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http://www.intute.ac.uk/

Intute is a free online service that helps you to find the best web resources for your studies and research. It was created in response to users' needs and the changing Internet information environment. With millions of resources available on the Internet, it can be difficult to find useful material. The Intute subject specialists review and evaluate thousands of resources to help you choose the key websites in your subject. Intute can also help you develop your Internet research skills through our Virtual Training Suite tutorials, written by lecturers and librarians from universities across the UK. The discipline focus of their service is delivered through four new subject groups: * Science, Engineering and Technology (including geography) * Arts and Humanities * Social Sciences * Health and Life Sciences Intute is created by a consortium of seven universities, working together with a whole host of partners. The Intute consortium includes: * University of Birmingham * University of Bristol * Heriot-Watt University * The University of Manchester * Manchester Metropolitan University * University of Nottingham * University of Oxford Sponsors: Intute is funded by the Joint Information Systems Committee (JISC).

Proper citation: Intute: The Best Web Resources For Education and Research (RRID:SCR_001764) Copy   

•   Source: SciCrunch Registry

http://protein.bio.unipd.it/pasta2/

Online interface that utilizes an algorithm to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. Users can paste the sequence into the interface and output the appropriate sequence.

Proper citation: Prediction of Amyloid Structure Aggregation (RRID:SCR_001768) Copy   

•   Source: SciCrunch Registry

https://www.uniklinik-freiburg.de/mr-en/research-groups/diffperf/fibertools.html

Implemented under MATLAB, this DTI image processing toolbox provides import-filters for several MR file standards, a processing unit to calculate the diffusion tensors; several GUI based tools to calculate fiber tracks and to evaluate the DTI dataset. The results can be filed as images with 3D impression or can be logged in formatted ASCII files. Tools and features: * DTI Processing Unit: Calculates the diffusion tensors and their eigenvalues and eigenvectors. Different file formats are supported (like DICOM, Bruker, binary files, Matlab structures). The standard SIEMENS and GE diffusion encoding schemes are supported; other schemes have to be defined in a separate text, .m or .mat file. * FiberTracking: ** Fiber tracking is realized by using the FACT algorithm (Mori et al., Annal. Neurol 1999). ** Probabilistic tracking realized by using the PiCo (Parker et al., JMRI 2003) approach but with DTI data as basis. It is possible to extract pathways between two seeds by combining two maps (Kreher et al., NeuroImage 2008). ** Global Fiber Tracking on basis of HARDI or DTI data. The method is based on the approach reported in (Marco Reisert et al: Global fiber reconstruction becomes practical. NeuroImage 54(2):955-62) * FiberViewer: ** Visualization and Navigation through different data modalities like DTI maps, fiber tracks, diffusion main directions. ** Supports different kinds of DTI maps (e.g. FA, Trace, lambda images ) ** Creation and manipulation of mask based ROIs. ** Selection of streamline fibers ** Visualization of probabilistic fiber tracking results ** Documentation by logging statistics of ROIs and fiber tracks into text files. ** Import/Export from/to ANALYZE or Nifti * 3D Visualizer: Visualization of map slices, ROIs, and fiber tracks with 3D impression. * Batch Editor: Automatic processing of high amounts of data. Possibility to link processing with SPM8 easily.

Proper citation: DTI and Fibertools Software Package (RRID:SCR_001641) Copy   

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https://ecl.earthchem.org/view.php?id=329

Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute.

Proper citation: VentDB (RRID:SCR_001632) Copy   

•   Source: SciCrunch Registry

http://www.bioit.org.cn/ao/aobase

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. AOBase is a database for antisense oligonucleotides (AOs) selection and design. AOBase is a database developed to facilitate Antisense Oligonucleotides (ODNs) selection for gene expression modulation and to provide a free data source for computer aided ODNs design. Information about valid and invalid ODNs reported in literature are collected and stored in the database, including oligo sequences, target sequences, secondary structures of the target sites, oligo activity measured, and the assay type used for activity measurement. The details on target RNA molecules and reference literature can be explored through the hyperlinks linked to GenBank and PubMed respectively. Each record can be searched for via two web retrieval interfaces: 1) TargetSearch interface, which allows users to query ODNs by name, accession number, or only imprecise descriptions of its target RNA; 2) AOSearch interface, which allows users to search ODNs with several parameters combined, such as oligo activity measured, oligo concentration applied, and motifs involved in oligo sequences. With these two retrieval interfaces, AOBase can be used to select effective ODNs for gene function exploration without expensive in vitro screening experiments, and contribute to mining rules for rational ODNs design. A user friendly interface to encourage data submission is provided.

Proper citation: Database for Antisense Oligonucleotides Selection and Design (RRID:SCR_001753) Copy   

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Issue

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

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

Proper citation: PLINK (RRID:SCR_001757) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/nidag

An international working group dedicated to improving access to neuroimaging results in a free and open-access manner. It seeks to establish a universal coordinate database, including both past papers and future studies. Their current project involves the creation of a comprehensive database of neuroimaging results searchable based on standardized coordinates. Once complete, this will allow anyone to find all of the articles that report a coordinate, or set of coordinates, easily and without cost. Eventually, they hope to expand this database to include not only coordinates, but statistical parametric maps as well. Formation of such a database will increase the likelihood of relevant papers being found and cited, and also be a very useful tool for those interested in meta-analysis, and hopefully clarify structure-function relationships. They are interested in hearing from people who might be willing to contribute to their projects, particularly those with programming experience. The number of published neuroimaging studies is increasing rapidly and it is not feasible to read them all. If a computer database could store key information from published fMRI papers and make that information easier to search or share, this would have substantial benefits for the neuroimaging community. Projects like AMAT, Brainmap, Brede and SumsDB have started to tackle this problem. NIDAG wants to formalize and improve these databases so that they meet the needs of the neuroimaging community. Formal meta-analysis of published data is a valuable way to assess the consistency and reliability of experimental results. A database of neuroimaging results would facilitate meta-analyses, in conjunction with tools like GingerALE and Multi-level Kernel Density Analysis.

Proper citation: NIDAG: Neuroimaging Data Access Group (RRID:SCR_001674) Copy   

•   Source: SciCrunch Registry

http://www.atcc.org/

Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.

Proper citation: ATCC (RRID:SCR_001672) Copy   

•   Source: SciCrunch Registry

http://www.depressionalliance.org/

DA works to relieve and to prevent depression by providing information and support services to those who are affected by it via their publications, supporter services and network of self-help groups for people affected by depression. Depression Alliances services help people to understand, work with and recover from symptoms associated with depression. Depression Alliance believes that the stigma and lack of accurate information surrounding depression continues to prevent people from seeking and finding appropriate and vital help when it is required. Early intervention and information are crucial in enabling those affected by depression to recover quickly and critically in preventing further episodes. Informed by the experiences of people with depression and by research, DA works extensively with government agencies and healthcare professionals to improve the service provision for those affected by depression. DA also campaigns to raise awareness amongst the general public about the realities of this severe and enduring illness by organizing a variety of events and initiatives.

Proper citation: Depression Alliance (RRID:SCR_001709) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/unifiedWMWqPCR.html

Software package that implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.

Proper citation: unifiedWMWqPCR (RRID:SCR_001706) Copy   

•   Source: SciCrunch Registry

https://github.com/sbotond/rlsim

Software package for simulating RNA-seq library preparation with parameter estimation.

Proper citation: rlsim (RRID:SCR_001703) Copy   

•   Source: SciCrunch Registry

http://start.sampleofscience.com

THIS RESOURCE IS NO LONGER IN SERVICE.

Free access service resource dedicated to connect researchers creating scientific samples with scientists who need samples for their experiments. With Sample of Science researchers can submit samples, or contact scientists proposing sample for dissemination. Each disseminated sample also gets its description published in Sample of Science Bulletin, a dedicated open access journal. It acquires a Digital Object Identifier (DOI) and becomes a fully citable item. Because both adequate sample descriptions and mutually-agreed dissemination conditions are key factors for a fruitful dissemination that respects mutual interest, Sample of Science provides tools to elaborate, communicate, discuss, and refine both sample description and dissemination conditions. This process, termed peer-adoption process, results in the publication of disseminated sample descriptions in Sample of Science Bulletin, a dedicated open access publication. The publication in Sample of Science Bulletin is useful to provide adequate recognition to Sample Authors who contribute to the development of science by offering visibility to their disseminated samples. To the adopter it provides experimental details regarding the sample under the form of a citable reference useful for any future publications involving this sample. To a larger scientific community interested in material science, it provides a useful tool to stay abreast the activity of sample providers in their respective field of expertise.

Proper citation: Sample of Science (RRID:SCR_001656) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/RSVSim.html

A software package for the simulation of deletions, insertions, inversions, tandem duplications and translocations of various sizes in any genome available as FASTA-file or data package in R. SV breakpoints can be placed uniformly accross the whole genome, with a bias towards repeat regions and regions of high homology (for hg19) or at user-supplied coordinates.

Proper citation: RSVSim (RRID:SCR_001777) Copy   

•   Source: SciCrunch Registry

http://www.annualreviews.org/

Annual Reviews offers comprehensive, timely collections of critical reviews written by leading scientists. It publishes authoritative, analytic reviews in 37 focused disciplines within the Biomedical, Life, Physical, and Social Sciences. The mission of Annual Reviews is to provide systematic, periodic examinations of scholarly advances in a number of fields of science through critical authoritative reviews. The comprehensive critical review not only summarizes a topic but also roots out errors of fact or concept and provokes discussion that will lead to new research activity. The critical review is an essential part of the scientific method. Sponsors: Annual Reviews is a non-profit organization created and managed by scientists to serve science by publishing reviews in 40 different scientific fields.

Proper citation: Annual Reviews: A Nonprofit Scientific Publisher (RRID:SCR_001655) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/TCC.html

An R package that provides a series of functions for differential expression analysis from RNA-seq count data using robust normalization strategy (called DEGES). The basic idea of DEGES is that potential differentially expressed genes or transcripts (DEGs) among compared samples should be removed before data normalization to obtain a well-ranked gene list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can be done by performing a multi-step normalization strategy (called DEGES for DEG elimination strategy). A major characteristic of TCC is to provide the robust normalization methods for several kinds of count data (two-group with or without replicates, multi-group/multi-factor, and so on) by virtue of the use of combinations of functions in other sophisticated packages (especially edgeR, DESeq, and baySeq).

Proper citation: TCC (RRID:SCR_001779) Copy   

•   Source: SciCrunch Registry

http://pid.nci.nih.gov

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 27, 2016. Curated database of information about known biomolecular interactions and key cellular processes assembled into signaling pathways. All interactions are assembled into pathways, and can be accessed by performing searches for biomolecules, or processes, or by viewing predefined pathways. This was a collaborative project between the NCI and Nature Publishing Group (NPG) from 2006 until September 22nd, 2012, and is no longer being updated. PID is aimed at the cancer research community and others interested in cellular pathways, such as neuroscientists, developmental biologists, and immunologists. The database focuses on the biomolecular interactions that are known or believed to take place in human cells. It can be browsed as an online encyclopedia, used to run computational analyses, or employed in ways that combine these two approaches. In addition to PID''''s predefined pathways, search results are displayed as dynamically constructed interaction networks. These features of PID render it a useful tool for both biologists and bioinformaticians. PID offers a range of search features to facilitate pathway exploration. Users can browse the predefined set of pathways or create interaction network maps centered on a single molecule or cellular process of interest. In addition, the batch query tool allows users to upload long list(s) of molecules, such as those derived from microarray experiments, and either overlay these molecules onto predefined pathways or visualize the complete molecular connectivity map. Users can also download molecule lists, citation lists and complete database content in extensible markup language (XML) and Biological Pathways Exchange (BioPAX) Level 2 format. The database is supplemented by a concise editorial section that includes specially written synopses of recent important research articles in areas related to cancer research, and specially commissioned Bioinformatics Primers that provide practical advice on how to make the most of other relevant online resources. The database and editorial content are updated monthly, and users can opt to receive a monthly email alert to stay informed about new content. Note: as of September 23, 2012 the PID is no longer being actively curated. NCI will maintain the PID website and data for twelve months beyond September 2012 to allow interested parties to obtain the previously curated data before the site is retired in September 2013.

Proper citation: Pathway Interaction Database (RRID:SCR_006866) Copy   

•   Source: SciCrunch Registry

http://www.chuq.qc.ca/fr/

Network of three teaching hospitals affiliated with the medical school of Université Laval and several specialized institutions in Quebec City.

Proper citation: University of Quebec Hospital Centre; Quebec; Canada (RRID:SCR_006740) Copy   

•   Source: SciCrunch Registry

http://www.nichd.nih.gov/about/org/ncmrr/

Foster development of scientific knowledge needed to enhance the health, productivity, independence, and quality-of-life of people with disabilities. A primary goal of Center-supported research is to bring the health related problems of people with disabilities to the attention of the best scientists in order to capitalize upon the myriad advances occurring in the biological, behavioral, and engineering sciences. The NCMRR uses seven research priorities to help guide its research and research priorities. The research initiatives and opportunities recommended in the Research Plan (PDF - 223 KB) for the National Center for Medical Rehabilitation Research are discussed in terms of seven cross-cutting areas in which increased research effort is needed. Those areas are: * improving functional mobility * promoting behavioral adaptation to functional losses * assessing the efficacy and outcomes to medical rehabilitation therapies and practices * developing improved assistive technologies * understanding whole body system responses to physical impairments and functional changes * developing more precise methods of measuring impairments, disabilities, and societal and functional limitations * training research scientists in the field of rehabilitation In addition, the NCMRR has its own National Advisory Board on Medical Rehabilitation Research that meets twice a year to discuss the Center''s portfolio and research directions. Programs/Program Areas * Behavioral Sciences and Rehabilitation Technologies (BSRT) Program * Biological Sciences and Career Development (BSCD) Program * Pediatric Critical Care and Rehabilitation (PCCR) Program * Spinal Cord and Musculoskeletal Disorders and Assistive Devices (SMAD) Program * Traumatic Brain Injury (TBI) and Stroke Rehabilitation (TSR) Program * Various Supported Networks, Programs, and Initiatives

Proper citation: NCMRR - National Center for Medical Rehabilitation Research (RRID:SCR_006742) Copy   

•   Source: SciCrunch Registry

https://www.tbindsc.org/

The Traumatic Brain Injury Model Systems National Data and Statistical Center (TBINDSC) located at Craig Hospital in Englewood, Colorado, is a central resource for researchers and data collectors within the Traumatic Brain Injury Model Systems (TBIMS) program. The primary purpose of the TBINDSC is to advance medical rehabilitation by increasing the rigor and efficiency of scientific efforts to longitudinally assess the experience of individuals with traumatic brain injury (TBI). The TBINDSC provides technical assistance, training, and methodological consultation to 16 TBIMS centers as they collect and analyze longitudinal data from people with TBI in their communities, and as they conduct research toward evidence-based TBI rehabilitation interventions. The project design includes * The first prospective, longitudinal multi-center study ever conducted which examines the course of recovery and outcomes following the delivery of a coordinated system of acute neurotrauma and inpatient rehabilitation. * Includes large scale follow-up to 20 years post-injury. Available from this site are links to the TBIMS Presentation and TBIMS Update, which has information about the individual model systems and descriptions of the injury and followup data that are being collected. 2007-2012 Project Priorities * Improved long-term outcomes of individuals with TBI by conducting 1-2 site-specific research projects to test innovative approaches that contribute to rehabilitation interventions and evaluating TBI outcomes in accordance with the focus areas identified in NIDRR''s Long-Range Plan. * Improved outcomes for individuals with TBI by participating in at least one collaborative research module project, which may range from pilot research to more extensive studies. * Continued assessment of long-term outcomes of TBI by enrolling at least 35 subjects per year into the longitudinal portion of the TBIMS database. * In carrying out research activities, each Center may select from the following research domains: Health and Function, Employment, Participation and Community Living, and Technology for Access and Function. In addition, each Center must: * Provide a multidisciplinary system of rehabilitation care specifically designed to meet the needs of individuals with TBI. The system must encompass a continuum of care, including emergency medical services, acute care services, acute medical rehabilitation services, and post-acute services; and * Coordinate with the NIDRR funded Model Systems Knowledge Translation Center to provide scientific results and information for dissemination to clinical and consumer audiences.

Proper citation: Traumatic Brain Injury Model Systems National Data and Statistical Center (RRID:SCR_006736) Copy   

•   Source: SciCrunch Registry

http://www.nactem.ac.uk/

The first publicly-funded text mining center in the world that provides text mining services in response to the requirements of the UK academic community. You can find pointers to sources of information about text mining such as links to: * text mining services provided by NaCTeM * software tools, both those developed by the NaCTeM team and by other text mining groups * seminars, general events, conferences and workshops * tutorials and demonstrations * text mining publications NaCTeM is operated by the University of Manchester with close collaboration with the University of Tokyo.

Proper citation: National Centre for Text Mining (RRID:SCR_006738) Copy   

•   Source: SciCrunch Registry