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http://sourceforge.net/projects/bless-ec/

Software tool for Bloom-filter-based error correction for next-generation sequencing (NGS) reads. The algorithm produces accurate correction results with much less memory.

Proper citation: BLESS (RRID:SCR_005963) Copy   

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http://fungidb.org/fungidb/

FungiDB is a database for functional and evolutionary comparison of fungal genomes. FungiDB is a functional genomic resource for pan-fungal genomes that was developed in partnership with the Eukaryotic Pathogen Bioinformatic resource center (http://EuPathDB.org). FungiDB uses the same infrastructure and user interface as EuPathDB, which allows for sophisticated and integrated searches to be performed using an intuitive graphical system. The current release of FungiDB contains genome sequence and annotation from 18 species spanning several fungal classes, including the Ascomycota classes, Eurotiomycetes, Sordariomycetes, Saccharomycetes and the Basidiomycota orders, Pucciniomycetes and Tremellomycetes, and the basal "Zygomycete" lineage Mucormycotina. Additionally, FungiDB contains cell cycle microarray data, hyphal growth RNA-sequence data and yeast two hybrid interaction data. The underlying genomic sequence and annotation combined with functional data, additional data from the FungiDB standard analysis pipeline and the ability to leverage orthology provides a powerful resource for in silico experimentation.

Proper citation: FungiDB (RRID:SCR_006013) Copy   

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http://web.mit.edu/Edgerton/www/HighSpeed.html

The MIT Edgerton Center carries on the legacy of Doc Edgerton''s research and teaching by providing the Institute with a continuing expertise in high-speed and scientific imaging. Our facilities include a large studio space, a photographic darkroom, and a digital imaging studio equipped with an array of scanners, digital cameras, printers and plotters, and Macintosh computers. In addition, we have several technical digital cameras, including: * Redlake MASD PCI Motionscope, monochrome high-speed video at up to 8,000 images per second. * Concurrent analog data acquisition via a National Instruments A/D card. * Midas 2.0 motion analysis software from Xcitex, Inc. * NAC Model color high-speed camera (in process of donation). * Redlake MASD Ektapro 1012 high-speed video, monochrome, up to 12,000 images per second. * Redlake MASD Megaplus 1.4i scientific still camera These systems are available for use by interested MIT researchers and instructors, and by students pursuing hands-on projects. Each summer we offer a week-long course on high-speed imaging through the MIT Professional Institute. This subject (6.51s) is designed for scientists, engineers, and photographers who need to gather data on rapidly moving subjects and events for study, motion analysis, and trouble-shooting. Mornings are spent in the lecture hall learning the fundamentals for lighting, imaging technologies, and motion analysis. Afternoons are spent making high-speed images in the laboratory. For MIT students, we offer the popular Strobe Project Lab (6.163) to 24 students each term, where students learn the fundamentals of high-speed imaging and apply these techniques to final projects of their own choosing. Two subjects are offered that investigate digital imaging and image manipulation, SP.757 in Fall terms, and SP.747 in Spring terms.

Proper citation: Edgerton Center High Speed Imaging (RRID:SCR_005960) Copy   

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http://jjwanglab.org:8080/gwasdb/

Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3)

Proper citation: GWASdb (RRID:SCR_006015) Copy   

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http://equilibrator.weizmann.ac.il/

Web interface designed for thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions. It can provide estimates for compounds in the KEGG database, and individual compounds and enzymes can be searched for by their common names (water, glucosamine, hexokinase). Reactions can be entered in a free-text format that eQuilibrator parses automatically. eQuilibrator also allows manipulation of the conditions of a reaction - pH, ionic strength, and reactant and product concentrations.

Proper citation: eQuilibrator (RRID:SCR_006011) Copy   

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http://www.ddcf.org/

The mission of the Doris Duke Charitable Foundation is to improve the quality of people''s lives through grants supporting the performing arts, environmental conservation, medical research and the prevention of child abuse, and through preservation of the cultural and environmental legacy of Doris Duke''s properties. Established in 1996, the foundation supports four national grant-making programs. It also supports three properties that were owned by Doris Duke in Hillsborough, New Jersey; Honolulu, Hawaii; and Newport, Rhode Island. The foundation is headquartered in New York and is governed by a board of 12 Trustees. DDCF''s activities are guided by the will of Doris Duke, who endowed the foundation with financial assets that totaled approximately $1.6 billion as of December 31, 2010. The foundation regularly evaluates and modifies its allocation of resources from the endowment to support the programs and properties and to respond to fluctuations in portfolio returns. The foundation awarded its first grants in 1997. As of December 31, 2011, the foundation has awarded grants totaling more than $1 billion. DDCF awards grants in four core program areas: * The Arts Program supports performing artists with the creation and public performance of their work. * The Environment Program supports efforts that enable communities to protect and manage wildlife habitat and create efficient built environments. * The Medical Research Program seeks to contribute to the prevention and cure of disease by supporting clinical research. * The Child Abuse Prevention Program seeks to protect children from abuse and neglect in order to promote their healthy development. In the fall of 2007, DDCF also launched the African Health Initiative, with the goal of strengthening health systems in sub-Saharan Africa. The Building Bridges Program, which seeks to increase public understanding of Islamic cultures through media and the arts, is funded through the Doris Duke Foundation for Islamic Art and is headquartered in DDCF''s offices in New York. The Properties In her will, Doris Duke requested that several operating foundations manage the properties listed below. She also expressed her wishes that the properties be opened for public visitation and used for educational programs. The operating foundations receive funding from the Doris Duke Charitable Foundation. * The Duke Farms Foundation manages a 2,700-acre property in Hillsborough, New Jersey, which is known as Duke Farms and has a mission of environmental stewardship. * The Doris Duke Foundation for Islamic Art manages Doris Duke''s home in Honolulu, Hawaii, which is known as Shangri La and serves as a center for the study of Islamic art and cultures. * The Newport Restoration Foundation preserves historic houses in Newport, Rhode Island, and operates Doris Duke''s home in Newport known as Rough Point, which is also a public museum.

Proper citation: Doris Duke Charitable Foundation (RRID:SCR_006012) Copy   

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http://freesurfer.net/fswiki/HippocampalSubfieldSegmentation

A software package for automatic segmentation of hippocampal subfields in magnetic resonance imges. Given a pair of T1-weighted and T2-weighted images (the latter acquired using a protocol tuned for hippocampus imaging), ASHS will automatically label main subfields of the hippocampus, and some extra-hippocampal structures, using multi-atlas segmentation. The main method is described in the Yushkevich et al. 2011 Neuroimage paper (http://tinyurl.com/cffrp3p). * execution requires: Advanced Normalization Tools, FSL

Proper citation: Segmentation of Hippocampus Subfields (RRID:SCR_005996) Copy   

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http://purl.bioontology.org/ontology/RCTONT

Ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.

Proper citation: Randomized Controlled Trials Ontology (RRID:SCR_005992) Copy   

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http://web.mit.edu/swg/software.htm

Toolbox for post-processing fMRI data. Includes software for comprehensive analysis of sources of artifacts in timeseries data including spiking and motion. Most compatible with SPM processing, but adaptable for FSL as well. * Operating System: MacOS, Windows, Linux * Programming Language: MATLAB * Supported Data Format: ANALYZE

Proper citation: Artifact Detection Tools (RRID:SCR_005994) Copy   

•   Source: SciCrunch Registry

http://www.brain-map.org/api/index.html

API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service

Proper citation: Allen Brain Atlas API (RRID:SCR_005984) Copy   

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http://novabiologics.com/

An Antibody supplier

Proper citation: NOVA Biologics (RRID:SCR_005985) Copy   

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http://connectomes.utah.edu/

A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications.

Proper citation: Viking Viewer for Connectomics (RRID:SCR_005986) Copy   

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http://www.unc.edu/~grwu/Software.html

A software plugin for 3D Slicer that matches morphological signatures of medical images automatically. HAMMER is an acronym for Hierarchical Attribute Matching Mechanism for Elastic Registration (Dinggang Shen, Christos Davatzikos, HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, IEEE Trans. on Medical Imaging, 21(11):1421-1439, Nov 2002) - an elastic registration algorithm for medical images, matching morphological signatures of images in a hierarchical multi-scale regime. White matter lesion (WML) segmentation is a novel multi-spectral WML segmentation protocol via incorporating information from T1-w, T2-w, PD-w and FLAIR MR brain images. (Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition, Academic Radiology, 15(3):300-313, March 2008).

Proper citation: Hammer And WML Modules for 3D Slicer (RRID:SCR_005980) Copy   

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http://www.nitrc.org/projects/abc

A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.

Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy   

•   Source: SciCrunch Registry

http://www.chictr.org/en/

National clinical trial registry by Ministry of Health of China to join World Health Organization International Clinical Trial Registration Platform (WHO ICTRP Primary Registry), and the approved Primary Registry of WHO ICTRP. It registers both Chinese and global clinical trials, receives data from Partner Registers certified by the WHO ICTRP, and submits data to the WHO ICTRP Central Repository for global search. Moreover, based upon the talent and technical platform, consisting of Chinese Evidence-based Medicine Centre of Ministry of Health of China, Virtual Research Centre of Evidence-Based Medicine of Ministry of Education of China, Chinese Cochrane Centre, UK Cochrane Centre and International Clinical Epidemiology Network Resource and Training Centre in West China Hospital, Sichuan University (INCLEN CERTC), ChiCTR is responsible for providing consultations on trial design, central randomization service, guidance on the writing of clinical trial reports and relevant training. WHO takes the lead in establishing the global clinical trial registration system, which is agreed upon by governments from all over the world. There are both ethical and scientific reasons for clinical trial registration. Trial participants expect that their contributions to biomedical knowledge will be used to improve health care for everyone. Open access to information about ongoing and completed trials meets the ethical duty to trial participants, and promotes greater trust and public confidence in clinical research. Furthermore, trial registration ensures that the results of all trials can be tracked down and should help to reduce unnecessary duplication of research through greater awareness of existing trials and results. The mission of ChiCTR is to Unite clinicians, clinical epidemiologists, biostatisticians, epidemiologists and health care managers both at home and abroad, to manage clinical trials in a strict and scientific manner, and to promote their quality in China, so as to provide reliable evidences from clinical trials for health care workers, consumers and medical policy decision makers, and also to use medical resources more effectively to provide better service for Chinese people and all human beings. Any trial performed in human beings is considered as a clinical trial, and should be registered before its implementation. All the registered clinical trials will be granted a unique registration number by WHO ICTRP.

Proper citation: ChiCTR - Chinese Clinical Trial Registry (RRID:SCR_006037) Copy   

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http://snnap.uth.tmc.edu/

SNNAP (Simulator for Neural Networks and Action Potentials) is a tool for rapid development and simulation of realistic models of single neurons and neural networks. It includes mathematical descriptions of ion currents and intracellular second messengers and ions. In addition, you can simulate current flow in multicompartment models of neurons by using the equations describing electric coupling. SNNAP also includes mathematical descriptions of intracellular second messengers and ions, and simulate the modulation of membrane currents and synaptic transmission, , either enhancement or inhibition. Other advantages of SNNAP include: * Written in JAVA and can run on virtually any type of computer system. * Graphical user interface * Ability to simulate common experimental manipulations. * Modular organizations of input files. Agencies: NCRR, FOSR grant F49620-93-1-0272, as well as NIH grants R01-RR11626 and P01-NS38310

Proper citation: Simulator for Neural Networks and Action Potentials (RRID:SCR_006031) Copy   

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http://riodb.ibase.aist.go.jp/riohomee.html

RIO-DB (Research Information Database) is a multimedia one concerning various research information which is developed and accumulated through many AIST R&D projects. RIO-DB project aims to contribute to the creation and promotion of new businesses from academic society to industrial community by spreading the research information via internet. This is a portal to many database resources in the following categories: * Standard * Chemistry * Earth sciences * Energy * Biology * Material * Information Technology * Safety

Proper citation: RIO-DB - Research Information Database (RRID:SCR_006105) Copy   

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http://athina.biol.uoa.gr/DAM-Bio/

An integrated environment designed to support protein sequence and structure analysis on the web.

Proper citation: DAM-Bio (RRID:SCR_006226) Copy   

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http://bioinformatics.biol.uoa.gr/LepChorionDB/

A relational database of Lepidoptera chorion proteins. The proteinaceous Lepidopteran chorions are used in our lab, as a model system towards unraveling the routes and rules of formation of natural protective amyloids. Therefore, we constructed LepChorionDB a relational database, containing all Lepidoptera chorion proteins identified to date. Lepidoptera chorion proteins can be classified in two major protein families, A and B. This classification was based on multiple sequence alignments of conserved key residues, in the central domain of, well characterized, silkmoth chorion proteins. These alignments were used to build Hidden Markov Models in order to search various DataBases. This work was a collaboration of the Department of Cell Biology and Biophysics, University of Athens and the Centre of Immunology & Transplantation Biomedical Research Foundation, Academy of Athens.

Proper citation: LepChorionDB (RRID:SCR_006222) Copy   

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http://aias.biol.uoa.gr/OMPdb/

A database of Beta-barrel outer membrane proteins from Gram-negative bacteria. The web interface of OMPdb offers the user the ability not only to view the available data, but also to submit advanced queries for text search within the database''s protein entries or run BLAST searches against the database. The most up-to-date version of the database (as well as all past versions) can be downloaded in various formats (flat text, XML format or raw FASTA sequences). For constructing OMPdb, multiple freely accessible resources were combined and a detailed literature search was performed. The classification of OMPdb''s protein entries into families is based mainly on structural and functional criteria. Information included in the database consists of sequence data, as well as annotation for structural characteristics (such as the transmembrane segments), literature references and links to other public databases, features that are unique worldwide. Along with the database, a collection of profile Hidden Markov Models that were shown to be characteristic for Beta-barrel outer membrane proteins was also compiled. This set, when used in combination with our previously developed algorithms (PRED-TMBB, MCMBB and ConBBPRED) will serve as a powerful tool in matters of discrimination and classification of novel Beta-barrel proteins and whole-genome analyses., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: OMPdb (RRID:SCR_006221) Copy   

•   Source: SciCrunch Registry