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A C++ application designed for compression of genome collections from the same species.
Proper citation: GDC (RRID:SCR_001007) Copy
http://www.softgenetics.com/mutationSurveyor.php
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for DNA sequencing analysis that integates with Sanger Sequencing files generated by Applied Biosystems Genetic Analyzers, MegaBACE, and Beckman CEQ electrophoresis systems. It can be used to find single nucleotide polymorphisms (SNPs), insertions and deletions (INDELS), and somatic mutations in direct sequencing, PCR sequencing, mitochondrial DNA sequencing, and resequencing projects.
Proper citation: Mutation Surveyor (RRID:SCR_001247) Copy
http://www.genome.jp/kegg/expression/
Database for mapping gene expression profiles to pathways and genomes. Repository of microarray gene expression profile data for Synechocystis PCC6803 (syn), Bacillus subtilis (bsu), Escherichia coli W3110 (ecj), Anabaena PCC7120 (ana), and other species contributed by the Japanese research community.
Proper citation: Kyoto Encyclopedia of Genes and Genomes Expression Database (RRID:SCR_001120) Copy
http://scitools.idtdna.com/analyzer/Applications/OligoAnalyzer/
Web-based application for analyzing oligonucleotides. Analysis proceeds after the sequence has been entered and the calculations modified based on target type, oligo concentration, sodium ion concentration, magnesium ion concentration, and dNTP concentration.
Proper citation: Integrated DNA Technologies OligoAnalyzer (RRID:SCR_001363) Copy
Software package for nucleic acid folding and hybridization prediction. It has capabilities to predict folding for single-stranded RNA or DNA through a combination of free energy minimization, partition function calculations and stochastic sampling. The program runs on Unix and Linux platforms as well as Mac OS X and Windows.
Proper citation: UNAFold (RRID:SCR_001360) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022.Center hosting a number of related projects concerning neural networks, functional neuroimaging, multimedia signal processing, and biomedical signal processing. Neuroinformatics is a research field rooted in classical disciplines like signal processing, biology, physics, computer science and engineering. Neuroinformatics combines learning from the brain and learning about the brain. By studying information processing in the brain neuroinformatics invents new computing paradigms (e.g., artificial neural networks) with the objective of understanding the dynamics of the conscious mind. Artificial neural networks is an active neuroinformatics research field, which combines many approaches to adaptive signal processing in solving real world problems. They began using neural networks for general nonlinear adaptive signal processing. Since 1991 the CONNECT groups have participated in the development of neural computing as an advanced, non-linear statistical tool, which has been applied to forecasting within dynamical systems, pattern recognition, and medical image analysis, particularly functional neuroimages. While neural computing has largely been viewed as a black box approach, they have initiated research aimed at opening this black box, using hypertext, multimedia, and interactivity. Their key objective is to convert abstract models into intuitive knowledge through interactive visualization.
Proper citation: THOR Center for Neuroinformatics (RRID:SCR_001400) Copy
http://www.well.ox.ac.uk/happy/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package for Multipoint QTL Mapping in Genetically Heterogeneous Animals (entry from Genetic Analysis Software) The method is implemented in a C-program and there is now an R version of HAPPY. You can run HAPPY remotely from their web server using your own data (or try it out on the data provided for download).
Proper citation: Happy (RRID:SCR_001395) Copy
http://www.retinalmaps.com.au/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A database of over 700 retinal topography maps of a wide variety of species published in a diversity of journals. It has been assembled to assist vision and neuroscience researchers to locate and compare the distribution of retinal neurons within and across species. The maps can be searched by taxonomic or common name classification, cell type sampled, type of retinal specialization and staining/visualization method. Maps can be compared by selecting multiple maps and clicking the Compare Selected button. An interactive spreadsheet can be also downloaded.
Proper citation: Retinal Topography Maps Database (RRID:SCR_001399) Copy
CenterWatch is an online resource for news, directories, analysis, and proprietary market research for clinical research professionals and patients. For patients, CenterWatch is committed to providing information on clinical trials, specific drugs, as well as other essential health and educational resources. On this website, patients can search clinical trials, receive e-mail notifications about specific clinical trials, review results from completed clinical trials, search drug information, learn about volunteering for a clinical trial, read an overview of the clinical trials process and find other health and educational resources. For researchers, CenterWatch offers a wide range of tools and resources to improve patient and investigator recruitment, remain current with industry trends and business practices, and strengthen organizational procedures. CenterWatch also offers information on grant opportunities, and a variety of educational books and publications. Researchers can provide the public with information about their clinical trials by using the Clinical Trials Listing Serviceprovided through CenterWatch, or look up more specific information on medicines and equipment using Drug and Device Pipeline News. Overall, the mission of CenterWatch is to be the leading source of news, directories, analysis, and proprietary market research for clinical research professionals and patients. It is located in Boston, MA. :NIF thanks the :Parkinson's Disease Foundation : :for their referral of this resource to us.
Proper citation: CenterWatch (RRID:SCR_001158) Copy
http://www.bioconductor.org/packages/2.14/bioc/html/CGHbase.html
Software package that contains functions and classes that are needed by arrayCGH packages.
Proper citation: CGHbase (RRID:SCR_001279) Copy
Biomedical technology research center that provides state-of-the-art surface analysis expertise, instrumentation, experimental protocols, and data analysis methods to address surface-related biomedical problems. NESAC/BIO develops and applies surface science methodologies that produce a full understanding of the surface composition, structure, spatial distribution, and orientation of biomaterials and adsorbed biomolecules. The NESAC/BIO program identifies areas where surface science must evolve to keep pace with the growth in biochemical knowledge and biomaterial fabrication technology, and develops instrumentation, experimental protocols, and data analysis methods to achieve this evolution. NESAC/BIO provides state-of-the-art surface analysis tools to researchers in the biomedical community. You can gain access to the NESAC/BIO facilities in one of the following ways: * Collaborative: Propose a project to collaborate on with NESAC/BIO. The project should be rewarding for both groups, and the results should reflect the utility of surface analysis for biomedical research * Service: Ask NESAC/BIO to analyze your biomaterial specimens. The spectra obtained from the analyses will be interpreted for you. * Training: Visit the University of Washington to receive training in surface analysis and personally run experiments for your individual research projects. These experiments should have a high probability for yielding useful information and should not involve the development of new ESCA techniques or methodologies.
Proper citation: National ESCA and Surface Analysis Center for Biomedical Problems (RRID:SCR_001430) Copy
An image processing program running under Windows suitable for such tasks as tensor calculation, color mapping, fiber tracking, and 3D visualization. Most of operations can be done with only a few clicks. This tool evolved from DTI Studio. Tools in the program can be grouped in the following way: * Image Viewer * Diffusion Tensor Calculations * Fiber Tracking and Editing * 3D Visualization * Image File Management * Region of Interesting (ROI) Drawing and Statistics * Image Registration
Proper citation: MRI Studio (RRID:SCR_001398) Copy
A repository of Common Data Elements (CDE). The CDE is a standardized, precisely defined question, paired with a set of allowable responses, used systematically across different sites, studies, or clinical trials to ensure consistent data collection. Multiple CDEs (from one or more Collections) can be curated into Forms. Forms in the Repository might be original, or might recreate the format of real-world data collection instruments or case report forms. NIH has endorsed collections of CDEs that meet established criteria. NIH-endorsed CDEs are designated with a gold ribbon. Users can Browse NIH-Endorsed CDEs, Browse All CDEs, or Browse Forms.
Proper citation: NIH Common Data Element Repository (RRID:SCR_001390) Copy
http://www.bioconductor.org/packages/release/bioc/html/simpleaffy.html
Software package that provides high level functions for reading Affy .CEL files, phenotypic data, and then computing simple things with it, such as t-tests, fold changes and the like. It makes heavy use of the affy library. It also has some basic scatter plot functions and mechanisms for generating high resolution journal figures.
Proper citation: Simpleaffy (RRID:SCR_001302) Copy
http://www.opencolleges.edu.au/informed/learning-strategies/
Interactive infographic of a brain exploring more than 100,000 chemical reactions, highlighted by areas and explanations of what that area is known to do.
Proper citation: Open Colleges Interactive Brain (RRID:SCR_001427) Copy
A repository of de-identified control arm data of patients from clinical studies of Alzheimer's disease and Mild Cognitive Impairment. It provides the ability to analyze the data online with the R statistical analysis program, create and download standard reports, run complex queries, or download data to a desktop for further analysis. Additional data will be added to the database over time. Critical Path Institute consortia members and qualified researchers may upload and work on scientific data relevant to biomarkers of drug toxicity, neurodegenerative diseases, and patient-reported outcomes.
Proper citation: CODR: C PATH On Line Data Repository (RRID:SCR_001388) Copy
http://c-path.org/programs/camd/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 8, 2022. Consortium developing new technologies and methods to accelerate the development and review of medical products for neurodegenerative diseases. It is focused on accelerating drug development for patients with chronic neurodegenerative disease, namely, Alzheimer's disease (AD) and Parkinson's disease (PD), by advancing drug development tools for evaluating drug efficacy, conducting clinical trials, and streamlining the process of regulatory review. The consortium focuses on sharing precompetitive patient-level data from the control arms of legacy clinical trials, developing new tools to be submitted to the regulatory agencies, and developing consensus data standards. CAMD has the following areas of focus: (1) qualification of biomarkers, (2) development of common data standards, (3) creation of integrated databases for clinical trials data, and (4) development of quantitative model-based tools for drug development. Regulatory milestones include a qualification opinion with EMA for the use of low baseline hippocampal volume for patient enrichment in pre-dementia trials, and most recently, positive regulatory decisions from the FDA and EMA for the use of a clinical trial simulation tool to aid in trials for mild to moderate stages of AD., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CAMD (RRID:SCR_001389) Copy
http://sourceforge.net/projects/mutascope/
Software suite to analyze data from high throughput sequencing of PCR amplicons, with an emphasis on normal-tumor comparison for the accurate and sensitive identification of low prevalence mutations.
Proper citation: Mutascope (RRID:SCR_001265) Copy
Software resource for multiple whole genome alignment. It uses Nucmer, a custom graph-based segmentation procedure, for pairwise alignment, and the Seqan:TCoffee's multiple alignment strategy.
Proper citation: Mugsy (RRID:SCR_001414) Copy
http://www.codoncode.com/productsservices/phrap.htm#PHRED
A base calling program for DNA sequence traces.
Proper citation: Phred (RRID:SCR_001017) Copy
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