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http://www.biobase-international.com/product/genome-trax
Service that provides a comprehensive compilation of variant knowledge that allows you to identify pathogenic variants in human whole genome or exome sequences. It makes it easy to upload a complete genome?s worth of variations and identify the biologically relevant subset of known mutations, mutations that are novel and appear in a candidate disease genes, or mutations that are predicted to have a deleterious effect. The database includes a comprehensive collection of disease causing mutations from HGMD Professional, regulatory sites from TRANSFAC , and disease genes, drug targets and pathways from PROTEOME, as well as pharmacogenomic variants. It integrates the best public data-sets on somatic mutations, allele frequencies and clinical variants, in their most up-to-date version, for a total of more than 165 million annotations. It is possible to identify known pathogenic variants, remove harmless common variants, and obtain deleterious predictions for novel variants. With family data, it is possible to identify variants that are de novo, compound heterozygous only in the offspring. All of the results can be downloaded to Excel for further review. For core facilities and bioinformaticians, the complete underlying data is made available for download and easy integration into custom analysis pipelines. Genome Trax data is optimized to work with many other software packages, such as ANNOVARTM, CLC bio, Alamut, SimulConsult, and Cartagenia.
Proper citation: Genome Trax (RRID:SCR_001234) Copy
http://www.bioconductor.org/packages/release/bioc/html/ITALICS.html
Software package to normalize of Affymetrix GeneChip Human Mapping 100K and 500K set.
Proper citation: ITALICS (RRID:SCR_001274) Copy
https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html
Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.
Proper citation: DEXUS (RRID:SCR_001309) Copy
https://github.com/vital-ai/vital-documentation/wiki/Vital-AI-Ontology
Ontology for the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. It provides a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.
Proper citation: Vital Signs Ontology (RRID:SCR_001422) Copy
Biomedical technology research center that pioneers and provides access to microscopic imaging instruments for biologic and clinical research. Optical coherence tomography (OCT) has evolved over the last two decades to become a standard of care for diagnostic ophthalmic imaging and is poised to make significant impact in the fields of cardiology and gastrointestinal endoscopy. Access to state-of-the-art instrumentation, however, has been limited to a relatively few research laboratories and the optimization of instruments for new biomedical applications has hindered the investigation of new opportunities. A major focus of CBORT will be to cultivate strategic research collaborations and respond to a pressing need for application-specific OCT instrumentation and hardware.
Proper citation: Center for Biomedical OCT Research (RRID:SCR_001418) Copy
Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions.
Proper citation: SNPper (RRID:SCR_001963) Copy
A not-for-profit, volunteer based charity whose purpose is to find a cure for Parkinson's disease through research, advocacy, education and support services. Parkinson Society Canadas leads initiatives that include: raising funds for research through national events; funding research, movement disorder clinics, and outreach programs across Canada; staffing a national Information and Referral Centre; developing educational and information materials; providing up to date detailed information about Parkinson's disease; and providing support for regional partners to better meet the needs of people living with Parkinson's services. Researchers can apply for various funding awards and fellowships by following the funding process outlined by Parkinson Society Canada.
Proper citation: Parkinson Society Canada (RRID:SCR_002014) Copy
Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.
Proper citation: Wellcome Trust Case Control Consortium (RRID:SCR_001973) Copy
http://www.genoscope.cns.fr/spip/spip.php?lang=en
French national sequencing center with the following resources: * Sequencing ** Genoscope Projects * Environmental genomics ** Microbial diversity in wastewater ** Metabolic genomics * Bioinformatics ** Atelier for comparative genomics ** Computational Systems Biology ** Servers resources *** GGB for Generic Genome Browser: graphic interface for various databases (sequence, annotation, syntenies...) for a given organism. *** MaGe for Magnifying Microbial Genomes: annotation system for microbial genomes.
Proper citation: Genoscope (RRID:SCR_002172) Copy
http://www.nitrc.org/projects/multimodal/
Scan-rescan imaging sessions on 21 healthy volunteers (no history of neurological disease) intended to be a resource for statisticians and imaging scientists to be able to quantify the reproducibility of their imaging methods using data available from a generic 1 hour session at 3T. Imaging modalities include MPRAGE, FLAIR, DTI, resting state fMRI, B0 and B1 field maps, ASL, VASO, quantitative T1 mapping, quantitative T2 mapping, and magnetization transfer imaging. All data have been converted to NIFTI format. Please cite: Bennett. A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A.D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar, Peter B. Barker, Jerry L. Prince, and Peter C.M. van Zijl. ?Multi-Parametric Neuroimaging Reproducibility: A 3T Resource Study?, NeuroImage. (2010) NIHMS/PMC:252138 doi:10.1016/j.neuroimage.2010.11.047
Proper citation: Multi-Modal MRI Reproducibility Resource (RRID:SCR_002442) Copy
A multicenter randomized clinical trial that aims to determine the best therapies for people with type 2 diabetes and moderately severe cardiovascular disease. 2368 participants were randomized at 49 sites in 6 countries. All subjects were given intensive medical therapy to control cholesterol and blood pressure and given counseling, if needed, to quit smoking and to lose weight. Beyond that, they compared whether prompt revascularization, either bypass surgery or angioplasty, e.g. stents, was more effective than medical therapy alone. At the same time, they also looked at which of two diabetes treatment strategies resulted in better outcomes����??insulin-providing versus insulin-sensitizing - that is, increasing the amount of insulin or making the insulin work better. Only patients with known type 2 diabetes and heart disease that could be treated appropriately with a revascularization OR medical therapy alone were eligible for the trial. Patients entered the study between January 2001 ����?? March 2005 and were followed for an average of five years. When a patient entered the study, physicians first decided whether that patient should receive stenting or bypass surgery. The patient then received their randomization assignment. All patients were treated in BARI 2D for both their diabetes and heart disease, as well as other risk factors that might effect those diseases, regardless of which group they were in. Diabetes-specific complications including retinopathy, nephropathy, neuropathy, and peripheral vascular disease were monitored regularly. Tests, blood samples, urine samples, and treatment cost data were obtained periodically through the trial and examined by experts at 7 central laboratories and other research partners. Experts on risk factors routinely oversaw treatments of all patients at 4 central management centers. A panel of independent experts reviewed data every six months to make sure that all patients were receiving safe care.
Proper citation: BARI 2D (RRID:SCR_001496) Copy
Global funder of type 1 diabetes (T1D) research that aims to progressively remove the impact of T1D from people's lives until a world without T1D is achieved. JDRF collaborates with a wide spectrum of partners and is the only organization with the scientific resources, regulatory influence, and a working plan to better treat, prevent, and eventually cure T1D. More than 80 percent of JDRF's expenditures directly support research and research-related education. In 2012 Forbes magazine named JDRF one of its five All-Star charities, citing the organization's efficiency and effectiveness. The organization awards research grants for laboratory and clinical investigations and sponsors a variety of career development and research training programs for new and established investigators. JDRF also sponsors international workshops and conferences for biomedical researchers. Individual chapters offer support groups and other activities for families affected by diabetes.
Proper citation: Juvenile Diabetes Research Foundation (RRID:SCR_001522) Copy
Computational model that can be used for estimating human and rat airway particle dosimetry. The model is applicable to risk assessment, research, and education. The MPPD model calculates the deposition and clearance of monodisperse and polydisperse aerosols in the respiratory tracts of rats and human adults and children (deposition only) for particles ranging in size from ultrafine (0.01 micrometers) to coarse (20 micrometers). The models are based on single-path and multiple-path methods for tracking air flow and calculating aerosol deposition in the lung. The single-path method calculates deposition in a typical path per airway generation, while the multiple-path method calculates particle deposition in all airways of the lung and provides lobar-specific and airway-specific information. Within each airway, deposition is calculated using theoretically derived efficiencies for deposition by diffusion, sedimentation, and impaction within the airway or airway bifurcation. Filtration of aerosols by the nose and mouth is determined using empirical efficiency functions. The MPPD model includes calculations of particle clearance in the lung following deposition.
Proper citation: Multiple-Path Particle Dosimetry Model (RRID:SCR_001486) Copy
Freestanding, nonprofit coordinating center for multi-center clinical trials and epidemiologic research that focus on projects involving eye disorders or type 1 diabetes.
Proper citation: Jaeb Center for Health Research (RRID:SCR_001513) Copy
International, randomized, double-blinded trial to determine whether weaning to a casein hydrolysate formula during the first 6-8 months of life in place of cow milk based formula reduces the incidence of autoimmunity and type 1 diabetes in genetically susceptible newborn infants. 2160 eligible infants were randomized to test or control formulas when mothers decide to wean from exclusive breastfeeding. The participants will be monitored up to the age of 10 years for the appearance of diabetes-predictive autoantibodies and clinical type 1 diabetes. The TRIGR trial will determine whether delayed exposure to intact food proteins will reduce the chances of developing type 1 diabetes later in life. All babies in the study received the recommendation to breastfeed for at least the first six months of life. If a mother was unable to exclusively breastfeed before the baby was 8 months of age, her child was randomly assigned to one of two groups. One group of these babies received a trial formula based on extensively hydrolyzed protein; the other group received another trial formula containing a smaller amount of hydrolyzed protein. In the hydrolyzed formula, the big protein molecules have been split into very small fragments to provide a source of nutritional amino acids, but the fragments are likely too small to stimulate the immune system. The TRIGR trial will also be able to analyze whether exclusive breastfeeding per se can reduce the risk of the children to develop type 1 diabetes.
Proper citation: TRIGR (RRID:SCR_001550) Copy
https://repository.niddk.nih.gov/study/67
Clinical trial under the Urinary Incontinence Treatment Network to compare the treatment success for two surgical procedures that are frequently used and have similar cure rates, yet have not been compared directly to each other in a large, rigorously conducted randomized trial. The secondary aims of the trial are to compare other outcomes for the two surgical procedures, including quality of life, sexual function, satisfaction with treatment outcomes, complications, and need for other treatment(s) after surgery. Follow-up will be a minimum of two years and up to four years.
Proper citation: SISTEr (RRID:SCR_001542) Copy
http://www.celllineauthentication.com/
A material analysis service of the commercial organization Genetica DNA Laboratories which provides authentication of human cancer cell lines, stem cell lines and xenografts utilizing STR DNA technology.
Proper citation: Cell Line Authentication Testing (RRID:SCR_014504) Copy
Brain research group affiliated with the Nanjing University of Aeronautics and Astronautics (NUAA) in China. The main research interests of iBRAIN include developing methods in machine learning, data mining, neural computation, and related areas for decoding brain functions or recognizing brain disease. Research related code and datasets can be found on the main site.
Proper citation: iBRAIN (RRID:SCR_014691) Copy
Foundation for improving the quality of life for people affected by OI through treatment and cure research, education, awareness, and mutual support. OIF lists personal resources for individuals affected by osteogenesis imperfecta as well as professional and clinical resources for researchers.
Proper citation: Osteogenesis Imperfecta Foundation (RRID:SCR_015034) Copy
http://gmod.org/wiki/Flash_GViewer
Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool
Proper citation: Flash Gviewer (RRID:SCR_012870) Copy
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