Curator Dashboard

Software tool that analyses performance of several variant prediction methods at different levels. Used to benchmark variant effect predictors from VCF files.

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• RRID
• 3 years ago - submitted by Pedro Barbosa

A neuroscience collaboratory that supports open neuroscience, which basically encompasses the unrestricted sharing of: analytic tools, computational resources, data, and knowledge. Its goal is to establish a spirit and forum for open neuroscience, and to facilitate the translation of that ethos into action by conducting successful large open interdisciplinary collaborative efforts such as releasing the preprocessed version of the ADHD-200 competition dataset. The Brain-Art Competition is likewise an effort to bring attention to the more aesthetically-oriented aspects of their field, and to publicize and encourage creative developments taking place at the nexus of art and neuroimaging.

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• SciCrunch
• 15 years ago - by Anonymous

A database of flow cytometry experiments where users can query and download data collected and annotated according to the MIFlowCyt data standard.

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• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

Web application as interactive multi-sample BAM alignment statistics, feature counting and feature annotation for long- and short-read sequencingas.

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• RRID
• 3 years ago - submitted by Tobias Rausch

A tool for automatically scheduling events for rapid-presentation event-related (RPER) fMRI experiments (the schedule is the order and timing of events). Events in RPER are presented closely enough in time that their hemodynamic responses will overlap. This requires that the onset times of the events be jittered in order to remove the overlap from the estimate of the hemodynamic response. RPER is highly resistant to habituation, expectation, and set because the subject does not know when the next stimulus will appear or which stimulus type it will be. RPER is also more efficient than fixed-interval event related (FIER) because more stimuli can be presented within a given scanning interval at the cost of assuming that the overlap in the hemodynamic responses will be linear. In SPM parlance, RPER is referred to as ''stochastic design''. This is a subproject of the Center for Functional Neuroimaging Techniques (http://www.nitrc.org/projects/cfnt/)

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• SciCrunch
• 15 years ago - by Anonymous

Software application which computes cortical three-dimensional distribution of current density of the brain based on the scalp-recorded electric potential distribution. The exact low resolution brain electromagnetic tomography method has the property of exact localization to test point sources, yielding images of current density with exact localization, albeit with low spatial resolution. eLORETA has no localization bias even in the presence of structured noise. Deep structures, such as the anterior cingulate cortex and mesial temporal lobes, can be correctly localized with these methods.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

Proteomics Unit is joint effort of Universitat Pompeu Fabra and Center of Genomic Regulation. Provides proteomics services by offering state-of-the-art methods, advise and expertise to support basic and translational researchers; developing new methods and techniques that keep the unit up to date and at the forefront of the proteomics field; training community and actively disseminating proteomics science and methods.Part of Spanish National Infrastructure for Omics Technologies and European Proteomics Infrastructure Consortium, and it coordinates European innovative and interdisciplinary Research and Training network. The Proteomics Unit is also part of Spanish National Health System.

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• SciCrunch
• 3 years ago - submitted by Edyta Vieth

A data set of connectivity statements from BAMS, CoCoMac, BrainMaps, Connectome Wiki, the Hippocampal-Parahippocampal Table of Temporal-Lobe.com, and Avian Brain Circuitry Database. The data set lists which brain sites connectivity is to and from, the organism connectivity is mapped in, and journal references.

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• SciCrunch
• 14 years ago - by Anonymous

A production service resource which transforms scientific articles into infographics. In order to make an infograph, users must submit a package to DrawScience containing a scholarly article(s) to base the infographic on, a summary of the rationale and conclusions of the research, and definitions for 5 or less terms necessary to understand the research. Users may also make an infographic which will be attributed to them.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

Software suite of automated docking tools. Designed to predict how small molecules, such as substrates or drug candidates, bind to receptor of known 3D structure. AutoDock consist of AutoDock 4 and AutoDock Vina. AutoDock 4 consists of autodock to perform docking of ligand to set of grids describing target protein, and autogrid to pre calculate these grids.

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• SciCrunch
• 13 years ago - by Anonymous

It is the most comprehensive child care study conducted to date to determine how variations in child care are related to children''s development. The NICHD SECCYD is a longitudinal study initiated by The National Institute of Child Health and Human Development (NICHD) in 1989 to answer the many questions about the relationship between child care experiences and characteristics and children''s developmental outcomes. After a thorough scientific review, the NICHD selected a research team located at universities across the U.S., and at the NICHD, together providing multiple perspectives on and interests in child care research. The network was led and managed by a Steering Committee which included an independent chairperson, one representative from each of the grantee sites, one representative from the data center and one representative from NICHD. The Steering Committee established policies and procedures that governed the operations of the network, including its publication procedures. The progress of the study was monitored by NICHD and by the Steering Committee with guidance from an Advisory Board which was nominated by the Director of NICHD. This team of researchers worked cooperatively to design and implement the study, and in 1991, enrolled a very diverse sample of children and their families at 10 locations across the U.S. The NICHD SECCYD is characterized by a complex and detailed study design which takes into account many variables, including characteristics of the child care and the family environment. Researchers assessed children''s development using multiple methods (trained observers, interviewers, questionnaires, and testing) and measuring many facets of children''s development (social, emotional, intellectual, language development, behavioral problems and adjustment, and physical health). The 1,364 children and their families enrolled in the study were followed from birth to age 3 years during Phase I of the study from 1991-1994. Phase II of the study was conducted between 1995-2000 to follow the 1226 children and families continuing to participate from age 54 months through their second year in school. Phase III of the study was conducted between 2000 - 2005 to follow over 1100 of the children through their seventh year in school. Phase IV was conducted between 2006 2007 to follow over 1000 of the original families through age 15. The NICHD SECCYD was conducted by a network of investigators, the NICHD Early Child Care Research Network. You may view information regarding data assessments, study publications, as well as a listing of the study researchers and committee members on the study website located at http://secc.rti.org. Qualified researchers are able to become affiliates with the study to utilize data from all phases of the study. As of January 2009, the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan assumed responsibility for the administration of data use agreements for the Phase I IV data. The ICPSR Data Use Agreement can be found at the following location: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/21940/documentation. If you have questions regarding the ICPSR process, please contact Russel Hathaway at rhataway (at) umich.edu.

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• SciCrunch
• 14 years ago - by Anonymous

Independent peer review for evolution, ecology and related fields. We put your paper through rigorous peer review and then find a journal that's interested in publishing it. Our current statistics: 80% of referred papers get accepted at the journal, half of these don't go back out for review.

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• SciCrunch
• 12 years ago - by Anonymous

Software for protein domain search. It is a part of Embassy software package.

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• SciCrunch
• 9 years ago - submitted by Isabella Froman

Produce new neurological mouse models that could serve as experimental models for the exploration of basic neurobiological mechanisms and diseases. The impetus for the program resulted from the recognition that: * The value of genomic data would remain limited unless more information about the functionality of its individual components became available. * The task of linking genes to specific behavior would best be accomplished by employing a combination of different approaches. In an effort to complement already existing programs, the Neuroscience Mutagenesis Facility decided to use: a random, genome-wide approach to mutagenesis, i.e.N-ethyl-N-nitrosourea (ENU) as the mutagen; a three-generation back-cross breeding scheme to focus on the detection of recessive mutations; behavioral screens selective for the detection of phenotypes deemed useful for the program goals. The resulting mutant mouse lines have been available to the scientific community for the last five years and over 700 NMF mice have been sent to interested investigators for research; these mutant mouse lines will remain available as frozen embryos (which can be re-derived on request) and can be ordered through the JAX customer service at 1-800-422-6423 (or 207-288-5845). The results of the work of the Neuroscience Mutagenesis Facility and that of two other neurogenesis centers, i.e. The Neurogenomics Project at Northwestern University, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium, can also be seen at Neuromice.org, a common web site of these three research centers; in addition, information about all mutants produced by these groups has been recorded in MGI.

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• SciCrunch
• 15 years ago - by Anonymous

Anatomical brain template library which includes models from ICBM 2009 template.Number of unbiased non-linear averages of MNI152 database have been generated that combines attractions of both high-spatial resolution and signal-to-noise while not being subject to vagaries of any single brain. Procedure involved multiple iterations of process where, at each iteration, individual native MRIs were non-linearly fitted to the average template from previous iteration, beginning with MNI152 linear template.

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• SciCrunch
• 11 years ago - submitted by Kristen Jensen

Open source software tool to manipulate files in GFF format. Used to convert, sort, filter, transform, or cluster genomic features.

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• RRID-Legacy
• 6 years ago - submitted by John Hamilton

EyesWeb refers both to the research projects of InfoMus Lab on multimodal interactive systems and expressive gesture, and to the open software platform to support the development of real-time multimodal distributed interactive applications. The EyesWeb project started in 1997, as a natural evolution of the HARP Project (see www.infomus.org). The current release of the open software platform is EyesWeb XMI (eXtended Multimodal Interaction). The EyesWeb software platform has been developed in EU IST projects in the 5th (MEGA, www.megaproject.org) and 6th Framework Programme (TAI-CHI, Tangible Acoustic Interfaces for Computer Human Interaction). EyesWeb has been adopted in several other EU projects, has been licensed to more than 15,000 individual users, companies, and institutions. EyesWeb is also used in University courses and summer schools (e.g. the New York University Summer Program on Music, dance and new technologies). Software tools EyesWeb open software platform FreeFrame SDK Harp Petri Net Visual Editor and Simulation Software (Linux Version) Petri Net Visual Editor and Simulation Software (Win32 Version) Hardware tools Wireless On-Body-Sensors-to-Midi Box Long-distances MIDI tx/rx Video Multiplexer for connecting and synchronizing two videocameras to the same frame grabber Multimedia interfaces for robot-human interaction DanceWeb ultrasound sensor system

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• SciCrunch
• 17 years ago - by Anonymous

A longitudinal study of late-life depression at Duke University. There are 281 depressed subjects and 154 controls included. An MR scan of each subject was obtained every 2 years for up to 8 years (total of 1093 scans). Clinical assessments occurred more frequently and consists of a battery of psychiatric tests, including several depression-specific tests.

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• SciCrunch
• 11 years ago - submitted by Kristen Jensen

Consortium to improve health outcomes and reduce HIV transmission among diverse range of populations affected by alcohol and HIV infection in Florida. Fosters interdisciplinary translational research, training and community engagement. One of five national Consortia for HIV/AIDS and Alcohol Research Translation (CHAART). Supports Researcher Hub for researchers interested in SHARC research, publication, presentations, and opportunity to access, and analyze datasets via SHARC Concepts System.

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• RRID
• 3 years ago - submitted by Anita Bandrowski

Suite of Python scripts for quality control of genetic markers, group analysis and inference of linear order of markers on linkage groups. MadMapper_RECBIT analyses raw marker scores for recombinant inbred lines. MadMapper_RECBIT generates pairwise distance scores for all markers, clusters based on pairwise distances, identifies genetic bins, assigns new markers to known linkage groups, validates allele calls, and assigns quality classes to each marker based on several criteria and cutoff values. MadMapper_XDELTA utilizes new algorithm, Minimum Entropy Approach and Best-Fit Extension, to infer linear order of markers. MadMapper_XDELTA analyzes two-dimensional matrices of all pairwise scores and finds best map that has minimal total sum of differences between adjacent cells (map with lowest entropy). MadMapper is freely available at http://www.atgc.org/XLinkage/MadMapper/ (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous