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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://ccb.jhu.edu/software/ASprofile/
A suite of programs for extracting, quantifying and comparing alternative splicing (AS) events from RNA-seq data.
Proper citation: ASprofile (RRID:SCR_001833) Copy
http://www.genome.duke.edu/labs/ohler/research/NASTIseq/
Software for integrated detection of natural antisense transcripts using strand-specific RNA sequencing data.
Proper citation: NASTIseq (RRID:SCR_001797) Copy
https://www.bu.edu/tech/support/research/whats-happening/highlights/earlab/
Freely-accessible auditory databases as well as custom designed modeling and data analysis software tools. A fully functional online auditory modeling environment is also available, as well as downloadable models in several languages. The models cover many aspects of auditory function and at many different levels of detail ranging from multi-compartment celluar models to high-level abstractions of large portions of the auditory pathway. Currently a few models are available that can be run online and others are available for downloading. EarLab also provides custom cross-platform software for creating your own distributed auditory modeling environment, as well as software for analyzing the results from experimentation. A database of auditory modules is available for online use or download for the distributed auditory modeling environment, as well as instructions and specifications for creating your own modules. All these databases and custom software tools can be used in a wide variety of hearing research applications. This unique resource provides a wealth of information on auditory processing in humans and other animals. Mathematical models are also provided.
Proper citation: EarLab (RRID:SCR_001798) Copy
https://github.com/cengique/pandora-matlab
Matlab toolbox for analyzing neuronal electrophysiology data and constructing databases.
Proper citation: PANDORA Matlab Toolbox (RRID:SCR_001831) Copy
A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published.
Proper citation: PhosphoSitePlus: Protein Modification Site (RRID:SCR_001837) Copy
http://www.bioconductor.org/packages/release/bioc/html/OrderedList.html
An R / bioconductor package for detecting similarity in ordered gene lists. Thereby, either simple lists can be compared or gene expression data can be used to deduce the lists. Significance of similarities is evaluated by shuffling lists or by resampling in microarray data, respectively.
Proper citation: OrderedList (RRID:SCR_001834) Copy
https://gene.sfari.org/database/human-gene/
Curated public database for autism research built on information extracted from the studies on molecular genetics and biology of Autism Spectrum Disorders (ASD). The genetic information includes data from linkage and association studies, cytogenetic abnormalities, and specific mutations associated with ASD. New gene submissions are welcome. Modules: * Human Gene: thoroughly annotated list of genes that have been studied in the context of autism, with information on the genes themselves, relevant references from the literature, and the nature of the evidence. Uniquely, SFARI Gene incorporates information on both common and rare variants. * Animal Model: information about lines of genetically modified mice that represent potential models of autism. This information includes the nature of the targeting construct, the background strain and, most importantly, a thorough summary of the phenotypic features of the mice that are most relevant to autism. * Protein Interaction (PIN): compilation of all known direct protein interactions for those gene products implicated in autism. It presents both graphical and tabular views of interactomes, highlighting connections between autism candidate genes. Each protein interaction is manually verified by consultation with the primary reference. * Copy Number Variant (CNV): a parallel resource providing genetic information about all known copy number variants linked to autism. * Gene Scoring: includes a "score" for each autism candidate gene, based on an assessment of the strength of human genetic evidence.
Proper citation: AutDB (RRID:SCR_001872) Copy
http://www.public.asu.edu/~jye02/Software/SLEP/
Software package that provides functions for solving a family of sparse learning algorithms. The functions implemented enjoy the convergence rate of O(1/k^2), although the objective function is non-smooth. Main features: * First-Order Method. At each iteration, they only need to evaluate the function value and the gradient; and thus the algorithms can handle large-scale sparse data. * Optimal Convergence Rate. The convergence rate O(1/k^2) is optimal for smooth convex optimization via the first-order black-box methods. * Efficient Projection. The projection problem (proximal operator) can be solved efficiently. * Pathwise Solutions. The SLEP package provides functions that efficiently compute the pathwise solutions corresponding to a series of regularization parameters by the warm-start technique.
Proper citation: Sparse Learning with Efficient Projections (RRID:SCR_001870) Copy
http://www.scripps.edu/research/
Nonprofit American medical research facility that focuses on research and education in the biomedical sciences. Headquartered in San Diego, California with a sister facility in Jupiter, Florida, the institute has laboratories employing scientists, technicians, graduate students, and administrative and other staff, making it the largest private, non-profit biomedical research organization in the United States and among the largest in the world.
Proper citation: Scripps Research Institute (RRID:SCR_001907) Copy
Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.
Proper citation: R Project for Statistical Computing (RRID:SCR_001905) Copy
https://github.com/benedictpaten/pecan
A Java consistency based multiple sequence alignment software program.
Proper citation: Pecan (RRID:SCR_001909) Copy
Tool that provides an interactive method to examine quantitative relationships between brain regions defined by different digital atlases or parcellation methods. Its current focus is for human brain imaging, though the techniques generalize to other domains. The method offers a quantitative answer to the nomenclature problem in neuroscience by comparing brain parts on the basis of their geometrical definitions rather than on the basis of name alone. Thus far these tools have been used to quantitatively compare eight distinct parcellations of the International Consortium for Brain Mapping (ICBM) single-subject template brain, each created using existing atlasing methods. This resources provides measures of global and regional similarity, and offers visualization techniques that allow users to quickly identify the correspondences (or lack of correspondences) between regions defined by different atlases.
Proper citation: OBART (RRID:SCR_001903) Copy
http://www.plantgdb.org/AtGDB/
Database providing a sequence-centered genome view for Arabidopsis thaliana, with a narrow focus on gene structure annotation. The current genome assembly displayed at AtGDB is version TAIR9. Annotated gene models are TAIR10. They have mapped the complete set of 176,915 publicly available Arabidopsis EST sequences onto the Arabidopsis genome using GeneSeqer, a spliced alignment program incorporating sequence similarity and splice site scoring. About 96% of the available ESTs could be properly aligned with a genomic locus, with the remaining ESTs deriving from organelle genomes and non-Arabidopsis sources or displaying insufficient sequence quality for alignment. The mapping provides verified sets of EST clusters for evaluation of EST clustering programs. Analysis of the spliced alignments suggests corrections to current gene structure annotation and provides examples of alternative and non-canonical pre-mRNA splicing.
Proper citation: Arabidopsis thaliana Genome Database (RRID:SCR_001901) Copy
The Wellcome Trust is the largest charity in the UK. We fund innovative biomedical research, in the UK and internationally, spending over 600 million each year to support the brightest scientists with the best ideas. The Wellcome Trust is an independent charity funding research to improve human and animal health. Established in 1936 and with an endowment of around 13 billion, it is the UK's largest non-governmental source of funds for biomedical research. What we do We spend over 600 million every year both in the UK and internationally achieving our mission. Funding We support many different kinds of research and activities with the ultimate aim of protecting and improving human and animal health. This support is not restricted to UK researchers - we devote significant funding to international research too. Biomedical science Our biomedical science funding enables the investigation of health and disease in humans and animals. This includes funding for scientists, clinicians and veterinarians at different career stages. Technology transfer Our technology transfer funding supports the development of innovative, early-stage projects with potential medical applications. Medical humanities Our medical humanities funding supports research into biomedical ethics and the history of medicine. Public engagement Our public engagement funding promotes interest, excitement and debate around science and society. Capital funding Our capital funding is for large-scale construction or refurbishment projects in the UK that support science, public engagement, medical history, or the activities of learned societies. Strategic awards Our Strategic Awards provide flexible funding that adds value to excellent research groups. Managing a grant This area contains information and resources to help you manage a grant once it has been awarded, from the grant-start certificate to the end-of-grant report and beyond. Education Resources Teaching and education Resources to help promote contemporary science in the curriculum and to enable young people to engage with biomedical science. Tree of Life Darwin200 Big Picture Science Learning Centres Scientific animations Creative Encounters Courses and conferences Trust-run conferences, courses and workshops for scientists, historians, ethicists, social scientists, teachers, healthcare professionals and policymakers, held in the UK and overseas. Advanced Courses Scientific conferences Conference centres Retreats History of medicine Biomedical ethics Biomedical resources Tools, databases and information to support different areas of biomedical research, including genomics, post-genomics and developmental biology. Animal research Genomics Model organisms Microorganisms Post-genomics Tissues Researcher support Support and advice for all kinds of engagement activities to help you communicate your work in the most effective and rewarding way possible. About researcher support National opportunities Regional opportunities Highlights Publications Browse a wealth of publications covering all aspects of the work we fund. Wellcome Trust websites Explore a range of sites covering key biomedical topics and our public engagement activities.
Proper citation: Welcome Trust (RRID:SCR_001852) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowClust.html
A Bioconductor software package for automated gating of flow cytometry data that implements a robust model-based clustering approach based on multivariate t mixture models with the Box-Cox transformation.
Proper citation: flowClust (RRID:SCR_001807) Copy
http://www.nesys.uio.no/Atlas3D/
A splice alignment software tool of RNA-Seq reads mapping.
Proper citation: HSA (RRID:SCR_001809) Copy
VideoCasting of special NIH events, seminars, conferences, meetings and lectures available to viewers on the NIH network and the Internet from the VideoCast web site. VideoCasting is the method of electronically streaming digitally encoded video and audio data from a server to a client. VideoCast is often referred to as streaming video. Streaming files are not downloaded, but rather are broadcast in a manner similar to television broadcasts. The videos are processed by a compression program into a streaming format and delivered in a staggered fashion to minimize impact upon the network and maximize the experience of the content for the viewer. When users request a streaming file they will receive an initial burst of data after a short delay (file latency). While content is being viewed, the streaming server machine and software continues to stream data in such a manner that the viewer experiences no break in the content. CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable podcast. CIT can also broadcast NIH-only or HHS-only content.
Proper citation: NIH VideoCasting (RRID:SCR_001885) Copy
It provides databases and tools useful for analyzing protein structures and their sequences. It is partially derived from, and augments the SCOP: Structural Classification of Proteins database, a database created by manual inspection and abetted by a battery of automated methods, aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between all proteins whose structure is known. Most of the resources provided here depend upon the coordinate files maintained and distributed by the Protein Data Bank. Sponsors: This work is supported by grants from the NIH (1-P50-GM62412, 1-K22-HG00056) and the Searle Scholars Program (01-L-116), and by the US Department of Energy under contract DE-AC03-76SF00098.
Proper citation: ASTRAL Compendium for Sequence and Structure Analysis (RRID:SCR_001886) Copy
https://www.mdcalc.com/calc/715/nih-stroke-scale-score-nihss
The National Institutes of Health Stroke Scale (NIHSS) is a systematic assessment tool that provides a quantitative measure of stroke-related neurological deficit. The NIHSS was originally designed as a research tool to measure baseline data on patients in acute stroke clinical trials. Now, the scale is also widely used as a clinical assessment tool to evaluate acuity of stroke patients, determine appropriate treatment, and predict patient outcome. The NIHSS can be used as a clinical stroke assessment tool to evaluate and document neurological status in acute stroke patients. The stroke scale is valid for predicting lesion size and can serve as a measure of stroke severity. The NIHSS has been shown to be a predictor of both short and long term outcome of stroke patients. Additionally, the stroke scale serves as a data collection tool for planning patient care and provides a common language for information exchanges among healthcare providers. Performing the scale takes between 5-8 minutes. Emergency physicians and nurses, neurologists, neuroscience nurses and other stroke team members are typical examples of who should be certified to perform the NIHSS. The NINDS/NIH training and testing DVD can be obtained from the National Institute of Neurological Disorders and Stroke. Sponsors: NIHSS is supported by the National Institute of Neurological Disorders and Stroke (NINDS).
Proper citation: National Institutes of Health Stroke Scale (RRID:SCR_001804) Copy
http://www.bioconductor.org/packages/release/bioc/html/COMPASS.html
Software for combinatorial polyfunctionality analysis of single cells. It is a statistical framework that enables unbiased analysis of antigen-specific T-cell subsets. It uses a Bayesian hierarchical framework to model all observed cell-subsets and select the most likely to be antigen-specific while regularizing the small cell counts that often arise in multi-parameter space. The model provides a posterior probability of specificity for each cell subset and each sample, which can be used to profile a subject's immune response to external stimuli such as infection or vaccination.
Proper citation: COMPASS (RRID:SCR_001801) Copy
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