Curator Dashboard

A vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.

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• SciCrunch
• 13 years ago - by Anonymous

This site exists to document developments in the field of personal archiving, and to support a broad community practitioners working to ensure long term access for various personal collections and archives. The Personal Digital Archiving 2011 Conference to be held February 24 & 25, 2011 at The Internet Archive, San Francisco. The full conference schedule is at http://www.personalarchiving.com/2011-schedule/ Register for the conference at http://pda2011.eventbrite.com/. Early bird rates end February 1.

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• SciCrunch
• 16 years ago - by Anonymous

IMGT/GENE-DB is the comprehensive IMGT genome database for immunoglobulin (IG) and T cell receptor (TR) genes from human and mouse, and, in development, from other vertebrates. IMGT/GENE-DB is the international reference for the IG and TR gene nomenclature and works in close collaboration with the HUGO Nomenclature Committee, Mouse Genome Database and genome committees for other species. IMGT/GENE-DB allows a search of IG and TR genes by locus, group and subgroup, which are CLASSIFICATION concepts of IMGT-ONTOLOGY. Short cuts allow the retrieval gene information by gene name or clone name. Direct links with configurable URL give access to information usable by humans or programs. An IMGT/GENE-DB entry displays accurate gene data related to genome (gene localization), allelic polymorphisms (number of alleles, IMGT reference sequences, functionality, etc.) gene expression (known cDNAs), proteins and structures (Protein displays, IMGT Colliers de Perles). It provides internal links to the IMGT sequence databases and to the IMGT Repertoire Web resources, and external links to genome and generalist sequence databases. IMGT/GENE-DB manages the IMGT reference directory used by the IMGT tools for IG and TR gene and allele comparison and assignment, and by the IMGT databases for gene data annotation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets.

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• SciCrunch
• 15 years ago - by Anonymous

Database of disease genes and risk factors and of host pathogen/interactomes. Lists genes, pathways and environmental risk factors positively associated with diseases and conditions such as Alzheimer's disease, schizophrenia, multiple sclerosis, childhood obesity, anorexia nervosa, HIV-1/AIDS, and helicobacter pylori. Details of polymorphisms as well as negative/positive association data can be found via Useful links. Throughout the site are links to Entrez Gene and Pubmed.

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• SciCrunch
• 17 years ago - by Anonymous

A U.S. nonprofit organization, in partnership with The Tuchman Foundation. It was formed to foster philanthropic activities to raise funds for the most promising Parkinson's disease research that will help find the cure. The Parkinson Alliance is dedicated to raising donations through special fundraising events. The Parkinson Alliance is also devoted to improving the quality of life in the DBS community through informational means and by funding promising research within the DBS field.

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• SciCrunch
• 14 years ago - by Anonymous

Comprehensive differentially methylated regions (DMR) analysis based on bimodal normal distribution model and weighted cost function for regional methylation analysis optimization.

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• SciCrunch
• 13 years ago - by Anonymous

Standard specification for the information required to report a genotyping experiment, covering: study and experiment design, subject information, genotyping procedure, and data analysis methods. The goal is to set a reporting standard for adoption by the research community to facilitate consistent data interpretation and independent validation/reproduction, and to serve as guidance for database design for storing genotyping experiment data. MIGen is being developed as a collaborative project involving international domain experts and is a registered project under MIBBI: Minimum Information for Biological and Biomedical Investigations.

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• SciCrunch
• 13 years ago - by Anonymous

Scientific and Statistical Computing Core of the NIMH Intramural Research Program supporting functional neuroimaging research at the NIH. This includes development of new data analysis techniques, their implementation in the AFNI software, advising researchers on the analysis methods, and instructing them in the use of software tools. Support methods: A. Provision of software for analysis for FMRI data (AFNI package: http://afni.nimh.nih.gov) * AFNI has been developed for the last 10 years by Dr Cox, et al. (6 years in Milwaukee, 4 years at NIMH) * Formal and informal instruction in the use of AFNI, including outlines of the statistical methods used in the programs * Installation of AFNI on NIH computers (Mac OS X, Unix, Linux) approximately 120 NIH systems have used AFNI in the last month (80 NIMH, 20 NINDS, 20 other) * Realtime monitoring of FMRI data at scanners * Continuing development of new modules for AFNI to meet needs of NIH researchers B. Consulting with NIH researchers about FMRI data analysis issues, concerns, and methods

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• SciCrunch
• 15 years ago - by Anonymous

This is MATLAB library to create Neuroshare data format. You can convert your own data into Neuroshare format file.

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• SciCrunch
• 13 years ago - by Anonymous

The Mental Illness Research, Education and Clinical Centers (MIRECC) were established by Congress with the goal of researching the causes and treatments of mental disorders and using education to put new knowledge into routine clinical practice in the VA. Congress established MIRECCs in October 1996 through Public Law 104-262. There are currently 10 MIRECCs. Each MIRECC focuses on mental illnesses or conditions that are common in Veterans. MIRECCs investigate the causes of mental illness, develop new treatments for mental illness, and evaluate both established and new treatments with the goal of identifying best practices. The MIRECCs also develop educational and training initiatives to implement best practices into the clinical settings of the VA. Each MIRECC works with all the facilities in its network (region) on research, education and clinical initiatives, evaluating services offered to the Veteran and helping the networks implement improved treatments, services, or practices. Several educational products are posted on this site on the Products page. These materials are in the public domain and available for your use. Many MIRECCs have additional materials that can be downloaded from their web sites or are available by request.

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• SciCrunch
• 15 years ago - by Anonymous

Provide quality human tissue grafts for transplantation, research or education through the compassionate support of families, outreach and education to communities. The Allograft Resources Tissue Bank was developed to fill a particular need within a single hospital in the San Antonio area. The tissue industry, as a whole, had persistently struggled with fulfilling the need for cryopreserved heart valves for the pediatric Cardiothoracic program at University Hospital. The region serviced by the University of Texas Health Science Center at San Antonio medical school and the University Hospital has a high population of pediatric patients with cardiothoracic anomalies which require pediatric heart surgery. From this need the Allograft Resource Program was developed and has continued to grow rapidly. The Allograft Resource Program has continued to add services as demanded by the local community and now offers a vast array of services to include compliance assistance, recovery services, bereavement support, and location and delivery of difficult to find grafts for implantation.

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• SciCrunch
• 16 years ago - by Anonymous

A computational pipeline for the analysis of MethylSeq experiments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology to represent the domain of cancer research and management in a computationally tractable manner.

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• SciCrunch
• 13 years ago - by Anonymous

FunSpec is a web-based tool for statistical evaluation of groups of genes and proteins (e.g. co-regulated genes, protein complexes, genetic interactors) with respect to existing annotations, including GO terms. FunSpec (an acronym for Functional Specification) inputs a list of yeast gene names, and outputs a summary of functional classes, cellular localizations, protein complexes, etc. that are enriched in the list. The classes and categories evaluated were downloaded from the MIPS Database and the GO Database . In addition, many published datasets have been compiled to evaluate enrichment against. Hypertext links to the publications are given. The p-values, calculated using the hypergeometric distribution, represent the probability that the intersection of given list with any given functional category occurs by chance. The Bonferroni-correction divides the p-value threshold, that would be deemed significant for an individual test, by the number of tests conducted and thus accounts for spurious significance due to multiple testing over the categories of a database. After the Bonferroni correction, only those categories are displayed for which the chance probability of enrichment is lower than: p-value/#CD where #CD is the number of categories in the selected database. Without the Bonferroni Correction, all categories are displayed for which the same probability of enrichment is lower than: p-value threshold in an individual test Note that many genes are contained in many categories, especially in the MIPS database (which are hierarchical) and that this can create biases for which FunSpec currently makes no compensation. Also the databases are treated as independent from one another, which is really not the case, and each is searched seperately, which may not be optimal for statistical calculations. Nonetheless, we find it useful for sifting through the results of clustering analysis, TAP pulldowns, etc. Platform: Online tool

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• SciCrunch
• 15 years ago - by Anonymous

A cloud computing tool for calculating differential gene expression in large RNA-seq datasets. It uses Bowtie for short read alignment and R/Bioconductor for interval calculations, normalization, and statistical testing. These tools are combined in an automatic, parallel pipeline that runs in the cloud (Elastic MapReduce in this case) on a local Hadoop cluster, or on a single computer, exploiting multiple computers and CPUs wherever possible.

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• SciCrunch
• 13 years ago - by Anonymous

A Monte Carlo (MC) solver for photon migration in 3D turbid media. Different from existing MC software designed for layered (such as MCML) or voxel-based media (such as MMC or tMCimg), MMC can represent a complex domain using a tetrahedral mesh. This not only greatly improves the accuracy of the solutions when modeling objects with smooth/complex boundaries, but also gives an efficient way to sample the problem domain to use less memory. The current version of MMC support multi-threaded programming and can give a almost proportional speed-up when using multiple CPU cores.

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• SciCrunch
• 13 years ago - by Anonymous

Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.

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• SciCrunch
• 17 years ago - by Anonymous

Composed of many projects, including the Minnesota Twin Family Study (MTFS) and The Sibling Interaction and Behavior Study (SIBS), this research center seeks to identify genetic and environmental influences on development and psychological traits. Both projects are longitudinal research studies including twins, siblings, and parents. Over 9800 individuals have contributed to these exciting projects! By studying twins and siblings and their families, we can estimate how genes and environment interact to influence character, strengths, vulnerabilities and values. Participants in the MTFS include families with same-sex identical or fraternal twins who were born in Minnesota. The SIBS study is comprised of adoptive and biological siblings and their parents. Most participants partake in day-long visits to the MCTFR, and due to the longitudinal nature of our projects, they return every 3-4 years for follow-up visits.

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• SciCrunch
• 14 years ago - by Anonymous

An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries .

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• SciCrunch
• 13 years ago - by Anonymous