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Tool used to design PCR primers from DNA sequence - often in high-throughput genomics applications. It does everything from mispriming libraries to sequence quality data to the generation of internal oligos.
Proper citation: Primer3 (RRID:SCR_003139) Copy
Protege is a free, open-source platform that provides a growing user community with a suite of tools to construct domain models and knowledge-based applications with ontologies. At its core, Protege implements a rich set of knowledge-modeling structures and actions that support the creation, visualization, and manipulation of ontologies in various representation formats. Protege can be customized to provide domain-friendly support for creating knowledge models and entering data. Further, Protege can be extended by way of a plug-in architecture and a Java-based Application Programming Interface (API) for building knowledge-based tools and applications. An ontology describes the concepts and relationships that are important in a particular domain, providing a vocabulary for that domain as well as a computerized specification of the meaning of terms used in the vocabulary. Ontologies range from taxonomies and classifications, database schemas, to fully axiomatized theories. In recent years, ontologies have been adopted in many business and scientific communities as a way to share, reuse and process domain knowledge. Ontologies are now central to many applications such as scientific knowledge portals, information management and integration systems, electronic commerce, and semantic web services. The Protege platform supports two main ways of modeling ontologies: * The Protege-Frames editor enables users to build and populate ontologies that are frame-based, in accordance with the Open Knowledge Base Connectivity protocol (OKBC). In this model, an ontology consists of a set of classes organized in a subsumption hierarchy to represent a domain's salient concepts, a set of slots associated to classes to describe their properties and relationships, and a set of instances of those classes - individual exemplars of the concepts that hold specific values for their properties. * The Protege-OWL editor enables users to build ontologies for the Semantic Web, in particular in the W3C's Web Ontology Language (OWL). An OWL ontology may include descriptions of classes, properties and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. These entailments may be based on a single document or multiple distributed documents that have been combined using defined OWL mechanisms (see the OWL Web Ontology Language Guide). Protege is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development.
Proper citation: Protege (RRID:SCR_003299) Copy
http://www.genedata.com/products/expressionist/genomic-profiling.html
Software that provides data processing, analysis, management, and reporting of metabolomics, proteomics and biotherapeutics characterization studies based on mass spectrometry. It can process raw data from various MS instruments, serve MS processing, analysis and reporting needs, and ensure reproducibility and traceability of results.
Proper citation: Genedata Expressionist (RRID:SCR_003298) Copy
Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility.
Proper citation: Mouse Phenome Database (MPD) (RRID:SCR_003212) Copy
http://www.emdataresource.org/
Portal for deposition and retrieval of cryo electron microscopy (3DEM) density maps, atomic models, and associated metadata. Global resource for 3 Dimensional Electron Microscopy structure data archiving and retrieval, news, events, software tools, data standards, validation methods.
Proper citation: EMDataResource.org (RRID:SCR_003207) Copy
Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.
Proper citation: Database of Interacting Proteins (DIP) (RRID:SCR_003167) Copy
Software R-package for running gene set analysis using various statistical methods, from different gene level statistics and a wide range of gene-set collections. The Piano package contains functions for combining the results of multiple runs of gene set analyses.
Proper citation: Piano (RRID:SCR_003200) Copy
http://cumc.columbia.edu/dept/gsas/pharm/index.html
The spirit of the Department of Pharmacology is one of collaborative and synergistic science. As such, interests of the members of the Department span such diverse problems as the identification of molecular signals that determine whether a cell lives or dies to the discovery of new drugs that control cardiac rhythm in inherited and non-inherited heart disease. We at Columbia in general, and within the Department of Pharmacology in particular, are proud to be an integral part of the intellectual and cultural life of New York. In many ways the diversity of scientific interests within the Department reflect the diversity of the rich scientific environment of Columbia University and, in addition, the unique cultural and urban environment of New York City. Within the Graduate Programs in Mechanisms of Health and Disease, the Department of Pharmacology offers a Pharmacology and Molecular Signaling Program leading to the Ph.D. degree. Training is focused on both classical principles of pharmacology and more modern biophysical, genetic and computational approaches to the development of new and more specific therapeutic agents to manage human disease. The interdisciplinary training program in the molecular and genetic basis of cardiac arrhythmias is designed to provide training to post doctoral fellows with either M.D. or Ph.D. degrees to enable them to become independent researchers and leaders in the field as we enter a period of post genomic medical science. The overall aim of the program is to train researchers who will be well-grounded in molecular and cellular biology, but who also are trained in cardiovascular systems physiology/pharmacology in order to integrate the cellular and subcellular mechanisms (genotype) with the basis of human disease expressed at the systems level (phenotype).
Proper citation: Columbia University College of Physicians and Surgeons Department of Pharmacology (RRID:SCR_003320) Copy
http://neuroscience.med.cornell.edu/
The Weill Medical College of Cornell University has a long tradition of neuroscience research. The faculty is large, and the research programs tackle the fundamental questions in the field at all levels - from genes to cells to systems to behavior. The neuroscience community at Weill Cornell spans two campuses. The main one, containing the medical school and associated hospitals, is located on the upper east side of Manhattan, adjacent to Rockefeller University and across the street from the Memorial Sloan-Kettering Cancer Center. The second campus, with the rapidly growing Burke-Cornell Research Institute, is located in White Plains. The following graduate programs are offered: Neuroscience PhD, Tri-Institutional MD-PhD, Physiology and Biophysics, and Tri-Institutional Graduate program in Computational Biology and Medicine.
Proper citation: Cornell University Neuroscience (RRID:SCR_003324) Copy
http://cmb.molgen.mpg.de/2ndGenerationSequencing/Solas/
Software package for the statistical language R, devoted to the analysis of next generation short read data of RNA-seq transcripts. It provides predictions of alternative exons in a single condition/cell sample, predictions of differential alternative exons between two conditions/cell samples, and quantification of alternative splice forms in a single condition/cell sample.
Proper citation: Solas (RRID:SCR_003168) Copy
http://www.broadinstitute.org/cancer/software/genepattern
A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.
Proper citation: GenePattern (RRID:SCR_003201) Copy
https://www.msu.edu/~brains/index.html
The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. Atlases and brain sections are available for a variety of mammals, and we are also developing a series of labeled atlases of stained sections for educators, students, and researchers. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan. What we are doing currently at Michigan State is a series of demonstration projects for publicizing the contents of the collections and ways in which they can be used. For example, the images from the collection can be used for comparative brain study. We have prepared databases of the contents of the collections for presentation and use on this site, as well as for downloading by users in several formats. We are also developing a series of labeled atlases of stained sections for educators, students, and researchers. This internet site is associated with the Comparative Mammalian Brain Collections site. All of the images are in JPEG or GIF format.
Proper citation: Michigan State University Brain Biodiversity Bank (RRID:SCR_003289) Copy
http://cbio.mskcc.org/public/raetschlab/user/drewe/rdiff/
Software tool for detecting differential RNA processing from RNA-Seq data. It implements two statistical tests, rDiff.parametric and rDiff.nonparametric, to detect changes of the RNA processing between two samples.
Proper citation: rDiff (RRID:SCR_003162) Copy
http://www.brainbank.mclean.org/
Biomaterial supply resource that acquires, processes, stores, and distributes postmortem brain specimens for brain research. Various types of brain tissue are collected, including those with neurological and psychiatric disorders, along with their parents, siblings and offspring. The HBTRC maintains an extensive collection of postmortem human brains from individuals with Huntington's chorea, Alzheimer's disease, Parkinson's disease, and other neurological disorders. In addition, the HBTRC also has a collection of normal-control specimens.
Proper citation: Harvard Brain Tissue Resource Center (RRID:SCR_003316) Copy
Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome.
Proper citation: Biological Biochemical Image Database (RRID:SCR_003474) Copy
http://biomed.emory.edu/PROGRAM_SITES/MSP/
The Molecular and Systems Pharmacology graduate program at Emory University offers broad training in the biomedical sciences for students interested in learning how the drugs of today work and how the novel therapeutics of tomorrow can be developed. The Program offers a specialization in toxicology. Emory University was recently rated by The Scientist magazine as the number 1 university in the world in terms of impact in pharmacology and toxicology research. Particular strengths within the MSP graduate school program at Emory include neuropharmacology, cancer biology, AIDS research, cardiovascular pharmacology, toxicology, and chemical biology. Ph.D. training in the Emory MSP program provides students with an ideal preparation for successful careers in the biotechnology and pharmaceutical industries as well as in academic research, teaching, government research, patent law and other disciplines that depend upon knowledge of fundamental pharmacological principles.
Proper citation: Emory University, Molecular and Systems Pharmacology (RRID:SCR_003351) Copy
The Department of Pharmacology & Physiology at the George Washington University provides unique research opportunities at the predoctoral and postdoctoral levels. They also offer courses in Pharmacology and Physiology for Medical and Health Sciences students, as well as a number of graduate-level courses. Our mission is to provide the highest quality of educational opportunities to our community, and to advance scientific knowledge and improve human health through leading-edge research in the biomedical sciences.
Proper citation: George Washington University, Department of Pharmacology and Physiology (RRID:SCR_003358) Copy
A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed.
Proper citation: MouseNET (RRID:SCR_003357) Copy
Computing resources structural biologists need to discover the shapes of the molecules of life, it provides access to web-enabled structural biology applications, data sharing facilities, biological data sets, and other resources valuable to the computational structural biology community. Consortium includes X-ray crystallography, NMR and electron microscopy laboratories worldwide.SBGrid Service Center is located at Harvard Medical School.SBGrid's NIH-compliant Service Center supports SBGrid operations and provides members with access to Software Maintenance, Computing Access, and Training. Consortium benefits include: * remote management of your customized collection of structural biology applications on Linux and Mac workstations; * access to commercial applications exclusively licensed to members of the Consortium, such as NMRPipe, Schrodinger Suite (limited tokens) and the Incentive version of Pymol; remote management of supporting scientific applications (e.g., bioinformatics, computational chemistry and utilities); * access to SBGrid seminars and events; and * advice about hardware configurations, operating system installations and high performance computing. Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, tomography and other experimental structural biology technologies in their research. Most new members are fully integrated with SBGrid within 2 weeks of the initial application.
Proper citation: Structural Biology Grid (RRID:SCR_003511) Copy
http://www.cellimagelibrary.org/
Freely accessible, public repository of vetted and annotated microscopic images, videos, and animations of cells from a variety of organisms, showcasing cell architecture, intracellular functionalities, and both normal and abnormal processes. Explore by Cell Process, Cell Component, Cell Type or Organism. The Cell includes images acquired from historical and modern collections, publications, and by recruitment.
Proper citation: Cell Image Library (CIL) (RRID:SCR_003510) Copy
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