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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Measurement Method Ontology Resource Report Resource Website |
Measurement Method Ontology (RRID:SCR_003373) | MMO | ontology, controlled vocabulary, data or information resource | An ontology designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms. | obo, phenotype, clinical |
is listed by: SourceForge is listed by: BioPortal is listed by: OBO |
PMID:22654893 | nlx_157468 | http://sourceforge.net/projects/phenoonto/ ftp://rgd.mcw.edu/pub/ontology/measurement_method/measurement_method.obo |
SCR_003373 | 2025-04-09 11:50:01 | 0 | |||||||
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GBSA Resource Report Resource Website 1+ mentions |
GBSA (RRID:SCR_003413) | GBSA | software resource | Software for analyzing whole-genome bisulfite sequencing data. |
is listed by: OMICtools has parent organization: National University of Singapore; Singapore; Singapore |
PMID:23268441 | GNU General Public License, v3, Acknowledgement requested | OMICS_00600 | SCR_003413 | Genome-Wide Bisulfite Sequencing Analyser Software, GBSA - Genome-Wide Bisulfite Sequencing Analyser Software | 2025-04-09 11:50:04 | 2 | |||||||
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FMA Resource Report Resource Website 1+ mentions |
FMA (RRID:SCR_003379) | FMA | software application, controlled vocabulary, data or information resource, data processing software, database, software resource, ontology, data analysis software | A domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. It is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Its ontological framework can be applied and extended to all other species. The description of how the OWL version was generated is in Pushing the Envelope: Challenges in a Frame-Based Representation of Human Anatomy by N. F. Noy, J. L. Mejino, C. Rosse, M. A. Musen: http://bmir.stanford.edu/publications/view.php/pushing_the_envelope_challenges_in_a_frame_based_representation_of_human_anatomy The Foundational Model of Anatomy ontology has four interrelated components: # Anatomy taxonomy (At), # Anatomical Structural Abstraction (ASA), # Anatomical Transformation Abstraction (ATA), # Metaknowledge (Mk), The ontology contains approximately 75,000 classes and over 120,000 terms; over 2.1 million relationship instances from over 168 relationship types link the FMA's classes into a coherent symbolic model. | anatomy, informatics, model, neuroanatomy, protg, reference, standard, structural, taxonomy, owl, phenotype |
is listed by: BioPortal is related to: T3DB is related to: HIV Brain Sequence Database is related to: CELDA Ontology has parent organization: University of Washington; Seattle; USA |
RSNA-NIBIB ; University of Washington; Washington; USA ; Murdock Charitable Trust ; Microsoft ; Intel Corporation ; NLM LM006822; NLM LM06316; NLM contract LM03528; NHLBI HL08770 |
PMID:18688289 PMID:18360535 PMID:16779026 |
Creative Commons Attribution License, v3 Unported | nif-0000-00066 | http://bioportal.bioontology.org/ontologies/FMA | SCR_003379 | Foundational Model of Anatomy Ontology, Foundational Model of Anatomy | 2025-04-09 11:50:01 | 8 | ||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | training material, software application, narrative resource, data or information resource, software toolkit, software resource | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
GNU Lesser General Public License | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2025-04-09 11:50:01 | 13 | |||||
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Proteomics Identifications (PRIDE) Resource Report Resource Website 500+ mentions |
Proteomics Identifications (PRIDE) (RRID:SCR_003411) | PRIDE | storage service resource, data or information resource, service resource, database, data repository | Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester. | proteomics, protein, peptide, mass spectrometry, annotation, standard, spectra, protein-protein interaction, amino acid, amino acid sequence, post-translational modification, biomart, bio.tools |
is used by: ProteomeXchange is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: HUPO Proteomics Standards Initiative is related to: ProteomeXchange has parent organization: European Bioinformatics Institute |
Wellcome Trust WT085949MA; European Union FP7 LSHG-CT-2006-036814; European Union FP7 260558; European Union FP7 262067; European Union FP7 202272; BBSRC BB/I024204/1 |
PMID:23203882 PMID:19662629 |
Public, Acknowledgement requested | nif-0000-03336, biotools:pride | https://www.ebi.ac.uk/pride/archive/ https://bio.tools/pride |
SCR_003411 | PRoteomics IDEntifications database, PRIDE Archive - proteomics data repository, PRIDE Archive, PRIDE, Proteomics Identifications, Proteomics Identifications (PRIDE), PRoteomics IDEntifications database (PRIDE) | 2025-04-09 11:50:04 | 559 | ||||
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Syracuse University; Institute for Sensory Research Resource Report Resource Website |
Syracuse University; Institute for Sensory Research (RRID:SCR_003377) | ISR | topical portal, portal, data or information resource | The Institute for Sensory Research (ISR) defines itself as a world class research center dedicated to the discovery and application of knowledge of the sensory systems. Integration of engineering, life, and physical sciences, combining rigorous experimental methodology with mathematical analysis is stressed. Our multidisciplinary approach to bioengineering, sensory neuroscience, graduate, and undergraduate education, makes ISR a unique academic research center. At ISR, we study sensory systems, our gateways to the world. Our ears, eyes, skin, and mouth are channels through which we experience sound, light, texture, etc. These are functions that we usually take for granted until problems arise. Engineers, scientists, and students at ISR investigate both the basic sensory principles used by the brain, and also how the sensory systems can be best utilized, modified, and repaired if necessary to better communicate with our surroundings and with one another. In addition to basic research in hearing, touch, vision, and oro-facial biomechanics, recent projects include the design and testing of sensory-aid devices such as cochlear implants, hearing aids, ear protectors, and tactile aids for the visually and hearing impaired. Additional projects involve visual-depth perception, chewing and swallowing, oto-acoustic emissions, and personal care products such as oral rinses and skin lotions. Research * Auditory * Somatosensory * Vision | cochlea model, auditory, somatosensory, vision, eye, ear, skin, mouth, sensory system | nif-0000-01969 | SCR_003377 | 2025-04-09 11:50:01 | 0 | ||||||||||
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Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | data analysis service, analysis service resource, data or information resource, service resource, data set, laboratory portal, database, software resource, production service resource, portal, organization portal | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | Honig Laboratory | 2025-04-09 11:50:04 | 0 | ||||||||
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Marquette University, Neuroscience Resource Report Resource Website |
Marquette University, Neuroscience (RRID:SCR_003404) | Marquette Neuroscience, Marquette Neuroscience Graduate Program | department portal, portal, organization portal, data or information resource | Neuroscience specialization in Graduate Program in Biological Sciences at Marquette University brings together researchers from Departments of Biological and Biomedical Sciences at Marquette to offer quality graduate education in the field of neuroscience with the goal of training students for careers as neuroscience researchers and educators. The specialization is for students who wish to pursue a Ph.D. degree. The collaborative and multi-disciplinary neuroscience research environment at Marquette is supported by the Integrative Neuroscience Research Center (INRC), a consortium of researchers committed to advancing neuroscience research and education at Marquette. The Neuroscience Graduate Program offers the opportunity to conduct research in a collaborative, intellectually rigorous environment, with access to the most modern research tools. | has parent organization: Marquette University College of Health Sciences; Wisconsin; USA | nif-0000-01990 | http://biology.marquette.edu/gradstudneuro/gettingstarted.htm, http://www.marquette.edu/chs/bisc/graduate.shtml | SCR_003404 | Marquette University Neuroscience Graduate Program, Marquette University College of Health Sciences Neuroscience Graduate Program, Marquette University College of Health Sciences Biomedical Sciences Neuroscience Graduate Program | 2025-04-09 11:50:04 | 0 | ||||||||
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caTRIP Resource Report Resource Website 1+ mentions |
caTRIP (RRID:SCR_003409) | caTRIP | software application, software resource, data analysis software, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity. | element, clinical, patient, structure, tissue, trial, tumor, common data element, clinician, data technician, java, outcomes research, ctsa | has parent organization: Cancer Biomedical Informatics Grid | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33400 | SCR_003409 | 2025-04-09 11:50:04 | 2 | |||||||
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JobTarget Resource Report Resource Website |
JobTarget (RRID:SCR_003365) | JobTarget | job resource | JobTarget is the foundation upon which careers and companies are built. Our technology and services connect millions of job seekers to hundreds of thousands of companies through thousands of job boards. We facilitate faster, more meaningful connections by powering niche job sites that target specific audiences of talent, and providing technology and advertising solutions for employers to more quickly and cost-effectively locate the most qualified candidates for their openings. Explore our Products & Services to experience the JobTarget difference or check out Who We Serve to narrow in on the best solutions to serve you. | nlx_11196 | SCR_003365 | 2025-04-09 11:50:00 | 0 | |||||||||||
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ALDEx2 Resource Report Resource Website 100+ mentions |
ALDEx2 (RRID:SCR_003364) | software resource | Software tool to examine compositional high-throughput sequence data with Welch's t-test. A differential relative count abundance analysis for the comparison of two conditions. For example, single-organism and meta-rna-seq high-throughput sequencing assays, or of selected and unselected values from in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer abundance from counts, that has been optimized for three or more experimental replicates. Infers sampling variation and calculates the expected Benjamini-Hochberg false discovery rate given the biological and sampling variation using several parametric and non-parametric tests. Can to glm and Kruskal-Wallace tests on one-way ANOVA style designs. | standalone software, r, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: aldex has parent organization: Western University; Ontario; Canada |
PMID:24910773 | GNU Affero General Public License, v3 | biotools:aldex2, OMICS_04634 | https://bio.tools/aldex2 | SCR_003364 | 2025-04-09 11:50:00 | 418 | |||||||
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Georgetown, Neuroscience Resource Report Resource Website |
Georgetown, Neuroscience (RRID:SCR_003363) | Georgetown Neuroscience | department portal, portal, organization portal, data or information resource | Faculty of the Department of Neuroscience participate in the teaching of courses in the Interdisciplinary Program in Neuroscience and the School of Medicine. A Ph.D. in Neuroscience is offered through the Interdisciplinary Program in Neuroscience. Support for graduate training is offered through the Department, the research grants of individual faculty, as well as through three NIH training grants directed by Neuroscience faculty. * Training in Recovery of Function after CNS Injury. Program Director: Barbara S. Bregman, Ph.D. * Training Program in Drug Abuse. Program Director: Barbara S. Bayer, Ph.D. * Training in Neural Injury and Plasticity. Program Director: Jean R. Wrathall, Ph.D. Scientists in the Department of Neuroscience participate in a wide array of research activities with a focus on understanding both the normal and injured nervous system. The theme of neuroplasticity characterizes much of the research in the Department. We study neuroplasticity during normal development and in the adult in response to activity (e.g., learning) or drugs. Our research is also focused on studying the plasticity that ensues after traumatic (such as spinal cord injury) or ischemic damage to the nervous system and over the course of developmental or neurodegenerative diseases (such as Specific Language Impairment, autism, or Parkinson's and Alzheimer's Diseases). The specific research interests of each of the principal investigators falls under four broad subheadings: *CNS disorders ( Faden, Mocchetti, Rebeck, Riesenhuber,Ullman) *Cognitive/Computational (Riesenhuber, Ullman) *Development, Regeneration and recovery of function after injury (Bregman, Faden, Kromer, Ullman, Wrathall) *Neuroimmunology and Drugs of Abuse (Bayer, Faden, Kromer, Mocchetti) Under this common theme, a variety of diverse techniques and models are employed by the faculty. They range from molecular studies of gene function to studies on humans using Event-Related Potentials (ERPs) and functional MRI. Experimental models include cell culture systems, rodent genetic and experimental models of nervous system injury and disorders, as well as the use of computer simulations to understand higher cortical processing. | nif-0000-01954 | http://neuro.georgetown.edu/home.html | SCR_003363 | GUMC Department of Neuroscience, Georgetown University Medical Center; Department of Neuroscience, Georgetown Dept. of Neuroscience, GUMC Dept. of Neuroscience, Georgetown Department of Neuroscience | 2025-04-09 11:50:00 | 0 | |||||||||
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Malaria Ontology Resource Report Resource Website |
Malaria Ontology (RRID:SCR_003369) | IDOMAL | ontology, controlled vocabulary, data or information resource | An application ontology to cover all aspects of malaria (clinical, epidemiological, biological, etc) as well as the intervention attempts to control it, extending the infectious disease ontology (IDO). | obo, health, pathological, clinical, epidemiological, biological, intervention |
is listed by: BioPortal is listed by: OBO has parent organization: AnoBase: An Anopheles database |
Malaria | nlx_157464 | http://purl.obolibrary.org/obo/idomal.obo http://anobase.vectorbase.org/idomal/IDOMAL.obo |
SCR_003369 | 2025-04-09 11:50:01 | 0 | |||||||
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Alberta Geological Survey Resource Report Resource Website |
Alberta Geological Survey (RRID:SCR_003402) | AGS | portal, data or information resource, data set | Portal of geological information, including geology maps, reports, and GIS datasets, to help with the exploration, development and conservation of Alberta's resources. | geology, alberta, report, map, bibliography, publication, gas, mineral, sand, gravel, groundwater, mineral core, sample, teacher, student | is listed by: re3data.org | nlx_157758 | SCR_003402 | 2025-04-09 11:50:03 | 0 | |||||||||
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Harvard University Neurobiology Resource Report Resource Website |
Harvard University Neurobiology (RRID:SCR_003368) | department portal, portal, organization portal, data or information resource | The mission of the Department of Neurobiology is to promote research and teaching that leads to a better understanding of the normal and diseased brain. The Department faculty are committed to training leaders of the next generation of neuroscientists, including graduate and medical students. Candidates for the Ph.D. in Neurobiology are admitted to the graduate Program in Neuroscience. This interdepartmental training program links the Department of Neurobiology with faculty in the Harvard affiliated hospitals and with faculty in other basic science departments. The Program, established in 1981, now includes about 90 investigators who participate in the training of Ph.D. candidates. Approximately fifteen students are accepted each year so that the steady state enrollment is usually about 80-90. This Program in Neuroscience attracts superb students with a broad range of interests from all areas of the globe. The goals of our training are to produce scientists who have explored one area and one level of analysis in great depth, but who are familiar with the full scope of neuroscience. They should be able to move from one level to another in a critical and creative manner. We also try to develop an appreciation for translational research that bears on human brain disease. The Department of Neurobiology, established in 1966 with Stephen W. Kuffler as Chair, was the first of its kind. The intent was to bring together members of traditional departments- physiologists, biochemists, and anatomists- in order to understand the principles governing communication between cells in the nervous system. This interdisciplinary approach was revolutionary at the time, and the interdisciplinary theme has continued to permeate the evolution of the field of neuroscience ever since. The Program in Neuroscience is one of four programs administered by the Division of Medical Sciences (DMS). DMS, located at the medical school, is a division of the Faculty of Arts and Sciences of Harvard University. | has parent organization: Harvard Medical School; Massachusetts; USA | nif-0000-01956 | SCR_003368 | Harvard Medical School Department of Neurobiology, Harvard Medical School Neurobiology, Harvard Neurobiology | 2025-04-09 11:50:01 | 0 | ||||||||||
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RCircos Resource Report Resource Website 100+ mentions |
RCircos (RRID:SCR_003310) | software resource | Software package that provides a simple and flexible way to generate Circos 2D track plot images for genomic data visualization. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation. | standalone software, unix/linux, mac os x, windows, r |
is listed by: OMICtools is related to: shinyCircoss has parent organization: CRAN has parent organization: Bitbucket |
PMID:23937229 | GNU General Public License, v2, v3 | OMICS_04661 | https://bitbucket.org/henryhzhang/rcircos/ | SCR_003310 | RCircos: Circos 2D Track Plot | 2025-04-09 11:49:56 | 187 | ||||||
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ddCt Resource Report Resource Website 100+ mentions |
ddCt (RRID:SCR_003396) | ddCt | software resource | Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions. | differential expression, gene expression, microtitre plate assay, q-pcr |
is listed by: OMICtools has parent organization: Bioconductor |
GNU Lesser General Public License, v3 | OMICS_02312 | SCR_003396 | Delta-Delta-Ct | 2025-04-09 11:50:03 | 314 | |||||||
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MedScan Resource Report Resource Website 10+ mentions |
MedScan (RRID:SCR_003314) | software application, software resource, data processing software, data acquisition software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. MedScan is a fast and flexible biomedical information extraction technology. It uses dictionaries to identify individual biomedical terms (proteins, cellular processes, small molecules, diseases, etc) referred to in literature articles, and applies advanced natural language processing techniques to detect the relationships within the article and extract these terms and the relationships; the overall process of detection, identification, extraction and assembling, is termed Information Harvesting. Information extracted by MedScan represents the multiple aspects of protein function, including protein modification, cellular localization, protein-protein interactions, gene expression regulation, molecular transport and synthesis, as well as association with diseases, and regulation of various cellular processes. This scope can be broadened by modifying information extraction rules and the dictionaries. Dictionaries can be assembled on any topic or area that is represented in the literature you wish to harvest. High-throughput data generation methodologies like microarray gene expression require new approaches for gathering information for data analysis. For the best results, computational approaches used for high-throughput data analysis require that biological information from the literature be a coherent and integrated part of the analysis software itself. Pathway Studio meets this challenge through its MedScan Technology and underlying ResNet database. All editions of Pathway Studio contain MedScan Technology to harvest information from the literature and to save this information in the Pathway Studio ResNet database ready for data analysis. MedScan is more than a web search engine. Indeed, the output of a Google search can be channeled into MedScan for example. Web searches, like Google, are excellent at finding items as a result of a query. A quick look at the output list usually locates the item for which you are looking. This approach however, is not well suited for information and knowledge gathering. Also, once information is gathered, where do you put it for later computational use? MedScan meets this challenge for the area of biomedical literature and biomedical online information. PubMed meets the needs for a central repository of biomedical literature. Researchers can go to PubMed and search for any topic and articles of interest, much like a web type of search. However, just like a web type of search, PubMed also provides a list of all the hits with a link to the articles. If a single article, or even just a few, are sought, this search approach is useful. Alternatively, MedScan will list all the articles of interest but additionally scans the text for relationships, highlights these relationships in the articles and then lists these relationships and the biological molecules and processes involved in the relationships in separate tables. The tables of relationships can be viewed graphically in Pathway Studio and can be saved into the ResNet database for use in experimental data analysis. | expression, function, article, biological, biomedical, cellular, dictionary, disease, information, literature, localization, medline interfaces, modification, molecule, process, protein, regulation, synthesis, technology, term, transport, FASEB list | PMID:15033866 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21259 | http://www.ariadnegenomics.com/products/medscan/reader/ | SCR_003314 | MedScan | 2025-04-09 11:49:56 | 36 | |||||||
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ggbio Resource Report Resource Website 10+ mentions |
ggbio (RRID:SCR_003313) | software resource | An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries. | standalone software, unix/linux, mac os x, windows, r, infrastructure, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:22937822 | Artistic License, v2 | biotools:ggbio, OMICS_04660 | http://www.tengfei.name/ggbio/ https://bio.tools/ggbio |
SCR_003313 | ggbio - Visualization tools for genomic data | 2025-04-09 11:49:56 | 13 | ||||||
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Volume image object AnNOtation System Resource Report Resource Website 1+ mentions |
Volume image object AnNOtation System (RRID:SCR_003393) | VANO | software application, d visualization software, image processing software, data processing software, software resource, source code | VANO is a Volume image object AnNOtation System for 3D multicolor image stacks, developed by Hanchuan Peng, Fuhui Long, and Gene Myers. VANO provides a well-coordinated way to annotate hundreds or thousands of 3D image objects. It combines 3D views of images and spread sheet neatly, and is just easy to manage 3D segmented image objects. It also lets you incorporate your segmentation priors, and lets you edit your segmentation results! This system has been used in building the first digital nuclei atlases of C. elegans at the post-embryonic stage (joint work with Stuart Kim lab, Stanford Univ), the single-neuron level fruit fly neuronal atlas of late embryos (with Chris Doe lab, Univ of Oregon, HHMI), and the compartment-level of digital map(s) of adult fruit fly brains (several labs at Janelia Farm, HHMI). VANO is cross-platform software. Currently the downloadable versions are for Windows (XP and Vista) and Mac (Intel-chip based, Leopard or Tiger OS). If you need VANO for different systems (such as 64bit or 32bit, Redhat Linux, Ubuntu, etc), you can either compile the software, or send an email to pengh (at) janelia.hhmi.org. VANO is Open-Source. You can download both the source code files and pre-complied versions at the Software Downloads page. | embryo, fruit fly, 3d, annotation, atlas, brain, neuron, neuronal, object, segmentation, software, image, nucleus, cell | has parent organization: Janelia Research | PMID:19189978 | Open unspecified license - please cite; needs a special license for any commercial purpose. | nif-0000-32984 | SCR_003393 | Volume-object annotation system (VANO), VANO - Volume image object AnNOtation System | 2025-04-09 11:50:03 | 8 |
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