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https://neurograd.ucsd.edu/handbook/prog-requirement/comp-neuro/index.html

The Computational Neuroscience specialization is a new facet of the broader Neuroscience graduate program at UCSD. The goal of the specialization is to train the next generation of neuroscientists with the broad range of computational and analytical skills that are essential to understand the organization and function of complex neural systems. The specialization is intended for students with backgrounds in neuroscience, physics, chemistry, biology, psychology, computer science, engineering, and mathematics. This specialization allows Neuroscience students to concentrate on a focused program of rigorous course work in both the theoretical and experimental aspects of computational neuroscience. Students are encouraged to pursue thesis research that includes both an experimental and a computational component, often arranged by the student as a collaboration between two research groups. The program is focused on these major themes relevant for computational neuroscience research: - Neurobiology of Neural Systems - the anatomy, physiology, and behavior of systems of neurons, with emphasis on basic phenomenology. - Advanced Measurement Tools in Neuroscience - Advanced imaging and recording techniques reflecting the impact of experimental physics on neuroscience. - Algorithms for the Analysis of Neural Data - New algorithms and techniques for analyzing data obtained from physiological recording - Theoretical Basis for Collective Neural Dynamics - A synthesis of approaches from mathematics and physical sciences as well as biology will be used to explore the collective properties and nonlinear dynamics of neuronal systems. Sponsors: This program is supported by the University of California at San Diego.

Proper citation: University of California at San Diego Computational Neuroscience (RRID:SCR_001930) Copy   

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https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html

A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.

Proper citation: flowQB (RRID:SCR_002144) Copy   

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http://amigo.geneontology.org/

Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium.

Proper citation: AmiGO (RRID:SCR_002143) Copy   

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https://ostr.ccr.cancer.gov/resources/provider_details/nci-mouse-repository

The NCI Mouse Repository cryoarchives and distributes strains of genetically engineered mice that are of immediate interest to the cancer research community. These are either gene-targeted or transgenic mice that display a cancer-related phenotype, or tool strains (e.g., cre transgenics) that can be used to develop new cancer models. You do not have to be a member of the NCI Mouse Repository or a recipient of NCI funding to have your mouse model distributed through the NCI Mouse Repository. NCI Mouse Repository strains are maintained as live colonies or cryoarchived as frozen embryos, depending on demand. Up to three breeder pairs may be ordered from live colonies. Cryoarchived strains are supplied as frozen embryos or recovery of live mice by the NCI Mouse Repository may be requested.

Proper citation: NCI Mouse Repository (RRID:SCR_002264) Copy   

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https://www.snpstats.net/

A web-based application designed from a genetic epidemiology point of view to analyze association studies using single nucleotide polymorphisms (SNPs). For each selected SNP, you will receive: * Allele and genotype frequencies * Test for Hardy-Weinberg equilibrium * Analysis of association with a response variable based on linear or logistic regression * Multiple inheritance models: co-dominant, dominant, recessive, over-dominant and additive * Analysis of interactions (gene-gene or gene-environment) If multiple SNPs are selected: * Linkage disequilibrium statistics * Haplotype frequency estimation * Analysis of association of haplotypes with the response * Analysis of interactions (haplotypes-covariate)

Proper citation: SNPSTATS (RRID:SCR_002142) Copy   

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http://compbio.dfci.harvard.edu/tgi/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.The goal of The Gene Index Project is to use the available Expressed Sequence Transcript (EST) and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products. The promise of genome projects has been a complete catalog of genes in a wide range of organisms. While genome projects have been successful in providing reference genome sequences, the problem of finding genes and their variants in genomic sequence remains an ongoing challenge. TGI has created an inventory that contains genes and their variants together with description. In addition, this resource is attempting to use these catalogs to find links between genes and pathways in different species and to provide lists of features within completed genomes that can aid in the understanding of how gene expression is regulated. DATABASES *Eukaryotic Gene Orthologues (formerly known as TOGA - TIGR Orthologous Gene Alignment): Eukaryotic Gene Orthologues (EGO) at DFGI are generated by pair-wise comparison between the Tentative Consensus (TC) sequences that comprise the Dana Farber Gene Indices from individual organisms. The reciprocal pairs of the best match were clustered into individual groups and multiple sequence alignments were displayed for each group. *GeneChip Oncology Database (GCOD):Cancer gene expression database is a collection of publicly available microarray expression data on Affymetrix GeneChip Arrays related to human cancers. Currently only datasets with available raw data (Affymetrix .CEL files) are processed. All processed datasets were subjected to extensive manual curation, uniform processing and consistent quality control. You can browse the experiments in our collection, perform statistical analysis, and download processed data; or to search gene expression profiles using Entrez gene symbol, Unigene ID, or Affymetrix probeset ID. *Gene Indices: As of July 1, 2008, there are 111 publicly available gene indices. They are separated into 4 categories for better organization and easier access. Animal: 41, Plant: 45, Protist: 15, Fungal: 10 *Genomic Maps: Human, mouse, rat, chicken, drosophila melanogaster, zebrafish, mosquito, caenorhabditis elegans, Arabidopsis thaliana, rice, yeast, fission yeast Dana-Farber Cancer Institute (DFCI) Gene Indices Software Tools: *TGI Clustering tools (TGICL): a software system for fast clustering of large EST datasets. *GICL: this package contains the scripts and all the necessary pre-compiled binaries for 32bit Linux systems. *clview: an assembly file viewer. *SeqClean:a script for automated trimming and validation of ESTs or other DNA sequences by screening for various contaminants, low quality and low-complexity sequences. *cdbfasta/cdbyank: fast indexing/retrieval of fasta records from flat file databases. *DAS/XML Genomic Viewer The Genomic viewer borrows modules from http://www.biodas.org (lstein (at) cshl.org) & http://webreference.com.

Proper citation: Gene Index Project (RRID:SCR_002148) Copy   

•   Source: SciCrunch Registry

http://cinteny.cchmc.org/

Online database for finding and analyzing syntenic regions across multiple genomes and measuring the extent of genome rearrangement using reversal distance as a measure.

Proper citation: Cinteny (RRID:SCR_002147) Copy   

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https://www.leica-microsystems.com/products/confocal-microscopes/p/leica-tcs-spe/

High resolution, compact and robust confocal that enables immunohistochemical colocalization analysis of florescent markers. Leica TCS SPE confocal point-scanning, spectral system for fluorescence imaging of live or fixed cells.

Proper citation: Leica: TCS SPE (RRID:SCR_002140) Copy   

•   Source: SciCrunch Registry

https://github.com/TGAC/miso-lims

Open source software for a Laboratory Information Management System (LIMS) for NGS sequencing centres.

Proper citation: miso-lims (RRID:SCR_002259) Copy   

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http://www.uaf.edu/

Public research university in Fairbanks, Alaska that offers degree programs in engineering, liberal arts, fisheries and ocean sciences, and rural and community development.

Proper citation: University of Alaska Fairbanks; Alaska; USA (RRID:SCR_002251) Copy   

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http://www.kindai.ac.jp/english/academics/undergraduate/medicine.html

Medical school division of Kindai University with a resident-centered approach to medicine.

Proper citation: Kindai University School of Medicine; Osaka; Japan (RRID:SCR_002258) Copy   

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http://flymove.uni-muenster.de/

Database combining movies, animated schemata, interactive modules and pictures that will greatly facilitate the understanding of Drosophila development. The resource is aimed at university students and teachers of developmental biology classes. Contribute your own movies, images and illustrations to FlyMove. Illustrating developmental processes using first hand research data will allow students to gain a better understanding of the real organism, and it will allow you to draw their attention to your field of research and to your group. All donors of media integrated in FlyMove will be cited and links to their homepages will be made.

Proper citation: FlyMove (RRID:SCR_002257) Copy   

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http://neuron.duke.edu/cells/download.html

Online platform for visualizing and editing the morphology of neurons. Written in Java.

Proper citation: Cvapp (RRID:SCR_002095) Copy   

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http://www.thevirtualbrain.org/

Simulation software for modeling the entire human brain by combining structural and functional data from empirical neuroimaging data. It can generate local field potentials, EEG, MEG and fMRI BOLD data based on neural mass models. The user can also modify the model parameters to match clinical conditions from focal lesions or degenerative disorders.

Proper citation: Virtual brain (RRID:SCR_002249) Copy   

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

Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more.

Proper citation: VoxBo (RRID:SCR_002166) Copy   

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http://www.cis.rit.edu/htbooks/mri/

An interesting and exhaustive explanation of how the technology works and is applied. It is an online book on principles and practice of magnetic resonance imaging. This educational package requires a hyper text markup language (HTML) 3.0 compatible browser, such as Mozilla Firefox, Microsoft Internet Explorer, or Apple Safari. This type of browser allows the user to view frames. Three frames will be used in this package to simultaneously display text, graphics, and navigation aids. You are reading this in the text window. The graphics window is in the upper left hand corner of your screen. This window will be used to display animations, static figures, references, symbol definitions, and the glossary. The navigation window appears in the lower left corner of the screen and has one line of options. To experience the full potential of the frames, a screen capable of displaying at least 1024 by 768 pixels with 256 colors is recommended. You may be able to gain a few extra pixels in the vertical direction on your monitor by turning off the show toolbar, show location, and show directory buttons under options at the top of your browser. A computer mouse is necessary to access the contents of this package. The mouse allows you to move up and down in a frame by either moving the slider, or holding the mouse button down on the up or down arrows located at the right of the frame.

Proper citation: The Basics of MRI (RRID:SCR_002287) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/flowFit.html

A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.

Proper citation: flowFit (RRID:SCR_002286) Copy   

•   Source: SciCrunch Registry

http://fiji.sc

Software package as distribution of ImageJ and ImageJ2 together with Java, Java3D and plugins organized into coherent menu structure. Used to assist research in life sciences.

Proper citation: Fiji (RRID:SCR_002285) Copy   

•   Source: SciCrunch Registry

http://amedeo.com/

A service created to allow healthcare professionals to access timely, relevant information within their respective fields. Users can subscribe to receive weekly emails with bibliographic lists about new scientific publications, personal web pages for one-time download of available abstracts, and an overview of the medical literature published in relevant journals over the past 12 to 24 months.

Proper citation: AMEDEO: The Medical Literature Guide (RRID:SCR_002284) Copy   

•   Source: SciCrunch Registry

http://www.igakuken.or.jp/english/

Scientific institute in Japan that promotes project-based research, targeted research initiatives for clinically-relevant questions on cancer, and dissemination of information to the research community and public.

Proper citation: Tokyo Metropolitan Institute of Medical Science; Tokyo; Japan (RRID:SCR_002203) Copy   

•   Source: SciCrunch Registry