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http://www.ctalearning.com/

A searchable, keyword-indexed bibliography on conditioned taste aversion learning, the avoidance of fluids and foods previously associated with the aversive effects of a variety of drugs. The database includes articles as early as 1951, and papers just published given that the database is ongoing and constantly updated. In the mid 1950''s, John Garcia and his colleagues at the Radiological Defense Laboratory at Hunters Point in San Francisco assessed the effects of ionizing radiation on a myriad of behaviors in the laboratory rat. One of their behavioral findings was that radiated rats avoided consumption of solutions that had been present during radiation, presumably due to the association of the taste of the solution with the aversive effects of the radiation. These results were published in Science and introduced to the literature the phenomenon of conditioned taste aversion learning (or the Garcia Effect). Subsequently, Garcia and his colleagues demonstrated that such learning appeared unique in a number of respects, including the fact that these aversions were acquired often in a single conditioning trial, selectively to gustatory stimuli and even when long delays were imposed between access to the solution and administration of the aversive agent. Together, these unique characteristics appeared to violate the basic tenets of traditional learning theory and along with a number of other behavioral phenomena (e.g., bird song learning, species-specific defense reactions, tonic immobility and schedule-induced polydipsia) introduced the concept of biological constraints on learning that forced a reconceptualization of the role evolution played in the acquisition of behavior (Garcia and Ervin, 1968; Revusky and Garcia, 1970; Rozin and Kalat, 1971). Although the initial investigations into conditioned taste aversion learning focused on these biological and evolutionary issues and their relation to learning, research in this area soon assessed the basic generality of the phenomenon, specifically, under what conditions such learning did or did not occur. With such research, a wide variety of gustatory stimuli were reported as effective conditioned stimuli and an extensive list of drugs with diverse consequences were reported as effective aversion-inducing agents. Aversions were established in a range of strains and species and under many experimental conditions. Research in this area continues to extend the conditions under which such learning occurs and to demonstrate its biological, neurochemical and anatomical substrates. Although the conditions under which aversion learning are reported to occur appear to generalize from the specific conditions under which they were originally reported, a number of factors including sex, age, training and testing procedures, deprivation level and drug history, all affect the rate of its acquisition and its terminal strength (Riley, 1998). In addition to these experimental demonstrations and assessments of generality, research on conditioned taste aversions has expanded to include investigations into its research and clinical applications (Braveman and Bronstein, 1985). In so doing, taste aversion learning has been applied to the characterization and classification of drug toxicity, the demonstration of the stimulus properties of abused drugs, the management of wildlife predation, the assessment of the etiology and treatment of cancer anorexia, the study of the biochemistry and molecular biology of learning, the etiology and control of alcohol use and abuse, the receptor characterization of the motivational effects of drugs, the occurrence of drug interactions, the characterization of drug withdrawal, the determination of taste psychophysics, the treatment of autoimmune diseases and the evaluation of the role of malaise in drug-induced satiety and drug-induced behavioral deficits. The speed with which aversions are acquired and the relative robustness of this preparation have made conditioned taste aversion learning a widely used, highly replicable and sensitive tool. In 1976, we published the first of three bibliographies on conditioned taste aversion learning. In this initial publication (see Riley and Baril, 1976), we listed and annotated 403 papers in this field. Subsequent lists published in 1977 (Riley and Clarke, 1977) and 1985 (Riley and Tuck, 1985) listed 632 and 1373 papers, respectively. Since that time, we have maintained a bibliography on taste aversion learning utilizing a variety of journal and on-line searches as well as benefiting from the generous contribution of preprints, reprints and pdf files from many colleagues. To date, the number of papers on conditioned taste aversion learning is approaching 3000. The present database lists these papers and provides a mechanism for searching the articles according to a number of search functions. Specifically, it was constructed to provide the reader access to these articles via a variety of search terms, including Author(s), Key Words, Date, Article Title and Journal. One can search for single or multiple items within any specific category. Further, one can search a single or combination of categories. The database is constantly being updated, and any feedback and suggestions are welcome and can be sent to CTALearning (at) american.edu.

Proper citation: Conditioned Taste Aversion: An Annotated Bibliography (RRID:SCR_005953) Copy   

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http://dataver.net/

DataVer is the premier data management verification service for scientific data. DataVer''s data management plan (DMP) Compliance Review and the companion Star Ratings will bring transparency to the investigator''s compliance with data management and sharing guidelines on a grant by grant basis. DataVer will accomplish this through 1) open publication of its review standards and procedures that it applies to all submitted grants and 2) openly report the results of its findings through its web portal so anyone can look up the compliance history of an investigator or lab. The Data Management Plan. The NIH and the NSF typically require a DMP detailing data types and quantity, its storage duration, and plans for making the data accessible to fellow scientists. The DMP is supposed to meet their published guidelines outlining the data management and sharing requirements to which the PI must agree as a condition of funding. The compliance record to date is less than ideal.. Institutional funders may not require a specific DMP as such but many have specific requirements for data management and post-grant data availability. While a specific DMP as such may not be produced for these grants, the data management and sharing is expected to comport with the funders'' guidelines. To date, there are no standardized or uniform means to track or assess the compliance of the investigator with the DMP or published guidelines. While individual institutions have tasked program managers with monitoring the compliance, the process is not uniform and the data stays within the specific institute, unavailable for other granting institutes or foundations. What DataVer does. DataVer offers two services with variations. First, it offers a DMP (or funder guideline) compliance review. For this DataVer compares the actual data management and data sharing of the grant funded data to the approved DMP and with the guidelines its funding agency(s). Second, DataVer rates the actual usability and accessibility of the data based on its own published standards on a three star rating scale. This indicates at a glance how well the data is organized and whether it''s available for reuse by an outside investigator. These procedures give the funders and the scientific community accurate, standardized and timely reports on an investigators'' data storage and data sharing in a publicly available database. We at DataVer believe this light, cast on actual data openness, will further encourage increased care in data management and archiving as well as increased data sharing. This openness and transparency will be a positive means to increase data management plan and guideline compliance, and will stimulate increased attention to the accessibility and usability of the data, so important to its reuse. We will offer a means by which universities, investigators, research facilities, and data repositories can obtain a compliance certification for consistently setting a high standard of data accessibility and usability across multiple grants. This certification is a means by which these stakeholders can demonstrate their achievement in support of data sharing. Grantors will be able to see an institution or facility''s pattern of compliance when deciding where to spend their limited resources.

Proper citation: DataVer (RRID:SCR_005954) Copy   

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https://github.com/stamatak/standard-RAxML

Software program for phylogenetic analyses of large datasets under maximum likelihood.

Proper citation: RAxML (RRID:SCR_006086) Copy   

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http://www.isrctn.com

A primary clinical trial registry which houses proposed, ongoing, and completed clinical research studies. An ISRCTN is a simple numeric system for the unique identification of randomized controlled trials worldwide. The registry provides content validation and curation and the unique identification number necessary for publication. Submitted studies range from cancer to urological diseases.

Proper citation: ISRCTN Registry (RRID:SCR_006087) Copy   

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http://scalar.usc.edu

A free, open source authoring and publishing platform that is designed to make it easy for authors to write long-form, born-digital scholarship online. Scalar enables users to assemble media from multiple sources and juxtapose them with their own writing in a variety of ways, with minimal technical expertise required. This semantic web authoring tool brings a considered balance between standardization and structural flexibility to all kinds of material including a built-in reading interface as well as an API that enables Scalar content to be used to drive custom-designed applications. Scalar also gives authors tools to structure essay- and book-length works in ways that take advantage of the unique capabilities of digital writing, including nested, recursive, and non-linear formats. The platform also supports collaborative authoring and reader commentary.

Proper citation: Scalar (RRID:SCR_006085) Copy   

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http://ogeedb.embl.de/#summary

Online GEne Essentiality database containing genes that were tested experimentally for essentiality and their features; it also provides a set of tools to systematically explore and analyze these data. The main purpose of this project is to better understand gene essentiality by facilitating the comparisons of the differences and similarities between essential and non-essential genes. This is achieved by collecting not only experimentally tested essential and non-essential genes, but also associated gene features such as expression profiles, duplication status, conservation across species, evolutionary origins and involvement in embryonic development. We focus on large-scale experiments and complement our data with text-mining results. Genes are organized into data sets according to their sources. Genes with variable essentiality status across data sets are tagged as conditionally essential, highlighting the complex interplay between gene functions and environments. Linked tools allow the user to compare gene essentiality among different gene groups, or compare features of essential genes to non-essential genes, and visualize the results. Why is it different from existing databases? * we included both essential and non-essential genes so that we could better understand the gene essentiality by comparing the similarities and differences between the two gene sets; * we compiled a list of features for each gene, including whether they are duplicates or involved in development, the number of other homologous genes in the same genome, as well as their earliest expression stages during development. These features are keys to understand the essentiality of genes; * we also provide a set of tools to explore our data and visualize the results. For example, users can simply divide genes into two groups according to whether they are duplicates, calculate the proportion of essential genes (PE%) in each group and then visualize the results in a bar plot; or they can classify genes into multiple groups according to their earliest expression stages during evolution, compare the essentiality of genes that were expressed earlier with those were latter, and plot the results in a line chart.

Proper citation: OGEE - Online GEne Essentiality database (RRID:SCR_006080) Copy   

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http://www.moore.org/

The Foundation is dedicated to advancing environmental conservation, scientific research, and patient care, as well as helping to improve quality of life in the San Francisco Bay Area--Gordon and Betty Moore''s home for more than 70 years. The Foundation is devoted to the inspirational vision articulated by our founders: creating positive outcomes for future generations. This vision guides our mission: to achieve significant, lasting and measurable results in environmental conservation, science, patient care, and the San Francisco Bay Area. A set of core valuesimpact, integrity, disciplined approach, and collaborationdirects our work. The Foundation carries out its work through the following frameworks: * Programs. The enduring management unit designed to achieve transformational change in a selected field of interest through a portfolio of integrated interventions. * Initiatives. Initiatives are built around well-developed strategies for concentrated investments, focused on the long-term and achieving significant impact. Initiatives are characterized by a portfolio approach to grantmaking, and other engagements of the Foundation, to pursue ambitious, large-scale outcomes. * Program grants. The Foundation devotes some of its grantmaking to experimentation, focused innovation, and agile response to time-sensitive, high-impact opportunities in its areas of focus. Across all initiatives and program grants, the Foundation''s grantees and partners seek to make positive changes in the world. The Foundation''s headquarters are in Palo Alto, in a building renovated with an emphasis on the environment and sustainability.

Proper citation: Gordon and Betty Moore Foundation (RRID:SCR_006081) Copy   

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http://www.unm.edu/

Public research university in Albuquerque, New Mexico. Founded in 1889, UNM offers bachelor's, master's, doctoral, and professional degree programs.

Proper citation: University of New Mexico; New Mexico; USA (RRID:SCR_006074) Copy   

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http://nanopub.org/wordpress/

Format for creating, finding, using and citing nanopublications. A nanopublication has two basic elements: * The Assertion: An assertion is a minimal unit of thought, expressing a relationship between two concepts (called the Subject and the Object) using a third concept (called the Predicate). * The Provenance: This is metadata providing some context about the assertion. Provenance means, ''''how this came to be'''' and includes Supporting metadata (like methods) and Attribution metadata (such as authors, institutions, time-stamps, grants, links to DOIs, URLs). Nanopublications can be serialized using existing ontologies and RDF, allowing nanopublications to be machine readable and opening the door to universal interoperability. In turn, this allows extremely large, heterogeneous and decentralized data to be analyzed for the discovery of new associations that would otherwise be beyond the capacity of human reasoning. Nanopublication infrastructure is administered by the Concept Web Alliance, and are based on open standards. They anticipate the community-driven evolution of nanopublication formats to fit the changing needs of authors and publishers.

Proper citation: Nanopub.org (RRID:SCR_005933) Copy   

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http://www.nitrc.org/projects/nyu_trt/

EPI-images of 25 participants gathered during rest as well as anonymized anatomical images of the same participants. The resting-state fMRI images were collected on several occasions: # the first resting-state scan in a scan session # 5-11 months after the first resting-state scan # about 30 (< 45) minutes after 2. Each scan occasion is released as a new version release of the resource. ---Caution: Participants here are part of the NewYork_a contribution to the 1000 Functional Connectomes Project. DO NOT combine datasets.

Proper citation: NYU CSC TestRetest (RRID:SCR_005975) Copy   

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http://oligogenome.stanford.edu/

The Stanford Human OligoGenome Project hosts a database of capture oligonucleotides for conducting high-throughput targeted resequencing of the human genome. This set of capture oligonucleotides covers over 92% of the human genome for build 37 / hg19 and over 99% of the coding regions defined by the Consensus Coding Sequence (CCDS). The capture reaction uses a highly multiplexed approach for selectively circularizing and capturing multiple genomic regions using the in-solution method developed in Natsoulis et al, PLoS One 2011. Combined pools of capture oligonucleotides selectively circularize the genomic DNA target, followed by specific PCR amplification of regions of interest using a universal primer pair common to all of the capture oligonucleotides. Unlike multiplexed PCR methods, selective genomic circularization is capable of efficiently amplifying hundreds of genomic regions simultaneously in multiplex without requiring extensive PCR optimization or producing unwanted side reaction products. Benefits of the selective genomic circularization method are the relative robustness of the technique and low costs of synthesizing standard capture oligonucleotide for selecting genomic targets.

Proper citation: OligoGenome (RRID:SCR_006025) Copy   

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http://db-mml.sjtu.edu.cn/ICEberg/

ICEberg is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. ICEberg will facilitate efficient, multidisciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community.

Proper citation: ICEberg (RRID:SCR_006026) Copy   

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http://martinos.org/mne/

Software suite for processing magnetoencephalography and electroencephalography data. Open source Python software for exploring, visualizing, and analyzing human neurophysiological data including MEG, EEG, sEEG, ECoG . Implements all functionality of MNE Matlab tools in Python and extends capabilities of MNE Matlab tools to, e.g., frequency-domain and time-frequency analyses and non-parametric statistics.

Proper citation: MNE software (RRID:SCR_005972) Copy   

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http://www.actrec.gov.in/

The Advanced Centre for Treatment, Research and Education in Cancer (ACTREC) is the new state-of-the-art R&D satellite of the Tata Memorial Centre (TMC), which also includes under its umbrella the Tata Memorial Hospital (TMH), the largest cancer hospital in Asia. ACTREC has the mandate to function as a national centre for treatment, research and education in cancer. TMC is an autonomous grant-in-aid institution of the Department of Atomic Energy (DAE), Government of India. It is registered under the Societies Registration Act (1860) and the Bombay Public Trust Act (1950). Its Governing Council is headed by the Chairman, Atomic Energy Commission, Government of India. ACTREC comprises of 2 arms - one for basic research and another for clinical research. The basic research building was inaugurated in March 2002 at the new site of ACTREC in Kharghar, Navi Mumbai. In August 2002, the Cancer Research Institute (CRI) shifted in toto from its Parel campus in Mumbai to serve as the basic research arm of ACTREC. The clinical research arm of ACTREC comprising of the Clinical Research Centre (CRC) has become functional from March 2005. ACTREC also has a 50-bed hospital fully equipped with state-of-the-art diagnostic and therapeutic facilities. Research investigations at CRI currently focus on molecular mechanisms responsible for causation of major human cancers relevant to India. It is envisaged that in the future, ACTREC will play a greater role in drug development and emerging therapies for treatment and prevention of cancer.

Proper citation: ACTREC - Advanced Centre for Treatment Research and Education in Cancer (RRID:SCR_006021) Copy   

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http://cran.r-project.org/web/packages/YuGene/

Software providing a simple method for comparison of gene expression generated across different experiments, and on different platforms; that does not require global renormalization, and is not restricted to comparison of identical probes. YuGene works on a range of microarray dataset distributions, such as between manufacturers. The resulting output allows direct comparisons of gene expression between experiments and experimental platforms.

Proper citation: YuGene (RRID:SCR_006023) Copy   

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http://hcv.lanl.gov/content/sequence/HCV/ToolsOutline.html

The HCV sequence database collects and annotates sequence data and provides them to the public via a website that contains a user-friendly search interface and a large number of sequence analysis tools, based on the model of the highly regarded Los Alamos HIV database. The hepatitis C virus (HCV) is a significant threat to public health worldwide. The virus is highly variable and evolves rapidly, making it an elusive target for the immune system and for vaccine and drug design. At present, some 30 000 HCV sequences have been published. This central website provides annotated sequences and analysis tools that will be helpful to HCV scientists worldwide. Things you can do: * Find sequences in the database * Download sequences from the database * Retrieve data about the sequences * Analyze sequences * Work with the sequences using our tools * Download ready-made alignments The HCV sequence database was officially launched in September 2003. Since then, its usage has steadily increased and is now at an average of approximately 280 visits per day from distinct IP addresses.

Proper citation: HCV Sequence Database (RRID:SCR_006019) Copy   

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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   

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http://neuroviisas.med.uni-rostock.de/neuroviisas.html

An open framework for integrative data analysis, visualization and population simulations for the exploration of network dynamics on multiple levels. This generic platform allows the integration of neuroontologies, mapping functions for brain atlas development, and connectivity data administration; all of which are required for the analysis of structurally and neurobiologically realistic simulations of networks. What makes neuroVIISAS unique is the ability to integrate neuroontologies, image stacks, mappings, visualizations, analyzes and simulations to use them for modelling and simulations. Based on the analysis of over 2020 tracing studies, atlas terminologies and registered histological stacks of images, neuroVIISAS permits the definition of neurobiologically realistic networks that are transferred to the simulation engine NEST. The analysis on a local and global level, the visualization of connectivity data and the results of simulations offer new possibilities to study structural and functional relationships of neural networks. neuroVIISAS provide answers to questions like: # How can we assemble data of tracing studies? (Metastudy) # Is it possible to integrate tracing and brainmapping data? (Data Integration) # How does the network of analyzed tracing studies looks like? (Visualization) # Which graph theoretical properties posses such a network? (Analysis) # Can we perform population simulations of a tracing study based network? (Simulation and higher level data integration) neuroVIISAS can be used to organize mapping and connectivity data of central nervous systems of any species. The rat brain project of neuroVIISAS contains 450237 ipsi- and 175654 contralateral connections. A list of evaluated tracing studies are available. PyNEST script generation does work using WINDOWS OS, however, the script must be transferred to a UNIX OS with installed NEST. The results file of the NEST simulation can be visualized and analyzed by neuroVIISAS on a WINDOWS OS.

Proper citation: neuroVIISAS (RRID:SCR_006010) Copy   

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http://www.ncbi.nlm.nih.gov/projects/gv/rbc/main.fcgi?cmd=init

The dbRBC database provides an open, publicly accessible platform for DNA and clinical data related to the human Red Blood Cells (RBC). A new bioinformatics resource, dbRBC, has been installed at the National Center of Biotechnology Information (NCBI). This resource combines the well established Blood Group Antigen Gene Mutation Database (BGMUT) with tools and interlinked resources developed at the NCBI. The main task of dbRBC is to provide access to publicly available genomic, protein and structural information linked to the red blood cell antigens. The site offers a number of resources: * BGMUT Database * Alignment Viewer * SBT Tool * Probe/Primer Resource * Typing Kit Interface * Obstacle

Proper citation: NCBI dbRBC (RRID:SCR_005959) Copy   

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http://dna.cs.byu.edu/gnumap/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. A probabilistic algorithm that addresses the computational problems associated with aligning bisulfite sequencing data to a reference genome.

Proper citation: GNUMAP-BS (RRID:SCR_005995) Copy   

•   Source: SciCrunch Registry