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http://senselab.med.yale.edu/ordb/

Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors.

Proper citation: Olfactory Receptor DataBase (RRID:SCR_007830) Copy   

•   Source: SciCrunch Registry

http://www.cellml.org/models

Repository of biological models created using CellML, a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. Models may be browsed by category, which include: Calcium Dynamics, Cardiovascular Circulation, Cell Cycle, Cell Migration, Circadian Rhythms, Electrophysiology, Endocrine, Excitation-Contraction Coupling, Gene Regulation, Hepatology, Immunology, Ion Transport, Mechanical Constitutive Laws, Metabolism, Myofilament Mechanics, Neurobiology, pH Regulation, PKPD, Signal Transduction, Synthetic Biology. The community can contribute their models to this resource.

Proper citation: CellML Model Repository (RRID:SCR_008113) Copy   

•   Source: SciCrunch Registry

http://www.biocompare.com/

A web catalog of over 1M antibodies from hundreds of different companies and other research supplies. Biocompare has made large quantities of data available to the antibodyregistry.org facilitating tagging important research reagents to literature and continues to work with the antibodyregistry.

Proper citation: Biocompare (RRID:SCR_008336) Copy   

•   Source: SciCrunch Registry

http://brain-development.org/ixi-dataset/

Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system

Proper citation: IXI dataset (RRID:SCR_005839) Copy   

•   Source: SciCrunch Registry

http://www.human-phenotype-ontology.org/

Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. Structured and controlled vocabulary for phenotypic features encountered in human hereditary and other disease. HPO is being developed in collaboration with members of OBO Foundry (Open Biological and Biomedical Ontologies), and logical definitions for HPO terms are being developed using PATO and a number of other ontologies including FMA, GO, ChEBI, and MPATH.

Proper citation: Human Phenotype Ontology (RRID:SCR_006016) Copy   

•   Source: SciCrunch Registry

http://antibodyregistry.org/

Public registry of antibodies with unique identifiers for commercial and non-commercial antibody reagents to give researchers a way to universally identify antibodies used in publications. The registry contains antibody product information organized according to genes, species, reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones). Data is provided in many formats so that authors of biological papers, text mining tools and funding agencies can quickly and accurately identify the antibody reagents they and their colleagues used. The Antibody Registry allows any user to submit a new antibody or set of antibodies to the registry via a web form, or via a spreadsheet upload.

Proper citation: Antibody Registry (RRID:SCR_006397) Copy   

•   Source: SciCrunch Registry

http://www.monster.com/

Global online employment solution for people seeking jobs and the employers who need great people. They''ve been doing this for over ten years, and have expanded from their roots as a job board to a global provider of a full array of job seeking, career management, recruitment and talent management products and services.

Proper citation: Monster (RRID:SCR_006463) Copy   

•   Source: SciCrunch Registry

http://ctdbase.org/

A public database that enhances understanding of the effects of environmental chemicals on human health. Integrated GO data and a GO browser add functionality to CTD by allowing users to understand biological functions, processes and cellular locations that are the targets of chemical exposures. CTD includes curated data describing cross-species chemical–gene/protein interactions, chemical–disease and gene–disease associations to illuminate molecular mechanisms underlying variable susceptibility and environmentally influenced diseases. These data will also provide insights into complex chemical–gene and protein interaction networks.

Proper citation: Comparative Toxicogenomics Database (CTD) (RRID:SCR_006530) Copy   

•   Source: SciCrunch Registry

http://rgd.mcw.edu

Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources.

Proper citation: Rat Genome Database (RGD) (RRID:SCR_006444) Copy   

•   Source: SciCrunch Registry

http://flybase.org/

Database of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar.

Proper citation: FlyBase (RRID:SCR_006549) Copy   

•   Source: SciCrunch Registry

http://www.pombase.org/

Model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation. PomBase also provides a community hub for researchers, providing genome statistics, a community curation interface, news, events, documentation, mailing lists, and welcomes data submissions.

Proper citation: PomBase (RRID:SCR_006586) Copy   

•   Source: SciCrunch Registry

http://www.pseudomonas.com/

Database of peer-reviewed, continually updated annotation for the Pseudomonas aeruginosa PAO1 reference strain genome expanded to include all Pseudomonas species to facilitate cross-strain and cross-species genome comparisons with high quality comparative genomics. The database contains robust assessment of orthologs, a novel ortholog clustering method, and incorporates five views of the data at the sequence and annotation levels (Gbrowse, Mauve and custom views) to facilitate genome comparisons. Other features include more accurate protein subcellular localization predictions and a user-friendly, Boolean searchable log file of updates for the reference strain PAO1. The current annotation is updated using recent research literature and peer-reviewed submissions by a worldwide community of PseudoCAP (Pseudomonas aeruginosa Community Annotation Project) participating researchers. If you are interested in participating, you are invited to get involved. Many annotations, DNA sequences, Orthologs, Intergenic DNA, and Protein sequences are available for download.

Proper citation: Pseudomonas Genome Database (RRID:SCR_006590) Copy   

•   Source: SciCrunch Registry

http://ittakes30.wordpress.com/

Blog about the interests of the Department of Systems Biology at Harvard Medical School. They use tools from physics, mathematics and computer science to help us better understand the behavior of biological systems, large and small. Jobs and postdoc positions are available under the corresponding categories. Interests: * Methods for quantitative measurement, and for data analysis. Although much is said about the flood of new data in biology, nearly every time you want to understand a biological system at a mathematical or mechanical level you find that the numbers you need most are missing. Measuring and extracting the parameters that describe key features of the system is a major interest. * Theoretical and computational methods that can cope with the special features of biological systems. Issues such as combinatorial complexity, stochasticity, and variation from individual to individual and tissue to tissue are hard to deal with using conventional tools. * Philosophies of modeling. How do we represent what we know about the system what level of abstraction is appropriate for a given question, what is important and what can be ignored? What are models useful for? * Evolution. One of the more useful tools to identify what''s important is evolution a comparison across species helps to show what is allowed to change and what is not. * Synthetic biology. If I understand it, can I build it? (And in any case, can I build useful stuff?) They will post thoughts about recent papers in the literature that they find interesting, news about the Department, and information about Department Alumni. Please check back frequently, and feel free to comment.

Proper citation: It Takes 30 (RRID:SCR_006882) Copy   

•   Source: SciCrunch Registry

http://brainmaps.org

An interactive multiresolution brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and integrated with a high-speed database for querying and retrieving data about brain structure and function. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, Tyto alba and many other vertebrates. BrainMaps is currently accepting histochemical, immunocytochemical, and tracer connectivity data, preferably whole-brain. In addition, they are interested in EM, MRI, and DTI data.

Proper citation: BrainMaps.org (RRID:SCR_006878) Copy   

•   Source: SciCrunch Registry

http://physionet.org/physiobank/

Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.

Proper citation: Physiobank (RRID:SCR_006949) Copy   

•   Source: SciCrunch Registry

http://www.pantherdb.org/

System that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in absence of direct experimental evidence. Orthologs view is curated orthology relationships between genes for human, mouse, rat, fish, worm, and fly., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PANTHER (RRID:SCR_004869) Copy   

•   Source: SciCrunch Registry

http://www.nature.com/npp/podcast/index.html

BrainPod is the podcast from the journal Neuropsychopharmacology. Join us as we delve into the latest basic and clinical research that advance our understanding of the brain and behavior, featuring highlighted content from a top journal in fields of neuroscience, psychiatry, and pharmacology.

Proper citation: BrainPod (RRID:SCR_004779) Copy   

•   Source: SciCrunch Registry

http://brainspan.org/rnaseq/downloads.html?format=html

BrainSpan, an atlas of the developing human brain, is designed as a foundational resource for studying transcriptional mechanisms involved in human brain development. One of the BrainSpan datasets, RNA-Seq exons summarized to genes, is presented. It is a downloadable archive of files containing normalized RNA-Seq expression values for analysis.

Proper citation: BrainSpan: RNA-Seq exons summarized to genes (RRID:SCR_005029) Copy   

•   Source: SciCrunch Registry

http://neuroscienceblueprint.nih.gov/factSheet/MicronCon.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2012. (no longer being funded) The NIH Microarray Consortium provides for-fee services to a community of NIH grantees, together with a more limited set of services to the public. The primary goal of this consortium is to move basic and translational research forward through acquisition and dissemination of high quality genomic data. This site includes a repository of microarray data sets and offers one-click links to public projects. These datasets were generated by various researchers on these platforms: Affymetrix, Agilent, Ambion, cDNA, Illumina, and Operon. The species currently covered are: Arabidopsis, Bovine, chicken, C. Elegans, Drosophila, Human, Macaca mulatta (Rhesus macaque), Mouse, Rat, Songbird, Xenopus, Yeast, and zebra finch. Basic search functions allows users to choose multiple options for finding the projects that interest them, and raw data files can also be downloaded after user registration. Web-based data analysis tools are also available. Scientists can analyze microarray data from the consortium repository or investigators can upload outside data for analysis.

Proper citation: NIH Neuroscience Microarray Consortium (RRID:SCR_004930) Copy   

•   Source: SciCrunch Registry

http://www.nature.com/naturejobs/science/

Search for the widest range of science jobs with thousands of vacancies advertised globally on the site. Employers range from top international pharmaceutical and biotechnology companies to highly respected academic and government institutions. Job seekers can find a wide range of scientific career information and news as well as expert advice, all free to access. What''s more, employers can post jobs for free.

Proper citation: Naturejobs (RRID:SCR_005151) Copy   

•   Source: SciCrunch Registry