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http://www.dkfz.de/en/mol_embryology/axeldb.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 21, 2011. Database focusing on gene expression in the frog Xenopus laevis, it is the web companion to the research papers describing a large-scale in situ hybridization screening in Xenopus embryos. The goals of this large-scale in situ screen project are to identify genes by the characterization of their expression pattern, to partially sequence the corresponding cDNAs and to maintain a database collecting the results.

Proper citation: Axel Database (RRID:SCR_001890) Copy   

•   Source: SciCrunch Registry

http://hopkinsneuro.org/research/jhu_nimh/

The Johns Hopkins NIMH Center is comprised of an interdisciplinary research team who has pooled their talents to study the nature of HIV-associated neurocognitive disorders (HAND). Their aim is to translate discoveries of the pathophysiological mechanisms into novel therapeutics for HAND. Objectives * To integrate aspects of ongoing research in HAND and SIV encephalitis * Develop high-throughput and screening assays for identifying novel therapeutic compounds * Use proteomics and lipidomics approaches to indentifying surrogate markers of disease activity * Disseminate information and education about HAND through existing and new educational systems, including the JHU AIDS Education Training Center and the JHU Center for Global Clinical Education * Facilitate the entry of new investigators into Neuro-AIDS research, and to catalyze new areas of research, particularly where relevant for drug discovery or the development of validated surrogate markers

Proper citation: Johns Hopkins NIMH Research Center Novel Therapeutics of HIV-associated Cognitive Disorders (RRID:SCR_001891) Copy   

•   Source: SciCrunch Registry

http://lad.icmb.utexas.edu/index_smd.shtml

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Longhorn Array Database (LAD) is a MIAME compliant microarray database that operates on PostgreSQL and Linux. It is a fully open source version of the Stanford Microarray Database (SMD), one of the largest microarray databases. LAD provides a simple, free, open, reliable and proven solution for storage and analysis of two-color microarray data. It stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, LAD provides interfaces for data retrieval, analysis, and visualization.

Proper citation: Longhorn Array Database (RRID:SCR_001895) Copy   

•   Source: SciCrunch Registry

http://www.nesys.uio.no/Atlas3D/

A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images.

Proper citation: Atlas3D (RRID:SCR_001808) Copy   

•   Source: SciCrunch Registry

http://opencourse.org/Collaboratories/harveyproject/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. It is an international collaboration of educators, researchers, physicians, students, programmers, instructional designers and graphic artists working together to build interactive, dynamic human physiology course materials on the Web. Sponsors: This work has received funding from the US National Science Foundation.

Proper citation: Harvey Project: Open Course Collaboratories (RRID:SCR_001887) Copy   

•   Source: SciCrunch Registry

http://www.hgmd.cf.ac.uk/ac/index.php

It represents an attempt to collate known (published) gene lesions responsible for human inherited disease. More specifically, this database is a comprehensive core collection of germline mutations in nuclear genes that underlie or are associated with human inherited disease. This database, whilst originally established for the study of mutational mechanisms in human genes (Cooper and Krawczak 1993), has now acquired a much broader utility in that it embodies an up-to-date and comprehensive reference source to the spectrum of inherited human gene lesions. Thus, HGMD provides information of practical diagnostic importance to (i) researchers and diagnosticians in human molecular genetics, (ii) physicians interested in a particular inherited condition in a given patient or family, and (iii) genetic counselors. The Human Gene Mutation Database comprises various types of mutation within the coding regions, splicing and regulatory regions of human nuclear genes causing inherited disease. Somatic mutations and mutations in the mitochondrial genome are thus not included, although in the latter case, links to Mitomap are now provided. Each mutation is entered only once in order to avoid confusion between recurrent and identical-by-descent lesions. Mutations inferred from amino acid sequencing have been excluded since, in the absence of direct DNA analysis, some ambiguity may exist as to the DNA sequence changes involved. Silent mutations within the coding region which do not alter the encoded amino acid are also not recorded. If such mutations are known to adversely affect mRNA splicing or gene expression, or have been reported in significant association with disease, they may be included. Sponsors: This Database is supported by Celera, Macmillan, The Genome Database, DFG, BIOS Scientific Publishers, Research Genetics, ScotLab bioscience, MB Biochemicals, Phzer, Sun Life, GFH, Springer, SmithKline Beecham, Hybaid.

Proper citation: HGMD (RRID:SCR_001888) Copy   

•   Source: SciCrunch Registry

http://www.nsgc.org/

Professional society of genetic counselors that promotes networking, continuing education opportunities, advocacy, and discussion of relevant issues in the field of genetics.

Proper citation: National Society of Genetic Counselors (RRID:SCR_001803) Copy   

•   Source: SciCrunch Registry

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

Software that constructs a hierarchy of cells using flow cytometry for maximization of an external variable (e.g., a clinical outcome or a cytokine response).

Proper citation: RchyOptimyx (RRID:SCR_001889) Copy   

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http://www-genome.stanford.edu/

This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University.

Proper citation: Stanford Genomic Resourses (RRID:SCR_001874) Copy   

•   Source: SciCrunch Registry

http://www.biochemweb.org/

This site is provided as a service to scientists, educators, students and others simply interested in the Biological subjects. While many of the resources listed on these pages are designed for scientific professionals, those that require little or no background are labeled as Beginner's Level. Topics include: Angiogenesis, Apoptosis, Carbohydrates, Cell Adhesion & ECM, Cell Cycle, Cell Senescence, Chemical Biology, Cytoskeleton & Motility, Development, Enzymes, Genes, Lipids & Membranes, Metabolism, Microscopy, Organelles, Proteins, Signaling, Structural Biology, Systems Biology Other available categories include: General Resources & Tutorials, Scientific Research Groups, Databases & Tools, Methods, Software, Vendors, Books, Journals, Literature Search, Career & Funding, Organizations & Meetings

Proper citation: BioChemWeb.org - The Virtual Library of Biochemistry Molecular Biology and Cell Biology (RRID:SCR_001912) Copy   

•   Source: SciCrunch Registry

http://www.researchcatalogue.esrc.ac.uk/grants/RES-149-25-1076/outputs/read/159dcb59-55e8-40bc-9e6b-f580dbdcae64

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Obesity e-Lab is a unique, secure environment for producing, sharing, communicating and finding obesity research between epidemiologists, public health researchers and social scientists. Features of e-Lab: - Tools to share: it enables social and biomedical researchers to share data, information and analytical tools for obesity research. First, it will create a portal to provide access to the platform and facilitate social networking. - Navigation tools: Second, it will generate search and navigation tools for researchers in academic, NHS or local government organizations to find data from administrative and secure data services, via social science views of health datasets, and health science views of social datasets. Within the NHS, e-Lab links records from a variety of administrative and health (and social) care sources for broadly-specified obesity research, and make pseudonymised extracts of NHS-linked datasets available via the portal. - Analytical tools: Third, it will develop analytical tools, focused on: i) easy, reliable and privacy-protecting transformation of geo-codes in health records to other geographies and area-based social and economic measures; ii) epidemiological extensions to geographical information systems; iii) growth-standardization of child obesity measures. The tool-building will employ as much existing software as possible, focusing on the provision of simple, intuitive interfaces to proven software to make it easy for social or biomedical researchers to use collaboratively.

Proper citation: National Center for e-Social Science: Obesity e-Lab (RRID:SCR_001796) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/cqn.html

A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.

Proper citation: CQN (RRID:SCR_001786) Copy   

•   Source: SciCrunch Registry

http://www.oege.org/

Portal for researchers to locate information relevant to interpretation and follow-up of human genetic epidemiological discoveries, including: a range of population and case and family genetic epidemiological studies, relevant gene and sequence databases, genetic variation databases, trait measurement, resource labs, journals, software, general information, disease genes and genetic diversity.

Proper citation: Online Encyclopedia for Genetic Epidemiology studies (RRID:SCR_001825) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/src/contrib/Archive/PoissonSeq/

Software package that implements a method for normalization, testing, and false discovery rate estimation for RNA-sequencing data.

Proper citation: PoissonSeq (RRID:SCR_001784) Copy   

•   Source: SciCrunch Registry

http://icahn.mssm.edu/research/resources/shared-resource-facilities/in-vivo-molecular-imaging

The In-Vivo Molecular Imaging Laboratory (IMIL) is a MSSM shared resource facility serving the research community of Mount Sinai with equipment and imaging expertise. State-of-the-art bioluminescent as well as fluorescent imaging modalities are supported for in-vivo monitoring of cellular and genetic activity. Investigators are provided with cutting edge imaging technologies as well as analysis techniques. The long-term goal is to establish a comprehensive SRF for in-vivo molecular imaging using micro-MRI, micro-PET and other modalities. IMIL houses a Xenogen IVIS-200 Series imaging system with the integrated fluorescent imaging options. Simultaneous dual reporter in-vivo imaging is possible with bioluminescence and fluorescence probes. The imaging chamber has a gas anesthesia manifold that can accommodate up to 5 mice for simultaneously image acquisition. Selectable field of views allow in-plane (X,Y) imaging resolutions of up to 60-microm. Integrated spectra filters allow for the determination of signal source depth (Z). IMIL will provide data acquisition services as well as analysis. IMIL has a dedicated imaging technologist for data acquisition. Investigators will bring their prepared animal to the lab and an IMIL imaging technologist will assist in sedating the animals and acquire imaging data. Typical imaging sessions last about an hour. Certified users who are trained in the use of the software will be able to perform their own analysis at the console. Usage of the imaging device is charged by the hour ($100/hour). Structural Imaging The IVIS-200 has the built-in capability of obtaining an image of the surface topography of the animal for 2D and 3D localization. If additional true 3D imaging data is required, micro MRI is available through the Imaging Science Laboratories (ISL). Image Analysis The IVIS-200 has an integrated image acquisition and analysis software (Living Image Software 2.50). Comprehensive data quantification is possible with this software. Raw data as well as analyzed results can be electronically transferred to the investigators. Support is also available for additional image analysis such as intermodality coregistration, 3D rendering, and group statistics. Additional software packages include MedX, SPM, Brainvoyager, Analyze, and in-house developed software.

Proper citation: Mount Sinai School of Medicine: In-Vivo Molecular Imaging Laboratory (RRID:SCR_001785) Copy   

•   Source: SciCrunch Registry

http://meme-suite.org/

Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use.

Proper citation: MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.10/bioc/html/spade.html

An analysis and visualization software tool for high dimensional flow cytometry data that organizes cells into hierarchies of related phenotypes.

Proper citation: SPADE (RRID:SCR_001810) Copy   

•   Source: SciCrunch Registry

http://www.nesys.uio.no/Micro3D/

The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY.

Proper citation: Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) Copy   

•   Source: SciCrunch Registry

http://www.kindai.ac.jp/english/

Private non-sectarian and coeducational university based in Higashiosaka, Osaka, Japan.

Proper citation: Kindai University; Osaka; Japan (RRID:SCR_001814) Copy   

•   Source: SciCrunch Registry

http://sammeth.net/confluence/display/ASTA/2+-+Download

Tool that extracts and displays alternative splicing (AS) events from a given genomic annotation of exon-intron gene coordinates. By comparing all given transcripts, it detects the variations in their splicing structure and identifies all AS events (like exon skipping, alternate donor, etc) by assigning to each of them an AS code. It provides a visual summary of the AS landscape in the analyzed dataset, the possibility to browse the results on the UCSC website or to download them in GTF or ASTA format. You can use AStalavista for any genome by providing your own annotation set, the identifier of your gene(s) of interest, or analyze the AS landscape of reference annotation datasets like Gencode, RefSeq, Ensembl, FlyBase, etc.

Proper citation: AStalavista (RRID:SCR_001815) Copy   

•   Source: SciCrunch Registry