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http://stke.sciencemag.org/cm/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. This database provides information on the components of cellular signaling pathways and their relations to one another, which are organized into pathways called Connections Maps, which serve as the graphical interface into the database. Access to the database is free. Scientists with expertise in a given field, designated as Pathway Authorities, provide the information. With canonical or general data about cell signaling, as well as specific data about particular signaling processes in specific organisms and cells, there is information for both novices to cell signaling and experts. The Connections Maps are dynamically generated graphical interface to a database of information on the components of cellular signaling pathways and their relations to one another. Information is provided by pathway authorities with expertise in a given field. These Maps provide information on Canonical Pathways -- idealized or generalized pathways that represent common properties of a particular signaling module or pathway. Sponsors: This database is supported by AAAS.

Proper citation: Signal Transduction Knowledge Environment - Database of Cell Signaling (RRID:SCR_001861) Copy   

•   Source: SciCrunch Registry

http://eyelab.biostr.washington.edu/repos/eyelab_repo/

The Image Repository contains a collection of images produced by the research of John Clark's Eye Lab. Experiments include: Irradiated CP49 KO and wildtype, Hypothesis: CP49 KO mice will be more sensitive to X-irradiation than controls Huntington Mice Cataract ID, Hypothesis: Individuals can be identified by the pattern of their cataract. Alpha-Synuclein Mice, Hypothesis: Mice transgenic for the EGFP-tagged, mutant and WT strains of human alpha-synuclein gene, will provide a model for the testing of drugs on aggregation of the protein. alpha B Crystallin/SPARC DKO, Hypothesis: The absence of the chaperone protein, alpha B-Crystallin, causes a greater intensity and earlier onset in the opacifying effects of an absence of the matricellular protein, SPARC. Survey of SPARC KO and WT Survey of SPARC KO and WT Mice The repository is being built through a collaboration between the University of Washington's Department of Biological Structure, led by John Clark, and the Structural Informatics Group, led by Jim Brinkley. As an aim of the Biomedical Information Sciences Technology Initiative (BISTI), members of the Structural Informatics Group have been talking with biomedical researchers to find out their informatics needs. Tools such as this repository are being created in response to those needs. This web tool allows the researchers to add their images to a repository facilitating the organization and management of their data.

Proper citation: The Eye Lab Image Database (RRID:SCR_002038) Copy   

•   Source: SciCrunch Registry

https://www.bgee.org/

Database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently bulk RNA-Seq, scRNA-Seq, Affymetrix, in situ hybridization, and EST data) to anatomy and development of different species. Bgee is based exclusively on curated healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of gene expression.

Proper citation: Bgee: dataBase for Gene Expression Evolution (RRID:SCR_002028) Copy   

•   Source: SciCrunch Registry

https://enigma.lbl.gov/regprecise/

Collection of manually curated inferences of regulons in prokaryotic genomes. Database for capturing, visualization and analysis of transcription factor regulons that were reconstructed by comparative genomic approach in wide variety of prokaryotic genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RegPrecise (RRID:SCR_002149) Copy   

•   Source: SciCrunch Registry

http://eyegene.ophthy.med.umich.edu/madeline/

Software tool designed for preparing, visualizing, and exploring human pedigree data used in genetic linkage studies. It converts pedigree and marker data into formats required by popular linkage analysis packages, provides powerful ways to query pedigree data sets, and produces Postscript pedigree drawings that are useful for rapid data review.

Proper citation: MADELINE (RRID:SCR_001979) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/Resources/record/nlx_144509-1/f2172664-1499-555d-9e84-3b7768695e4d/search?q=integrated&l=integrated

Virtual database of individual data sources, maintained by SciCrunch participating groups. Database topics are varied, including animals, grants, software, brain gene expression, and clinical trials.

Proper citation: Integrated (RRID:SCR_002187) Copy   

•   Source: SciCrunch Registry

http://giladlab.uchicago.edu/orthoExon/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of orthologous exon regions in the genomes of human, chimpanzee, and rhesus macaque. It can be used in analysis of multi-species RNA-seq expression data, allowing for comparisons of exon-level expression across primates, as well as comparative examination of alternative splicing and transcript isoforms.

Proper citation: Primate Orthologous Exon Database (RRID:SCR_002065) Copy   

•   Source: SciCrunch Registry

http://atgc.lbl.gov/atgc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. ATGC stands for Alignable Tight Genomic Cluster, which is cluster of closely related prokaryotic genomes. ATGC is the principal notion of this web resource. The purpose of this web resource is to prepare ATGC-derived data sets for a variety of research projects in functional and evolutionary genomics. Unique features of ATGC include: * Reliable identification of orthologs (high degree of similarity between the genomes in the set allow an extensive use of synteny in ortholog identification); * Fine granularity of protein classification (in comparisons of more distant genomes, proteins belonging to families of paralogs are often lumped into a singlegroup; under the ATGC approach, comparison of genomic sequences from highly similar genomes allows one to track each set of orthologs separately); * Relative rarity of changes of any kind (in sequence, genome organization and gene content) allows the use of parsimony-related methods of analysis.

Proper citation: Alignable Tight Genomic Cluster (RRID:SCR_001894) Copy   

•   Source: SciCrunch Registry

http://www.arabidopsisreactome.org

Curated database of core pathways and reactions in plant biology that covers biological pathways ranging from the basic processes of metabolism to high-level processes such as cell cycle regulation. While it is targeted at Arabidopsis pathways, it also includes many biological events from other plant species. This makes the database relevant to the large number of researchers who work on other plants. Arabidopsis Reactome currently contains both in-house curated pathways as well as imported pathways from AraCyc and KEGG databases. All the curated information is backed up by its provenance: either a literature citation or an electronic inference based on sequence similarity. Their ontology ensures that the various events are linked in an appropriate spatial and temporal context.

Proper citation: Arabidopsis Reactome (RRID:SCR_002063) Copy   

•   Source: SciCrunch Registry

http://ibvd.virtualbrain.org/

A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group.

Proper citation: Internet Brain Volume Database (RRID:SCR_002060) Copy   

•   Source: SciCrunch Registry

http://www.earthchem.org/seddb

Geochemical database for marine and terrestrial sediments primarily from the published literature containing a full range of analytical values for sediment samples, primarily from marine sediment cores. It includes major and trace element concentrations, radiogenic and stable isotope ratios, and data for a plethora of materials such as organic and inorganic components, leachates, and size fractions. SedDB also archives a vast array of metadata relating to the individual sample.

Proper citation: SedDB (RRID:SCR_002210) Copy   

•   Source: SciCrunch Registry

http://www.epmba.org/

The Electronic Prenatal Mouse Brain Atlas, EPMBA, at present consists of two sets of annotated images of coronal sections from Gestational Day (GD) 12 heads and GD 16 brains of C57BL/6J mice. Ten micron thick sections were stained with hematoxylin and eosin. Images were prepared at various resolutions for annotations and for high resolution presentation. A subset of sections were annotated and linked to anatomical terms. Additionally, horizontal sections of a GD 12 head were aligned and re-assembled into a 3D volume for digital sectioning in arbitrarily oblique planes. These images were captured using a Nikon E800 stereomicroscope with a 10X objective. The resolution is 1.35 pixels/micrometer. The PC program used to grab the images, Microbrightfield's Neurolucida (version 6), stitched together a mosaic of between 10 and 50 high-res images for each tissue slice, while the user focused the scope for each mosaic tile. Since the nature of optic lenses is to focus on one central point, it was difficult to obtain a uniformly-focused field of vision; as such, small areas of these images are blurred. Images were then transferred to a Macintosh and processed in Adobe Photoshop (version 7). Color levels were adjusted for maximum clarity of the tissue, and areas surrounding the tissue were cleared of artifacts. Each image is approximately 3350 pixels wide by 2650 pixels high. A scale bar with a length of 1350 pixels/mm is visible in the lower right-hand corner of each image. The annotations have been completed for the Atlas of Developing Mouse Brain Gestational (Embryonic) Day 12 (7/5/07) as well as the Atlas of Developing Mouse Brain Embryonic Day 16 (4/26/07). The 3D EPMBA data set has been mounted on a NeuroTerrain Atlas Server (NtAS). (6/27/07).

Proper citation: EPMBA.ORG: Electronic Prenatal Mouse Brain Atlas (RRID:SCR_001882) Copy   

•   Source: SciCrunch Registry

http://www.earthchem.org/petdb

Accepts and provides access to geochemical and petrological data for ocean floor igneous and metamorphic rocks, (whole rock, volcanic, glass, mineral, and melt inclusion analyses), and mantle and lower-crustal xenolith samples. Data are compiled primarily from the published literature. Authors are encouraged to submit their datasets and databases to EarthChem.

Proper citation: PetDB (RRID:SCR_002209) Copy   

•   Source: SciCrunch Registry

https://interferome.org/interferome/search/showSearch.jspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 28,2022. InterPare is a database server for protein interaction interface information. It contains large-scale interface data of proteins whose 3D-structures are known. Protein interface information is derived from three different methods. InterPare introduces a large-scale protein domain interaction interface database called InterPare. InterPare uses three methods: 1) the Euclidean distance method for checking the distance among subunits in multidomain proteins, 2) Accessible Surface Area (ASA) for detecting the buried region of a protein that is detached from a solvent when forming multimers or complexes, 3) the Voronoi diagram, a computational geometry method, that uses a mathematical definition of interface regions. InterPare includes tools with different display modes for viewing protein interior, surface, and interaction interfaces.

Proper citation: The Protein Interfaceome Database (RRID:SCR_002126) Copy   

•   Source: SciCrunch Registry

http://neuronbank.org/wiki

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. Platform for Neuroscientists to describe neurons and neural circuitry. Registered users may edit. The ultimate goal is advance the field of Neuromics by creating an encyclopedia of neurons and neural circuitry. NOTE: The database is no longer being maintained due to lack of funding.

Proper citation: NeuronBank (RRID:SCR_002004) Copy   

•   Source: SciCrunch Registry

http://rulai.cshl.edu/LSPD/

LSPD provides liver specific gene. It lists ~300 promoter regions responsible for liver specific transcriptions, collect ~400 experimentally verified regulatory regions and elements, provide information on transcription regulation of liver genes, compare transcription regulation of functionally or evolutionarily related genes, and retrieve sequences of the promoter region. Its regulatory elements provides information on transcription regulatory elements, reports the methods for verification of the elements, records binding affinity and regulatory function, and summarizes the site distribution and sequence consensus.

Proper citation: LSPD (RRID:SCR_002125) Copy   

•   Source: SciCrunch Registry

http://tpdb.medchem.ku.edu:8080/protein_database/index.jsp

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 29,2022. This database is an attempt to catalog in a convenient, searchable fashion the publicly available information about the identities of mammalian proteins that become covalently adducted by chemically-reactive metabolites of xenobiotic agents. At present all entries pertain to well-identified proteins that become adducted following defined exposures to known chemical agents in vivo or in cell culture experiments. Results from studies using enzymatic or chemical model systems have not been included but may be in the future. The search functions are relatively simple and intuitive, so most users can go straight to the Search page and begin searching. Additional explanations, examples and information about possible future expansions may be found.

Proper citation: Target Protein Database (RRID:SCR_002124) Copy   

•   Source: SciCrunch Registry

http://genome.jouy.inra.fr/spid/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. An online database of two-hybrid protein interactions in B. Subtilis. Interactions stored in SPID are either characterized by experimental evidence or by bibliographic references. A graphical user interface is provided to explore interaction networks as well as to view the details of each piece of evidence. The database contains 112 interactions between 79 proteins.

Proper citation: Subtilis Protein interaction Database (RRID:SCR_002123) Copy   

•   Source: SciCrunch Registry

http://www.pubgene.org/

It helps users retrieve information on genes and proteins. The underlying structure of PubGene can be viewed as a gene-centric database. Gene and protein names are cross-referenced to each other and to terms that are relevant to understanding their biological function, importance in disease and relationship to chemical substances. The result is a literature network organizing information in a form that is easy to navigate.

Proper citation: PubGene (RRID:SCR_002119) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/friaptamerstream/

The Aptamer Database is a comprehensive, annotated repository for information about aptamers and in vitro selection. This resource is provided to collect, organize and distribute all the known information regarding aptamer selection. Aptamers are DNA or RNA molecules that have been selected from random pools based on their ability to bind other molecules. Aptamers have been selected which bind nucleic acid, proteins, small organic compounds, and even entire organisms.

Proper citation: Aptamer Database - The Ellington Lab (RRID:SCR_001781) Copy   

•   Source: SciCrunch Registry