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On page 338 showing 6741 ~ 6760 out of 27,170 results
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http://www.ebi.ac.uk/Tools/

The European Bioinformatics Institute (EBI) toolbox area provides a comprehensive range of tools for the field of bioinformatics. These are subdivided into categories in the left menu for convenience. EBI has developed a large number of very useful bioinformatics tools. A few examples include: - Similarity & Homology - the BLAST or FASTA programs can be used to look for sequence similarity and infer homology. - Protein Functional Analysis - InterProScan can be used to search for motifs in your protein sequence. - Proteomic Services NEW - UniProt DAS server allows researchers to show their research results in the context of UniProtKB/Swiss-Prot annotation. - Sequence Analysis - ClustalW2 a sequence alignment tool. - Structural Analysis - MSDfold can be used to query your protein structure and compare it to those in the Protein Data Bank (PDB). - Web Services - provide programmatic access to the various databases and retrieval/analysis services EBI provides. - Tools Miscellaneous - Expression Profiler a set of tools for clustering, analysis and visualization of gene expression and other genomic data. Sponsors: This resource is sponsored by EBI.

Proper citation: Toolbox at the European Bioinformatics Institute (RRID:SCR_002872) Copy   


http://psychology-tools.com/cast/

Assessment test developed by the Autism Research Centre at the University of Cambridge, for assessing the severity of autism spectrum symptoms in children. This assessment is usually used with children aged from 4-11 years of age.

Proper citation: Childhood Autism Spectrum Test (RRID:SCR_003322) Copy   


  • RRID:SCR_002590

    This resource has 100+ mentions.

http://www.crl.med.harvard.edu/software/STAPLE/index.php

An algorithm for the Simultaneous Truth and Performance Level Estimation, which estimates a reference standard and segmentation generator performance from a set of segmentations. It has been widely applied for the validation of image segmentation algorithms, and to compare the performance of different algorithms and experts. It has also found application in the identification of a consensus segmentation, by combination of the output of a group of segmentation algorithms, and for segmentation by registration and template fusion., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: STAPLE (RRID:SCR_002590) Copy   


  • RRID:SCR_002867

https://en.wikipedia.org/wiki/SharedCopy

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 12, 2017. Web application for annotation and collaboration on web pages. Its features include the ability to highlight words, comment, and share annotated copies of the web page that can be annotated by other users.

Proper citation: SharedCopy (RRID:SCR_002867) Copy   


  • RRID:SCR_002502

    This resource has 500+ mentions.

http://nipy.org/nipype/

A package for writing fMRI analysis pipelines and interfacing with external analysis packages (SPM, FSL, AFNI). Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface. Nipype, an open-source, community-developed initiative under the umbrella of Nipy, is a Python project that solves these issues by providing a uniform interface to existing neuroimaging software and by facilitating interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems.

Proper citation: Nipype (RRID:SCR_002502) Copy   


  • RRID:SCR_003992

http://www.people.fas.harvard.edu/~junliu/genotype/

Software application (entry from Genetic Analysis Software)

Proper citation: GS-EM (RRID:SCR_003992) Copy   


http://www.edarstudy.eu/

A European collaborative study to develop and validate new biomarkers for Alzheimer's disease. Central in the project is the development of an assay for the measurement of beta amyloid oligomers in cerebrospinal fluid and plasma. In order to validate the assay for beta amyloid oligomers, cerebrospinal fluid and plasma will be repeatedly collected in subjects with Alzheimer's disease, other types of dementia, mild cognitive impairment, and control subjects.

Proper citation: EDAR study: biomarkers for Alzheimer's disease (RRID:SCR_004445) Copy   


http://www.emedicinehealth.com/dementia_due_to_hiv_infection/article_em.htm

A narrative resource that provides a wealth of information on topic including: * Dementia Due to HIV Infection Overview * Dementia Due to HIV Infection Causes * Dementia Due to HIV Infection Symptoms * Exams and Tests * Dementia Due to HIV Infection Treatment * Self-Care at Home * Medical Treatment * Next Steps * Follow-up * Prevention * Outlook * Support Groups and Counseling * For More Information * Web Links * Multimedia * Synonyms and Keywords Additional information includes: * HIV AIDS Myths and Facts Slideshow Pictures * Take the HIV/AIDS Quiz * AIDS Retrospective Slideshow Pictures

Proper citation: emedicinehealth: Dementia Due to HIV Infection (RRID:SCR_004566) Copy   


http://www.kcl.ac.uk/ioppn/depts/neuroimaging/research/imaginganalysis/Software/PIPR.aspx

Software toolbox designed to provide machine learning methods for pre-processed imaging data allowing for two (or more) class classification in the context of drug development. The Toolbox includes implementations of Gaussian Process Classification, Support Vector Machines, Ordinal Regression and Sparse Multinomial Logistic Regression for fMRI, Structural and ASL imaging data.

Proper citation: Pharmacological Imaging and Pattern Recognition toolbox (RRID:SCR_003874) Copy   


  • RRID:SCR_004685

http://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=556465

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Develop, manufacture and market proprietary, nanocrystalline calcium-phosphate-based biomaterials that promote the repair and regeneration of bone damaged by trauma or disease. ETEX focuses on expanding applications through combinations with cells, biologics, or therapeutic agents delivered in minimally invasive and easy to use systems.

Proper citation: ETEX Corporation (RRID:SCR_004685) Copy   


  • RRID:SCR_004282

http://www.ohsu.edu/xd/research/centers-institutes/octri/current-projects/ohsu-biolibrary/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.A Joint Project between Oregon Clinical and Translational Research Institute (OCTRI) and the Knight Cancer Institute, the OHSU Biolibrary provides information on campus collections of biospecimens originating from OHSU patients. The Biolibrary Search Engine is a user-friendly, online search tool that allows OHSU researchers to search for suitable biospecimen samples. As of October 2010, the Biolibrary Search Engine contains data on over 500,000 biospecimens. The Search Engine accesses data from the OHSU Cancer Registry, the Department of Pathology, and the OCTRI Research Data Warehouse. You must be connected to the OHSU network to access the Search Engine. The Search Engine is accessible on Internet Explorer through WTS connection to the OHSU network.

Proper citation: OHSU Biolibrary (RRID:SCR_004282) Copy   


  • RRID:SCR_003909

    This resource has 100+ mentions.

http://www.hipsci.org/

A UK national induced pluripotent stem (iPS) cell resource that will create and characterize more than 1000 human iPSCs from healthy and diseased tissue for use in cellular genetic studies. Between 2013 and 2016 they aim to generate iPS cells from over 500 healthy individuals and 500 individuals with genetic disease. They will then use these cells to discover how genomic variation impacts on cellular phenotype and identify new disease mechanisms. Strong links with NHS investigators will ensure that studies on the disease-associated cell lines will be linked to extensive clinical information. Further key features of the project are an open access model of data sharing; engagement of the wider clinical genetics community in selecting patient samples; and provision of dedicated laboratory space for collaborative cell phenotyping and differentiation.

Proper citation: HipSci (RRID:SCR_003909) Copy   


  • RRID:SCR_003988

    This resource has 1000+ mentions.

http://www.medtronic.com/

Medical technology company that develops and manufactures devices and therapies to treat more than 30 chronic diseases, including heart failure, Parkinson's disease, urinary incontinence, Down syndrome, obesity, chronic pain, spinal disorders, and diabetes. A Commercial healthcare organization for both patients and healthcare professionals. For professionals, it provides products, therapy and procedure solutions, and services.

Proper citation: Medtronic (RRID:SCR_003988) Copy   


  • RRID:SCR_004679

    This resource has 1+ mentions.

http://www.nationalbiobanks.fi/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023.To guarantee the top level of expertise in modern genetic and biological analyses, we have built an infrastructure that facilitates the collection of genome-wide information on the genetic background of diseases as well as functional information on the molecules that are critical in the disease process. Furthermore we have established the necessary storage, database and computational resources for the expert analyses of the massive amount of collected biological information. Our scientific expertise, technology platforms and large nationwide sample collections facilitate a highly competitive environment for research and education in molecular medicine of the 21st century. The biobanking wet lab effort is concentrated to KTL/Biomedicum Large scale DNA extraction and storage facility. The facility presently houses DNA from more than 200 000 individuals and is co-ordinated by National Public Health Institute. It is equipped with state of the art bar coding system for sample tracking, an automated Gentra DNA extraction equipment, liquid handling robots, storage facilities, and tailor made data management tools for optimal confidentiality and quality control.

Proper citation: National Biobank of Finland (RRID:SCR_004679) Copy   


http://www.ibcresearch.org/biobank/

The IBC Research Foundation BioBank is a secure, privacy-protected collection of biological specimens from ibc-diagnosed patients (cases, and, unlike the former George Washington University IBC Registry, ibc patients who have died, those who are under legal age, and those living but unable to make decisions for themselves, may be consented to participate in the IBC Research Foundation BioBank by their authorized representative) and from those not diagnosed with ibc (controls), volunteering following a consent decision making process, and signing an Informed Consent. Clinical Data and a comprehensive questionnaire will also be obtained for those diagnosed with ibc. The Inflammatory Breast Cancer Research Foundation (ibcRF) has established a BioBank and Clinical Database. The BioBank contains non-tumor RNA and DNA, tumor RNA and DNA, blocks and slides from diagnostic pathology, and medical records describing clinical and pathologic findings at diagnosis.

Proper citation: Inflammatory Breast Cancer Biobank (RRID:SCR_004556) Copy   


  • RRID:SCR_003863

http://vitiligobiobank.org/

A non-profit collection of biological samples and detailed associated clinical data, designed to facilitate medical research into vitiligo, a devastating skin disease that is much neglected. They collect, store and analyze biological samples throughout the network of collaborators in 11 countries, using standard collection protocols and unified patient record, which are then made available to the scientific community and research organizations investigating pathogeneses, diagnostics, new treatments, and ultimately a cure for vitiligo. The core asset is a large collection of well-organized hair, blood, serum and DNA samples, integrated with comprehensive and anonymized patient records.

Proper citation: Vitiligo Biobank (RRID:SCR_003863) Copy   


http://www.bonebank.com

Bone Bank Allografts is the distributor of the SteriGraft line of high quality bone and soft tissue allografts to medical professionals. The company has been in existence for over 13 years and has helped doctors and their patients with over one hundred thousand successful transplantations. Bone and soft tissue allografts in the SteriGraft line are validated to a sterility assurance level (SAL) of 10(-6) in accordance with ISO 11137-2 Method 1. Bone Bank Allografts was founded in 1993 in response to a growing need for allograft tissue in South Texas. Since 1993, Bone Bank Allografts'' distribution network has grown to cover Texas, the country and the globe, fulfilling surgical needs for allograft tissue in more than 175,000 successful transplantations. Located in San Antonio, Texas, Bone Bank Allografts is dedicated to a just, equitable and fair distribution of cadaveric tissue to surgeons, hospitals, surgicenters and dental offices. Over the years, our customers have come to rely on the superior quality of our tissue products as well as the unmatched service of our well trained, certified Tissue Bank Specialists (CTBS) and our knowledgeable distribution staff. With accreditation from the American Association of Tissue Banks (AATB), registration with the U.S. Food and Drug Administration (FDA) and compliance with the FDA''s Good Tissue Practices, Bone Bank Allografts continues to pursue our mission: To enhance the quality of patient care by providing safe, high quality allograft tissues to health care professionals for transplant and research. Most recently, Bone Bank Allografts has taken the next important step in tissue banking by developing a powerful partnership with Texas Human Biologics (THB) in order to process donated human tissue.

Proper citation: Bone Bank Allografts (RRID:SCR_004432) Copy   


  • RRID:SCR_004271

    This resource has 1+ mentions.

http://www.alsconsortium.org/neals_samples.php

Repository of serum, plasma, cerebrospinal fluid (CSF), whole blood, extracted DNA, and urine samples from NEALS and Massachusetts General Hospital Neurology Clinical Trials Unit (NCTU) research studies of amyotrophic lateral sclerosis (ALS). Samples from this repository are available to researchers for the purpose of furthering the understanding of ALS or developing disease biomarkers. Applications will be accepted at any time, but the committee meets bi-monthly to review applications. The application requires a brief description and scientific justification for the use of the samples. Priority will be given to members of NEALS and investigators from sites that participated in the collection of samples. Investigators must provide IRB approval from their institution. Applications may be submitted to: mghneuroclinicaltrialsunit (at) partners.org (please cc: tlincoln (at) partners.org) NEALS collects an administrative fee of $1,000 at the time of application submission to offset processing costs. If an application for samples is denied, 80% of the administrative fee will be returned. The administrative fee is waived for NEALS members. Checks may be made payable to: The Northeast ALS Consortium.

Proper citation: NEALS Sample Repository (RRID:SCR_004271) Copy   


http://www.ncbi.nlm.nih.gov/tools/cobalt/cobalt.cgi?link_loc=BlastHomeAd

COBALT is a multiple sequence alignment tool that finds a collection of pairwise constraints derived from conserved domain database, protein motif database, and sequence similarity, using RPS-BLAST, BLASTP, and PHI-BLAST. Pairwise constraints are then incorporated into a progressive multiple alignment. A Linux executable for COBALT, and CDD and PROSITE data used is available at ftp://ftp.ncbi.nlm.nih.gov/pub/agarwala/cobalt/ COBALT has reasonable runtime performance and alignment accuracy comparable to or exceeding that of other tools for a broad range of problems.

Proper citation: COBALT: Constraint-based Multiple Alignment Tool (RRID:SCR_004152) Copy   


  • RRID:SCR_004467

    This resource has 1+ mentions.

http://www.geenivaramu.ee/en/

The Estonian Biobank is the population-based biobank of the EGCUT. The project is conducted in accordance with the Estonian Genes Research Act and all participants have signed a broad informed consent form (www.biobank.ee and Metspalu 2004, Drug Dev. Res.). As of December 2011, the biobank contains 51,515 participants (gene donors). The database of genotypic, phenotypic, health and genealogical information represents about 5% of Estonia''s adult population, and is the largest cohort ever gathered in Estonia. The age, sex and geographical distribution of this cohort reflect the structure of the adult population in Estonia. The database enables to conduct research in order to find links between genes, environmental factors, lifestyles and complex diseases or other traits. Active use of the biobank has started and although the first users are researchers all over the world with hundreds of different projects currently underway, industry is also interested. At the international level, the EGCUT will join the BBMRI follow-up program (ERIC) and through this channel provide service (biobanking, genotyping, sequencing and data analysis) for the centers in Europe who need it. Currently, the first follow-up study is underway and the molecular information of the cohort will be increased. For example, we have over 12 000 DNA samples analyzed by high density genotyping arrays and over 10 000 plasma samples analyzed by NMR scans, over 1000 individuals with RNA expression arrays, 2000 individuals with clinical laboratory analysis (over 40 tests) and over 60 full genomes are under deep sequencing. The infrastructure of the EGCUT includes a laboratory for DNA genotyping and next generation sequencing all based on Illumina platforms (HiScanSQ, HiSeq2000 and robotics), an IT unit (databases) with required computing power and storage space (1.2PB), data analysis team (bioinformatics and statistical genetics) and last but not least, a patient recruitment unit (health records, lifestyle and environmental information and biological samples ����?����������?? DNA, plasma and WBC from all 51515 gene donors). This is all located on 1000m2 in a brand new laboratory building, Riia str 23, Tartu, Estonia.

Proper citation: Estonian Genome Center (RRID:SCR_004467) Copy   



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