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http://skatebase.org/

Portal supporting the North East Bioinformatics Collaborative''s project to sequence the genome of the Little Skate. Provided is a clearinghouse for Little Skate Genome Project and other publicly available Skate and Ray (Batoidea) genome data, and tools for data visualization and analysis. Little Skate Genome Project The little skate (Leucoraja erinacea) is a chondrichthyan (cartilaginous) fish native to the east coast of North America. Elasmobranchs (Skates, Rays, and Sharks) exhibit many fundamental vertebrate characteristics, including a neural crest, jaws and teeth, an adaptive immune system, and a pressurized circulatory system. These characteristics have been exploited to promote understanding about human physiology, immunology, stem cell biology, toxicology, neurobiology and regeneration. The development of standardized experimental protocols in elasmobranchs such as L. erinacea and the spiny dogfish shark (Squalus acanthias) has further positioned these organisms as important biomedical and developmental models. Despite this distinction, the only reported chondrichthyan genome is the low coverage (1.4x) draft genome of the elephant shark (Callorhinchus milii). To close the evolutionary gaps in available elasmobranch genome sequence data, and generate critical genomic resources for future biomedical study, the genome of L. erinacea is being sequenced by the North East Bioinformatics Collaborative (NEBC). As close evolutionary relatives, the little skate sequence will facilitate studies that employ dogfish shark and other elasmobranchs as model organisms. Skate tools include the SkateBLAST and the Skate Genome Browsers: Little Skate Mitochondrion, Thorny Skate Mitochondrion, and Ocellate Spot Skate Mitochondrion.

Proper citation: SkateBase (RRID:SCR_005302) Copy   

•   Source: SciCrunch Registry

http://pubbrain.org/

A literature search and visualization tool that allows end users to enter any PubMed query and see that query rendered as a heatmap illustrating which regions of interest are most commonly mentioned within the search results. To use PubBrain, simply enter any valid PubMed search in the search box.

Proper citation: PubBrain (RRID:SCR_005387) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/CRISP

Ontology of Computer retrieval of Information on Scientific Projects (CRISP).

Proper citation: Computer Retrieval of Information on Scientific Projects Thesaurus (RRID:SCR_005301) Copy   

•   Source: SciCrunch Registry

http://ingap.sourceforge.net/

Software mining pipeline guided by a Bayesian principle to detect single nucleotide polymorphisms, insertion and deletions by comparing high-throughput pyrosequencing reads with a reference genome of related organisms. This pipeline is extended to identify and visualize large-size structural variations, including insertions, deletions, inversions and translocations.

Proper citation: inGAP (RRID:SCR_005261) Copy   

•   Source: SciCrunch Registry

http://sv.gersteinlab.org/pemer/

Software package as computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data. Package is composed of three modules, PEMer workflow, SV-Simulation and BreakDB. PEMer workflow is a sensitive software for detecting SVs from paired-end sequence reads. SV-Simulation randomly introduces SVs into a given genome and generates simulated paired-end reads from novel genome.

Proper citation: PEMer (RRID:SCR_005263) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/phantompeakqualtools/

Software package that computes quick but highly informative enrichment and quality measures for ChIP-seq/DNase-seq/FAIRE-seq/MNase-seq data. It can also be used to obtain robust estimates of the predominant fragment length or characteristic tag shift values in these assays.

Proper citation: phantompeakqualtools (RRID:SCR_005331) Copy   

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http://ikmbio.csie.ncku.edu.tw/coin/home.php

A web-based system that assess articles according to their term correlations among sentences. It employs the co-occurrence relations and their network centralities to evaluate the influence of biomedical terms from Comparative Toxicogenomics Database (CTD)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CoIN (RRID:SCR_005332) Copy   

•   Source: SciCrunch Registry

http://force11.org/

A collaboration which works to transform scholarly communications through advanced use of computers and the Web. FORCE11 advocates the digital publishing of papers in order to enable more effective scholarly communication. The virtual community also advocates the publication of software tools and research communication by means of social media channels. As such, FORCE11 provides access to information and tools for the wider scientific community.

Proper citation: FORCE11 (RRID:SCR_005334) Copy   

•   Source: SciCrunch Registry

http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/modeling/sweet2/

Program that rapidly converts the primary sequence of a complex carbohydrate, as defined by standard nomenclature, directly into a reliable 3D molecular model by linking together preconstructed 3D molecular templates of monosaccharides in the manner specified by the sequence and then optimizing the 3D structure using the MM3 force field. The user interaction is supported by an input spreadsheet consisting of a grid of sugar symbol and connection type cells. Several ways to visualize and to output the generated structures and related information are implemented.

Proper citation: SWEET-DB (RRID:SCR_005324) Copy   

•   Source: SciCrunch Registry

http://omrf.org/

A biomedical research institute that aims to understand and develop more effective treatments for human disease, focusing on critical research areas such as heart disease, cancer, lupus and Alzheimer's disease.

Proper citation: Oklahoma Medical Research Foundation (RRID:SCR_005287) Copy   

•   Source: SciCrunch Registry

http://seqware.github.io/

A portable software infrastructure designed to analyze massive genomics datasets produced by contemporary and emerging technologies, in particular Next Generation Sequencing (NGS) platforms. It consists of a comprehensive suite of infrastructure tools focused on enabling the end-to-end analysis of sequence data ? from from raw base calling to analyzed variants ready for interpretation by users. SeqWare is tool agnostic, it is a framework for building analysis workflows and does not provide specific implementations out-of-the-box. You use SeqWare to create high-throughput infrastructure for NGS analysis using whatever analysis tools you like. SeqWare currently provides 5 main tools specifically designed to support massively parallel sequencing technologies. All tools can be used together or separately: * MetaDB: provides a common database to store metadata used by all components. * Portal: a LIMS-like web application to manage samples, record computational events, and present results back to end users. * Pipeline: a workflow engine that is capable of wrapping and combining other tools (BFAST, BWA, SAMtools, etc) into complex pipelines, recording metadata about the analysis, and facilitates automation of pipelines based on metadata. * Web Service: a programmatic API that lets people build new tools on top of the project * Query Engine: a NoSQL database designed to store and query variants and other events inferred from sequence data.

Proper citation: SeqWare (RRID:SCR_005289) Copy   

•   Source: SciCrunch Registry

http://www.coremine.com/medical/#search

Service to access comprehensive information on diseases, drugs, treatments and medical biology. It is ideal for those seeking an overview of a complex subject while allowing the possibility to drill down to specific details. Search results are presented in a dashboard format comprized of panels containing various categories of information ranging from introductory sources to the latest scientific articles.

Proper citation: Coremine Medical (RRID:SCR_005323) Copy   

•   Source: SciCrunch Registry

http://www.fmrib.ox.ac.uk/

The FMRIB Centre is a multi-disciplinary neuroimaging research facility, which focuses on the use of Magnetic Resonance Imaging (MRI) for neuroscience research, along with related technologies such as Transcranial Magnetic Stimulation, transcranial Direct Cortical Stimulation and EEG. FMRIB is composed of research groups in all aspects of brain imaging research, including physics, analysis, basic science and clinical neuroscience. We were recently awarded 8 million pounds by the MRC, EPSRC, Wolfson Foundation and University of Oxford to purchase and install new 7T and 3T leading-edge MRI systems to enable us to image brain structure and function at even higher resolution than currently possible.

Proper citation: Oxford Centre for Functional MRI of the Brain (RRID:SCR_005283) Copy   

•   Source: SciCrunch Registry

http://afni.nimh.nih.gov/afni/doc/misc/AtlasMap

A sample script on how to map some numbers to brain regions, using the Talairach-Tournoux Atlas database. For example, put the value 0.379 in each hippocampus voxel, and the value 0.666 in each superior temporal gyrus voxel.

Proper citation: Mapping Data to the Talairach Atlas (RRID:SCR_005284) Copy   

•   Source: SciCrunch Registry

http://cmrm.med.jhmi.edu/

The goal of our laboratory is to develop new MR technologies to improve the resolution and contrast of MRI and apply them to observe brain anatomy to answer various types of biological questions. Currently we have three major research targets: Characterization of mouse brain development; Human white matter anatomy and development; and Development of diffusion tensor imaging technique and technology dissemination. The DTI database (Under the DTI Download Tab) contains raw and processed DTI data of normal population. Currently we have 2.5 mm isotropic resolution images and 2.2 mm isotropic resolution images. Only 2.5 mm data are available from this site. If you are interested in the high-resolution images, please contact susumu @ mri.jhu.edu. This database is open to public once the user is registered. Basic imaging parameters can be also downloaded.

Proper citation: Johns Hopkins Laboratory of Brain Anatomical MRI (RRID:SCR_005280) Copy   

•   Source: SciCrunch Registry

http://en.wikipedia.org/wiki/Gene_Wiki

The Gene Wiki is a project that facilitates transferring information on human genes to Wikipedia article stubs with the goal of promoting collaboration and expansion of the articles. Number of gene articles The human genome contains an estimated 20,00025,000 protein-coding genes. The goal of the Gene Wiki project is to create seed articles for every notable human gene, that is, every gene whose function has been assigned in the peer-reviewed scientific literature. Approximately half of human genes have assigned function, therefore the total number of articles seeded by the Gene Wiki project would be expected to be in the range of 10,000 - 15,000. To date, approximately 10,271 articles have been created or augmented to include Gene Wiki project content. Expansion Once seed articles have been established, the hope and expectation is that these will be annotated and expanded by editors ranging in experience from the lay audience to students to professionals and academics. Proteins encoded by genes The majority of genes encode proteins hence understanding the function of a gene generally requires understanding of the function of the corresponding protein. In addition to including basic information about the gene, the project therefore also includes information about the protein encoded by the gene. Stubs for the Gene Wiki project are created by a bot and contain links to the following primary gene/protein databases * HUGO Gene Nomenclature Committee official gene name * Entrez Gene database * OMIM (Mendelian Inheritance in Man) database that catalogues all the known diseases with a genetic component * Amigo Gene Ontology * HomoloGene gene homologs in other species * SymAtlasRNA gene expression pattern in tissues * Protein Data Bank 3D structure of protein encoded by the gene * Uniprot (universal protein resource) a central repository of protein data

Proper citation: Gene Wiki (RRID:SCR_005317) Copy   

•   Source: SciCrunch Registry

http://www.neurobureau.org/

A neuroscience collaboratory that supports open neuroscience, which basically encompasses the unrestricted sharing of: analytic tools, computational resources, data, and knowledge. Its goal is to establish a spirit and forum for open neuroscience, and to facilitate the translation of that ethos into action by conducting successful large open interdisciplinary collaborative efforts such as releasing the preprocessed version of the ADHD-200 competition dataset. The Brain-Art Competition is likewise an effort to bring attention to the more aesthetically-oriented aspects of their field, and to publicize and encourage creative developments taking place at the nexus of art and neuroimaging.

Proper citation: Neuro Bureau (RRID:SCR_005357) Copy   

•   Source: SciCrunch Registry

http://www.nari-icmr.res.in

In the early nineties it became evident that HIV infection was spreading widely in India and the national efforts for control of HIV infection needed to be backed by quality research. It was also realized that AIDS, being a multifaceted disease, needed multi-disciplinary research involving virology, immunology, microbiology, clinical research, epidemiology, field based trials and social and behavioral research. An Institute devoted exclusively to HIV/ AIDS that could undertake research of such a diversity and magnitude was established to meet this requirement. National AIDS Research Institute (NARI) was established in October 1992 in Bhosari, Pune on a seven acre plot. The Institute has progressively expanded its activities in various aspects of research on HIV and AIDS through infra-structural development, capacity building & research programmes. The activities of NARI are supported by the ICMR & numerous extramural agencies. For the fiscal year 2005-2006 the ICMR allocated 5.66 crores for NARI. Additionally, over 13 crores have been generated through extramural sources. The Institute''s research activities are guided by a Scientific Advisory Committee which includes eminent scientists from varied disciplines. All research projects are reviewed & approved by the Ethics Committee which also ensures that research is conducted with highest ethical standards. Establishment of a Community Advisory Board which acts as an interface between the community and the researchers is a pioneering effort by NARI.

Proper citation: National AIDS Research Institute (RRID:SCR_005355) Copy   

•   Source: SciCrunch Registry

http://www.aids.gov/

AIDS.gov works to increase HIV testing and care among people most at-risk for, or living with, HIV, by using emerging communication strategies to provide access to Federal HIV information, policies (e.g. the National HIV/AIDS Strategy), programs, and resources. Objectives # Expand visibility of timely and relevant Federal HIV policies, programs, and resources to the American public. # Increase use of new media tools by government, minority, and other community partners to extend the reach of HIV programs to communities at greatest risk. # Increase knowledge about HIV and access to HIV services for people most at-risk for, or living with, HIV. Unless otherwise noted, material presented on the AIDS.gov Web site is considered Federal government information and is in the public domain. That means this information may be freely copied and distributed. We request that you use appropriate attribution to AIDS.gov. AIDS.gov receives planning guidance from a cross agency planning group and uses a logic model (70 KB) and Communications Plan (702 KB) to guide AIDS.gov activities.

Proper citation: AIDS.gov (RRID:SCR_005356) Copy   

•   Source: SciCrunch Registry