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http://national_databank.mclean.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. A publicly accessible data repository to provide neuroscience investigators with secure access to cohort collections. The Databank collects and disseminates gene expression data from microarray experiments on brain tissue samples, along with diagnostic results from postmortem studies of neurological and psychiatric disorders. All of the data that is derived from studies of the HBTRC collection is being incorporated into the National Brain Databank. This data is available to the general public, although strict precautions are undertaken to maintain the confidentiality of the brain donors and their family members. The system is designed to incorporate MIAME and MAGE-ML based microarray data sharing standards. Data from various types of studies conducted on brain tissue in the HBTRC collection will be available from studies using different technologies, such as gene expression profiling, quantitative RT-PCR, situ hybridization, and immunocytochemistry and will have the potential for providing powerful insights into the subregional and cellular distribution of genes and/or proteins in different brain regions and eventually in specific subregions and cellular subtypes.

Proper citation: National Brain Databank (RRID:SCR_003606) Copy   

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http://www.nimh.nih.gov/educational-resources/index.shtml

A portal to educational resources.

Proper citation: NIMH Educational Resources (RRID:SCR_004045) Copy   

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http://www.abc.net.au/rn/allinthemind/default.htm

Radio National''s weekly foray into all things mental a program (podcast) about the mind, brain and behavior, hosted by Lynne Malcolm (previously by Natasha Mitchell). From dreaming to depression, addiction to artificial intelligence, consciousness to coma, psychoanalysis to psychopathy, free will to forgetting ��All in the Mind��explores the human condition through the mind''s eye. All in the Mind brings together unexpected voices, themes and ideas and engages with both leading thinkers and personal stories. Psychology and human behavior are only part of the equation. The program''s scope is considerably broader and explores themes in science, religion, health, philosophy, education, history and pop culture, with the mind as the key focus.

Proper citation: All In The Mind (RRID:SCR_004240) Copy   

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http://openconnectomeproject.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. Connectomes repository to facilitate the analysis of connectome data by providing a unified front for connectomics research. With a focus on Electron Microscopy (EM) data and various forms of Magnetic Resonance (MR) data, the project aims to make state-of-the-art neuroscience open to anybody with computer access, regardless of knowledge, training, background, etc. Open science means open to view, play, analyze, contribute, anything. Access to high resolution neuroanatomical images that can be used to explore connectomes and programmatic access to this data for human and machine annotation are provided, with a long-term goal of reconstructing the neural circuits comprising an entire brain. This project aims to bring the most state-of-the-art scientific data in the world to the hands of anybody with internet access, so collectively, we can begin to unravel connectomes. Services: * Data Hosting - Their Bruster (brain-cluster) is large enough to store nearly any modern connectome data set. Contact them to make your data available to others for any purpose, including gaining access to state-of-the-art analysis and machine vision pipelines. * Web Viewing - Collaborative Annotation Toolkit for Massive Amounts of Image Data (CATMAID) is designed to navigate, share and collaboratively annotate massive image data sets of biological specimens. The interface is inspired by Google Maps, enhanced to allow the exploration of 3D image data. View the fork of the code or go directly to view the data. * Volume Cutout Service - RESTful API that enables you to select any arbitrary volume of the 3d database (3ddb), and receive a link to download an HDF5 file (for matlab, C, C++, or C#) or a NumPy pickle (for python). Use some other programming language? Just let them know. * Annotation Database - Spatially co-registered volumetric annotations are compactly stored for efficient queries such as: find all synapses, or which neurons synapse onto this one. Create your own annotations or browse others. *Sample Downloads - In addition to being able to select arbitrary downloads from the datasets, they have also collected a few choice volumes of interest. * Volume Viewer - A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels. The code and program can be downloaded. * Machine Vision Pipeline - They are building a machine vision pipeline that pulls volumes from the 3ddb and outputs neural circuits. - a work in progress. As soon as we have a stable version, it will be released. * Mr. Cap - The Magnetic Resonance Connectome Automated Pipeline (Mr. Cap) is built on JIST/MIPAV for high-throughput estimation of connectomes from diffusion and structural imaging data. * Graph Invariant Computation - Upload your graphs or streamlines, and download some invariants. * iPad App - WholeSlide is an iPad app that accesses utilizes our open data and API to serve images on the go.

Proper citation: Open Connectome Project (RRID:SCR_004232) Copy   

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http://www.alzforum.org/

A community building portal dedicated to understanding Alzheimer's disease and related disorders, it reports on the latest scientific findings from basic research to clinical trials, creates and maintains public databases of essential research data and reagents, and produces discussion forums to promote debate, speed the dissemination of new ideas, and break down barriers across disciplines.

Proper citation: Alzheimer's Research Forum (RRID:SCR_006416) Copy   

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http://www.callisto-science.org/NSI/Neuroscience_Image_Database/Images%20of%20the%20Human%20Nervous%20System%20-%20Disease%20&%20Injury.html

A collection of images of the human nervous system focusing on disease and injury.

Proper citation: Human Nervous System Disease and Injury (RRID:SCR_006370) Copy   

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http://www.adaa.org/

The Anxiety Disorders Association of America (ADAA) is a national nonprofit organization dedicated to the prevention, treatment, and cure of anxiety disorders and to improving the lives of all people who suffer from them. It is the leader in education, training, and research for anxiety and stress-related disorders. ADAA leads the way, improving the lives of millions of people: * Promotes professional and public awareness of anxiety and related disorders and their impact on people''s lives. * Encourages the advancement of scientific knowledge about causes and treatment of anxiety and related disorders. * Links people who need treatment with the health care professionals who provide it. * Helps people find appropriate treatment and develop self-help skills. * Works to reduce the stigma surrounding anxiety and related disorders. ADAA was founded in 1980 as the Phobia Society of America by a diverse group of clinicians and patients. The term anxiety disorder had not yet been coined. Most anxiety disorders were simply called phobias. That changed as researchers discovered links between panic attacks and abnormal blood flow in the brain, learned that anxiety disorders are associated with pervasive social and health consequences, and discovered and tested various therapies and medications to treat anxiety disorders. ADAA adopted its new name in 1990 to reflect the changing and growing field. Over the years ADAA has launched several national educational campaigns to promote awareness about anxiety disorders and encourage people to seek treatment. ADAA has also funded more than $1.5 million in anxiety disorder research. Today ADAA continues to be the voice for those affected by anxiety and anxiety-related disorders. The organization is frequently cited by the media and also provides information and treatment referrals to tens of thousands each year by phone, e-mail, and through this website.

Proper citation: Anxiety Disorders Association of America (RRID:SCR_006578) Copy   

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http://www.commondataelements.ninds.nih.gov

The purpose of the NINDS Common Data Elements (CDEs) Project is to standardize the collection of investigational data in order to facilitate comparison of results across studies and more effectively aggregate information into significant metadata results. The goal of the National Institute of Neurological Disorders and Stroke (NINDS) CDE Project specifically is to develop data standards for clinical research within the neurological community. Central to this Project is the creation of common definitions and data sets so that information (data) is consistently captured and recorded across studies. To harmonize data collected from clinical studies, the NINDS Office of Clinical Research is spearheading the effort to develop CDEs in neuroscience. This Web site outlines these data standards and provides accompanying tools to help investigators and research teams collect and record standardized clinical data. The Institute still encourages creativity and uniqueness by allowing investigators to independently identify and add their own critical variables. The CDEs have been identified through review of the documentation of numerous studies funded by NINDS, review of the literature and regulatory requirements, and review of other Institute''s common data efforts. Other data standards such as those of the Clinical Data Interchange Standards Consortium (CDISC), the Clinical Data Acquisition Standards Harmonization (CDASH) Initiative, ClinicalTrials.gov, the NINDS Genetics Repository, and the NIH Roadmap efforts have also been followed to ensure that the NINDS CDEs are comprehensive and as compatible as possible with those standards. CDEs now available: * General (CDEs that cross diseases) Updated Feb. 2011! * Congenital Muscular Dystrophy * Epilepsy (Updated Sept 2011) * Friedreich''s Ataxia * Parkinson''s Disease * Spinal Cord Injury * Stroke * Traumatic Brain Injury CDEs in development: * Amyotrophic Lateral Sclerosis (Public review Sept 15 through Nov 15) * Frontotemporal Dementia * Headache * Huntington''s Disease * Multiple Sclerosis * Neuromuscular Diseases ** Adult and pediatric working groups are being finalized and these groups will focus on: Duchenne Muscular Dystrophy, Facioscapulohumeral Muscular Dystrophy, Myasthenia Gravis, Myotonic Dystrophy, and Spinal Muscular Atrophy The following tools are available through this portal: * CDE Catalog - includes the universe of all CDEs. Users are able to search the full universe to isolate a subset of the CDEs (e.g., all stroke-specific CDEs, all pediatric epilepsy CDEs, etc.) and download details about those CDEs. * CRF Library - (a.k.a., Library of Case Report Form Modules and Guidelines) contains all the CRF Modules that have been created through the NINDS CDE Project as well as various guideline documents. Users are able to search the library to find CRF Modules and Guidelines of interest. * Form Builder - enables users to start the process of assembling a CRF or form by allowing them to choose the CDEs they would like to include on the form. This tool is intended to assist data managers and database developers to create data dictionaries for their study forms.

Proper citation: NINDS Common Data Elements (RRID:SCR_006577) Copy   

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https://www.iedb.org/

Repository contains antibody/B cell and T cell epitope information and epitope prediction and analysis tools. Immune epitopes are defined as molecular structures recognized by specific antigen receptors of the immune system, namely antibodies, B cell receptors, and T cell receptors. Immune epitopes from infectious diseases, excluding HIV, and immune-mediated diseases and the accompanying biological information are included.

Proper citation: Immune Epitope Database and Analysis Resource (IEDB) (RRID:SCR_006604) Copy   

•   Source: SciCrunch Registry

https://www.fludb.org/brc/home.spg?decorator=influenza

The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data.

Proper citation: Influenza Research Database (IRD) (RRID:SCR_006641) Copy   

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http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/

Consortium that puts sequences into a chromosome context and provides the best possible reference assembly for human, mouse, and zebrafish via FTP. Tools to facilitate the curation of genome assemblies based on the sequence overlaps of long, high quality sequences.

Proper citation: Genome Reference Consortium (RRID:SCR_006553) Copy   

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http://scicrunch.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019.

Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines)

Proper citation: HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) Copy   

•   Source: SciCrunch Registry

http://neuroade.christakou.org/

At neuroade, a Cognitive Neuroscience Laboratory, we study change in brain and behavior across multiple time-scales. Researchers in the lab combine a variety of methodologies to answer specific questions about typical and atypical behavior and development. We use functional magnetic resonance imaging (fMRI), peripheral psychophysiology (such as skin conductance responses), behavioral testing, genotyping analysis, and computational modeling. Most of our work takes place at the Centre for Integrative Neuroscience and Neurodynamics (CINN), and we all live in the Department of Psychology at the University of Reading. Our research is divided into several distinct yet highly interlinked themes, all converging in their application to understanding psychopathology -- summarised here in no particular order: * Decision-making and the Evaluation of Decision Outcomes * Dimensions of Impulsivity as a Foraging Strategy * Adolescent Development * Computational Modeling Probes of Individual Differences

Proper citation: neuroade (RRID:SCR_006758) Copy   

•   Source: SciCrunch Registry

http://www.aids.gov/podcast/podcast-gallery/

Podcasts from AIDS.gov, featuring information from the Federal government about HIV/AIDS prevention, testing, research, treatment, and using new media in response to HIV/AIDS. Categories include: Basic HIV information, New Media, Federal Programs and Policies, HIV/AIDS Awareness Days, and Real Stories.

Proper citation: AIDS.gov Podcast (RRID:SCR_006750) Copy   

•   Source: SciCrunch Registry

http://www.pbtc.org/

The PEDIATRIC BRAIN TUMOR CONSORTIUM (PBTC) is a multidisciplinary cooperative research organization devoted to the study of correlative tumor biology and new therapies for primary CNS tumors of childhood. PBTC's mission is to contribute rapidly and effectively to the understanding and cure of these tumors through the conduct of multi-center, multidisciplinary, innovative studies with designs and analyses based on uniformly high quality statistical science. While the primary mission of the PBTC is to identify through laboratory and clinical science superior treatment strategies for children with brain cancers, the PBTC investigators recognize their profound responsibility to meet the special needs of the children and families as they face this enormous challenge. Members are committed to working within their institutions and communities to improve support services and follow up care for these patients and their families. The PBTC's primary objective is to rapidly conduct novel phase I and II clinical evaluations of new therapeutic drugs, new biological therapies, treatment delivery technologies and radiation treatment strategies in children from infancy to 21 years of age with primary central nervous system (CNS) tumors. A second objective is to characterize reliable markers and predictors (direct or surrogate) of brain tumors' responses to new therapies. The Consortium conducts research on brain tumor specimens in the laboratory to further understand the biology of pediatric brain tumors. A third objective is to develop and coordinate innovative neuro-imaging techniques. Through the PBTC's Neuro-Imaging Center, formed in May 2000, research to evaluate new treatment response criteria and neuro-imaging methods to understand regional brain effects is in progress. These imaging techniques can also advance understanding of significant neuro-toxicity in a developing child's central nervous system. The Neuro-Imaging Center is supported in part by private sources - grants from foundations and non-profit organizations - in addition to the NCI. As an NCI funded Consortium, the Pediatric Brain Tumor Consortium (PBTC) is required to make research data available to other investigators for use in research projects. An investigator who wishes to use individual patient data from one or more of the Consortium's completed and published studies must submit in writing a description of the research project, the PBTC studies from which data are requested, the specific data requested, and a list of investigators involved with the project and their affiliated research institutions. A copy of the requesting investigator's CV must also be provided. Participating Institutions: Children's Hospital of Philadelphia, Children's National Medical Center (Washington, DC), Children's Memorial Hospital (Chicago), Duke University, National Cancer Institute, St. Jude Children's Research Hospital, Texas Children's Cancer Center, University of California at San Francisco, and University of Pittsburgh.

Proper citation: Pediatric Brain Tumor Consortium (RRID:SCR_000658) Copy   

•   Source: SciCrunch Registry

http://cvrl.ioo.ucl.ac.uk/index.htm

The Colour & Vision Research laboratory and database are based at the Institute of Ophthalmology, which is part of University College London. The Institute and CVRL are both closely associated with Moorfields Eye Hospital. The Institute is next door to Moorfields Eye Hospital near Old Street tube station (see directions). At the Colour & Vision Research laboratory, we investigate normal and clinical human visual perception. Our research focuses on questions about colour perception, light and dark adaptation, night-time vision, and the temporal and spatial properties of vision. Our primary goal is to understand the nature of the mechanisms that underlie visual perception, and to understand how those mechanism malfunction in clinical cases. More details about our research can be found by looking at the publications of members of the laboratory. The CVRL database, first set up in 1995, provides an annotated library of downloadable standard data sets relevant to colour and vision research. The focus of this site is primarily scientific and technical, but some introductory background information is also provided. A consistent set of functions for modeling colour vision based on the Stockman & Sharpe cone fundamentals and on our more recent luminous efficiency measurements are summarized under the category CVRL functions. These functions are tabulated in 0.1, 1 and 5 nm steps and can be returned as csv, xml, or tabular data or as dynamic plots. The Stockman & Sharpe cone fundamentals are the basis of a CIE proposal for physiologically-relevant colour matching functions. These functions, which are indentical to the CVRL functions, are summarized under the category CIE 2007 functions. The CIE functions are also tabulated in 0.1, 1 and 5 nm steps, and can also be returned as csv, xml, or tabular data or as dynamic plots. Significant additions to the database are the individual colour matching measurements made by Stiles & Burch. These have been compiled and cross-checked with the help of Boris Oicherman, Alexander Logvinenko, and Abhijit Sarkar from hard copies of the original data provided by Pat Trezona and Mike Webster. They can be obtained as Excel files and are available for both 2 and 10 colour matches. Other data sets, which are provided as csv files, include cone fundamentals, colour matching functions, chromaticity coordinates, prereceptoral filter density spectra, photopigment spectra, and CIE standards. Many of these data sets can also be viewed as dynamic plots. Sponsors: CVRL is funded by BBSRC The Wellcome Trust, Fight for Sight, National Eye Institute, and NIH.

Proper citation: Colour and Vision Research Laboratory (RRID:SCR_000770) Copy   

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http://www.yandell-lab.org/software/index.html

Sequenced genomes contain a treasure trove of information about how genes function and evolve. Getting at this information, however, is challenging and requires novel approaches that combine computer science and experimental molecular biology. My lab works at the intersection of both domains, and research in our group can be summarized as follows: generate hypotheses concerning gene function and evolution by computational means, and then test these hypotheses at the bench. This is easier said than done, as serious barriers still exist to using sequenced genomes and their annotations as starting points for experimental work. Some of these barriers lie in the computational domain, others in the experimental. Though challenging, overcoming these barriers offers exciting training opportunities in both computer science and molecular genetics, especially for those seeking a future at the intersection of both fields. Ongoing projects in the lab are centered on genome annotation and comparative genomics; exploring the relationships between sequence variation and human disease; and high-throughput biological image analysis. Current software tools available: VAAST (the Variant Annotation, Analysis & Search Tool) is a probabilistic search tool for identifying damaged genes and their disease-causing variants in personal genome sequences. VAAST builds upon existing amino acid substitution (AAS) and aggregative approaches to variant prioritization, combining elements of both into a single unified likelihood-framework that allows users to identify damaged genes and deleterious variants with greater accuracy, and in an easy-to-use fashion. VAAST can score both coding and non-coding variants, evaluating the cumulative impact of both types of variants simultaneously. VAAST can identify rare variants causing rare genetic diseases, and it can also use both rare and common variants to identify genes responsible for common diseases. VAAST thus has a much greater scope of use than any existing methodology. MAKER 2 (updated 01-16-2012) MAKER is a portable and easily configurable genome annotation pipeline. It's purpose is to allow smaller eukaryotic and prokaryotic genomeprojects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence-based quality values. MAKER is also easily trainable: outputs of preliminary runs can be used to automatically retrain its gene prediction algorithm, producing higher quality gene-models on seusequent runs. MAKER's inputs are minimal and its ouputs can be directly loaded into a GMOD database. They can also be viewed in the Apollo genome browser; this feature of MAKER provides an easy means to annotate, view and edit individual contigs and BACs without the overhead of a database. MAKER should prove especially useful for emerging model organism projects with minimal bioinformatics expertise and computer resources. RepeatRunner RepeatRunner is a CGL-based program that integrates RepeatMasker with BLASTX to provide a comprehensive means of identifying repetitive elements. Because RepeatMasker identifies repeats by means of similarity to a nucleotide library of known repeats, it often fails to identify highly divergent repeats and divergent portions of repeats, especially near repeat edges. To remedy this problem, RepeatRunner uses BLASTX to search a database of repeat encoded proteins (reverse transcriptases, gag, env, etc...). Because protein homologies can be detected across larger phylogenetic distances than nucleotide similarities, this BLASTX search allows RepeatRunner to identify divergent protein coding portions of retro-elements and retro-viruses not detected by RepeatMasker. RepeatRunner merges its BLASTX and RepeatMasker results to produce a single, comprehensive XML-based output. It also masks the input sequence appropriately. In practice RepeatRunner has been shown to greatly improve the efficacy of repeat identifcation. RepeatRunner can also be used in conjunction with PILER-DF - a program designed to identify novel repeats - and RepeatMasker to produce a comprehensive system for repeat identification, characterization, and masking in the newly sequenced genomes. CGL CGL is a software library designed to facilitate the use of genome annotations as substrates for computation and experimentation; we call it CGL, an acronym for Comparitive Genomics Library, and pronounce it Seagull. The purpose of CGL is to provide an informatics infrastructure for a laboratory, department, or research institute engaged in the large-scale analysis of genomes and their annotations.

Proper citation: Yandell Lab Portal (RRID:SCR_000807) Copy   

•   Source: SciCrunch Registry

http://fantom.gsc.riken.jp/

International collaborative research project and database of annotated mammalian genome. Used to improve estimates of total number of genes and their alternative transcript isoforms in both human and mouse. Consortium to assign functional annotations to full length cDNAs that were collected during Mouse Encyclopedia Project at RIKEN.

Proper citation: Functional Annotation of the Mammalian Genome (RRID:SCR_000788) Copy   

•   Source: SciCrunch Registry

http://phm.utoronto.ca/~jeffh/neuromouse.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 17, 2023.Toolbook(tm) based, interactive graphical database which provides structural, molecular, and genetic information on the adult murine nervous system; and its relevance to human neurobiology. This resource is primarily designed as a platform for users to interact, each sharing knowledge on their own area of expertise, which is compiled to a master database. This hypertext atlas presently comprises more than 1000 pages and is designed to provide a flexible integrated resource for the description and discussion of all forms mammalian neurologic data. Version 4.0 of the NeuroMouse program extends the program's basic framework to include a number of areas in modern molecular neurobiology. This system provides an integrated resource for the characterization and description of mammalian neurological data. Major divisions include: Neural Atlas, Molecular Atlas, Genetics/Surgical Lesion Atlas. Neuromouse has been integrated into our strain-specific three dimensional MRI and surgical atlases of the murine CNS. Database contents: Neural Atlas: - Rotational representation of the murine brain. - Neural structures: visual and alphabetic point and click index of neural structures, pathways and systems. - Brain atlas:photographic serial sections in the coronal, sagittal, and horizontal planes (average plate distance - 300 um). Physical brain distances are also provided as are meta-index grids to allow rapid movement between different planes and regions. # Catalog of primary and immortalized neural cells indexed to relevant neural structures. Molecular Atlas: - Index of neurotransmitters: Acetylcholine, GABA, Glutamate, Aspartate, Glycine, Dopamine, Norepinephrine, Epinephrine, Serotonin (synthesis, distribution, degradation, molecular modules, receptors, subunits, agonists, antagonists, gene structure, localization, physical properties and transgenics are indicated for each item). - Index of neurotrophins / neurokines: NGF, BDNF, NT-3, NT-4/5, CNTF, LIF, Onostain M, IL-6, GDNF, FGF's, S100b (ligand, receptors, expression pattern, physical properties, homologous factors, transgenics/knockouts, chromosomal location, effects of agent, and effects of factors on agent are indicated for each item). - Index of additional neural agents: Bcl-2, TNF/Fas, TGF-beta, P53/Rb, PDGF, EGF family (ligand, receptor, expression patterns, physical properties, homologous factors, transgenics/ knockouts, chromosomal location, effects of agent, effects of factors on agent are indicated for each item). - Molecular biology: Molecular biology of important neural genes with integrated l links, plus selected neural topics (ex. programmed cell death, inducible gene systems, protein motifs, neural gene elements, and selected signal transduction pathways). Genetics Atlas: - Lesion paradigms: Index of common neuronal structural and chemical lesion paradigms. - Selected procedures: description of common neurosurgical, cell tracing, culturing and laboratory procedures. - Neurologic syndromes: Index of important human neurologic syndromes and appropriate animals models. - Neural mutant database: Index and description of naturally occurring and genetically modified murine neurologic mutations; including pages on double knockout animals. Interactive maps of each murine chromosome and human syntenic maps.

Proper citation: NeuroMouse Database (RRID:SCR_001143) Copy   

•   Source: SciCrunch Registry

http://surfer.nmr.mgh.harvard.edu/

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

Proper citation: FreeSurfer (RRID:SCR_001847) Copy   

•   Source: SciCrunch Registry