable information for diagnostic analyses and clinical management decisions based on systematically evaluating custom hypothesis over different data sets using complementary classifiers, a key aspect in clinical research.

Proper citation: GeneCommittee (RRID:SCR_004168) Copy   


http://www.nraa.org/

A nonprofit organization representing dialysis facilities and centers throughout the United States. It supports members from all types of providers including freestanding, hospital-based and national chains through the weekly e-mail newsletter, Renal Watch, the Annual Meeting, periodic workshops and other meetings. NRAA members include dialysis provider companies and management consulting companies and other companies involved in the End Stage Renal Disease (ESRD) industry and supportive of the purposes of NRAA. Individuals not directly employed or otherwise involved in companies that are NRAA members may join as individual Associate Members. The purposes for which the NRAA is organized are as follows: # To provide renal administrators the opportunity for gaining continuing education, obtaining peer recognition and expanding development in the profession. # To promote and encourage education and training for renal administrators. # To recognize individuals who have done or are doing noteworthy service in the field of renal administration. # To educate the public and members of governing bodies of health care organizations to understand the issues surrounding the practice of renal administration. # To represent the professional interests of renal administrators as a national representative spokesperson for the development and implementation of public policy. # To act as a resource on local and national ESRD issues.

Proper citation: National Renal Administrators Association (RRID:SCR_003991) Copy   


http://iubio.bio.indiana.edu/webapps/SeWeR/

Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser. It doesn''t require any server to host itself. The goal of SeWeR is to turn your web-browser into a powerful sequence-analysis tool. It is written entirely in JavaScript1.2. SeWeR can be downloaded and mirrored freely. The whole package is just around 300K. You can even run it from a floppy. SeWeR is not compatible with Netscape 6. SeWeR now generates graphics. Savvy is a plasmid drawing software that generates plasmid map in the revolutionary Scalable Vector Graphics format from W3C.

Proper citation: SeWeR - SEquence analysis using WEb Resources (RRID:SCR_004167) Copy   


http://www.nimh.nih.gov/educational-resources/index.shtml

A portal to educational resources.

Proper citation: NIMH Educational Resources (RRID:SCR_004045) Copy   


  • RRID:SCR_003996

    This resource has 10+ mentions.

http://datahub.io/

Data management platform and data repository based on the CKAN tool for managing and publishing collections of data. It enables the user to search for data, register published datasets, create and manage groups of datasets, and get updates from datasets and groups of interest.

Proper citation: Datahub (RRID:SCR_003996) Copy   


http://www.smbs.buffalo.edu/pmy/

The Department of Pharmacology and Toxicology strives to maintain excellence in the areas of research, teaching and service to the School, University, and Community. The Department offers a program of didactic course work and research training leading to the degree of Doctor of Philosophy in Pharmacology, either through the Interdisciplinary Graduate Program in Biomedical Sciences (IGPBS) or through the Medical Scientist Training Program (MSTP). Pharmacology and Toxicology have similar basic principles and often utilize similar experimental methods and approaches to address a wide range of biomedical and health-related questions. Both are sciences that are basic not only to medicine, but also to pharmacy, nursing, dentistry, public health, and veterinary medicine. Additional programs are offered for the Bachelor of Science, or a combined Bachelor of Science / Master of Science in Pharmacology and Toxicology, and a Master of Arts in Pharmacology. The graduate programs are structured to provide the candidate with a broad training in basic areas of pharmacology as well as a degree of expertise in one research area including: Neuropharmacology, Psychopharmacology, Toxicology, Molecular and Cellular Pharmacology, Clinical Pharmacology

Proper citation: University at Buffalo SMBS Department of Pharmacology and Toxicology (RRID:SCR_004204) Copy   


http://www.nncc-exam.org/

Organization that established credentialing mechanisms to promote patient safety and to improve the quality of care provided to nephrology patients. There is a diversity of examinations providing the opportunity for certification at various levels of education, experience, and areas of practice within nephrology nursing. All of the certification examinations are endorsed by American Nephrology Nurses'''' Association (ANNA). The Commission recognizes the value of education, administration, research, and clinical practice in fostering personal and professional growth and currently provides six examinations to validate clinical performance: * The Certified Dialysis Nurse examination * The Certified Dialysis LPN/LVN examination * The Certified Nephrology Nurse examination * The Certified Clinical Hemodialysis Technician * The Certified Clinical Hemodialysis Technician - Advanced * The Certified Nephrology Nurse - Nurse Practitioner

Proper citation: Nephrology Nursing Certification Commission (RRID:SCR_003994) Copy   


  • RRID:SCR_004049

    This resource has 1+ mentions.

http://www.rsnhope.org/

A nonprofit, patient-focused, patient-run organization that provides non-medical services to those affected by chronic kidney disease (CKD). RSN strives to help patients develop their personal coping skills, special talents, and employability by educating and empowering them and their family members to take control of the course and management of the disease. RSN plays a vital role in providing lawmakers and policymakers with the patient''s perspective on the needs and capabilities of people with CKD.

Proper citation: Renal Support Network (RRID:SCR_004049) Copy   


  • RRID:SCR_004288

http://wikikidney.org/index.php/Main_Page

Wikikidney.org is an effort to prevent kidney diseases and achieve better outcomes in those who have end stage renal disease. Our mission is to use this medium to make the public more aware of kidney disease in a sincere effort to prevent it when we can, and to help our colleagues achieve good outcomes in those who already have end stage renal disease. Our role is to provide as much information as possible to patients, professionals and the general public, with the hopes that this education will be a motivating factor in making the necessary changes to prevent or stall chronic kidney disease. After nearly two decades of seeing patients with end stage renal disease, it is apparent that much of what we deal with can be delayed or prevented altogether. Several medical trials and innovations in the last several years have confirmed these observations, and form the basis of this website. A major element in preventing renal illness is simply early detection, and for this one needs education. As the Internet expands and becomes more and more a tool of everyday life, we will have the ability to access and distribute information like no other generation before us. Qualified readers are encouraged to contribute to existing articles and to create articles of their own. Contents * 1 Kidney Resources - NIC * 2 Especially for Patients * 3 General Kidney Resources * 4 Issues in Nephrology * 5 Clinical Wiki Projects * 6 Be an author, editor or reviewer on wikikidney * 7 Clinical Trials * 8 Newsdesk Top Stories * 9 Essential Physician Resources * 10 Organizations * 11 Government Agencies * 12 Vendor and other Sites * 13 Patents * 14 Index

Proper citation: Wikikidney.org (RRID:SCR_004288) Copy   


http://nephcure.org/

Nonprofit organization committed exclusively to support research seeking the cause of the potentially debilitating kidney disease Focal Segmental Glomerulosclerosis (FSGS) and Nephrotic Syndrome, improve treatment and find a cure. NephCure Kidney International is: * Committed to funding research around the globe that will continue to move us closer to an improved treatment and a cure. * The primary source of information on Nephrotic Syndrome and FSGS. * Leading the charge for legislative action to provide more federal funding for research into Nephrotic Syndrome and FSGS. * Working to attract researchers to this field. * Educating the public and raising awareness about Nephrotic Syndrome and FSGS.

Proper citation: NephCure Kidney International (RRID:SCR_003993) Copy   


  • RRID:SCR_004283

    This resource has 10+ mentions.

http://brainarchitecture.org/

Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts

Proper citation: Brain Architecture Project (RRID:SCR_004283) Copy   


http://www.european-biotechnology.net/

Non-profit organization that facilitates co-operation between professionals in biotechnology and the life sciences all over Europe bringing research groups, universities, SMEs, large companies and indeed all actors in biotechnology together to build and deliver partnerships.

Proper citation: European Biotechnology Network (RRID:SCR_003908) Copy   


  • RRID:SCR_003981

    This resource has 1+ mentions.

http://dialysispatients.org/

A nationwide, non-profit, patient-led organization with membership open only to dialysis and pre-dialysis patients and their families working to improve the quality of life for all dialysis patients through education and advocacy. They are dedicated to developing awareness of dialysis issues, advocating for dialysis patients, promoting favorable public policy and improving the partnership between patients and caregivers. Their policies and their mission are guided solely by their membership.

Proper citation: Dialysis Patient Citizens (RRID:SCR_003981) Copy   


http://www.chargeconsortium.com/

Consortium formed to facilitate genome-wide association study meta-analyses and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies. A bibliography of CHARGE publications is available. Its founding member cohorts include: * Age, Gene, Environment, Susceptibility Study -- Reykjavik * Atherosclerosis Risk in Communities Study * Cardiovascular Health Study * Framingham Heart Study * Rotterdam Study Additional core cohorts include: * Coronary Artery Risk Development in Young Adults * Family Heart Study * Health, Aging, and Body Composition Study * Jackson Heart Study * Multi-Ethnic Study of Atherosclerosis

Proper citation: Cohorts for Heart and Aging Research in Genomic Epidemiology (RRID:SCR_004034) Copy   



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