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https://github.com/dpeerlab/phenograph

Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity.

Proper citation: Phenograph (RRID:SCR_016919) Copy   

•   Source: SciCrunch Registry

https://biccn.org/data

Searchable table of datasets. Data generated from projects through BRAIN Initiative Cell Census Network. Datasets can be filtered by species, research investigator, grant number or experimental technique. Includes links to data directories at data archives and links to protocols.

Proper citation: BICCN Cell Registry (RRID:SCR_017267) Copy   

•   Source: SciCrunch Registry

https://www.mousephenotype.org/imits/

This resource has been replaced by GenTaR. Software tool for the planning of all IMPC mouse production. Allows IMPC production centers to record the progress of mouse production, cre-excision and to summarise the progress of phenotype data collection and transfer to the IMPC DCC. Stores all the mutation molecular structures made for the IKMC, catalogs of all IKMC products.

Proper citation: iMITS (RRID:SCR_016552) Copy   

•   Source: SciCrunch Registry

https://emcore.ucsf.edu/cryoem-software

Software tool for anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Used to describe the sample motion as a local deformation that varies smoothly throughout the exposure. A program running on Linux.

Proper citation: MotionCor2 (RRID:SCR_016499) Copy   

•   Source: SciCrunch Registry

https://cm.jefferson.edu/rna22/

Software tool as a pattern based algorithm for detecting microRNA binding sites and their corresponding microRNA and mRNA complexes. Allows interactive exploration and visualization of miRNA target predictions. Permits link-out to external expression repositories and databases.

Proper citation: RNA22 (RRID:SCR_016507) Copy   

•   Source: SciCrunch Registry

https://tbportals.niaid.nih.gov

Web based open access platform for global drug resistant tuberculosis data sharing and analysis. The NIAID TB Portals program and consortium of clinicians and scientists from countries with a heavy burden of TB, especially drug resistant TB, to collect TB data.

Proper citation: TB PORTALS (RRID:SCR_016594) Copy   

•   Source: SciCrunch Registry

https://triage.niaid.nih.gov

Platform to facilitate prediction, analysis, and hypothesis generation from genome wide perturbation studies like those designed with RNAi and CRISPR technologies.

Proper citation: TRIAGE (RRID:SCR_016609) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/projects/mutagene/

Software tool to explore and analyze mutagenic factors leading to tumors to decipher cancer genetic heterogeneity.

Proper citation: MutaGene (RRID:SCR_016574) Copy   

•   Source: SciCrunch Registry

https://www.cincinnatichildrens.org/research/support/clinical-translational-research

Clinical research support center for investigators and industry sponsors.Provides support services, research tools, experienced research personnel, and facilities to conduct or facilitate pediatric and adult clinical research from identification and development of research opportunities to phase I through phase IV clinical research trials.

Proper citation: Cincinnati Children's Hospital Office for Clinical and Translational Research Core Facility (RRID:SCR_022633) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT

Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.

Proper citation: XTRACT (RRID:SCR_024933) Copy   

•   Source: SciCrunch Registry

https://www.npatlas.org

Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.

Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy   

•   Source: SciCrunch Registry

https://aushsi.shinyapps.io/baseline/

Web tool to detect under- or over-dispersion in a baseline table from baseline table.

Proper citation: baseline (RRID:SCR_025128) Copy   

•   Source: SciCrunch Registry

https://cellarium.ai

Software platform to annotate cell types.

Proper citation: Cellarium (RRID:SCR_025438) Copy   

•   Source: SciCrunch Registry

https://www.unmc.edu/chvr/research/core-facilities/bioassay-core.html

Core provides equipment, personnel, and protocols for routine and advanced cellular and molecular assays for research.

Proper citation: University of Nebraska Medical Center Bioassay Core Facility (RRID:SCR_026270) Copy   

•   Source: SciCrunch Registry

https://neurowiki.case.edu/

Curriculum materials for an Introduction to Neurobiology course for undergraduate and graduate students.

The course focuses on the analysis of neurons and neural circuits for behavior using the fundamental principles of neuroscience. From the online course syllabus, the 24 units that make up the course may be directly accessed. Each unit contains a reading, links to at least one simulation, and a problem set.

A list of all available simulations can be found here: https://neurowiki.case.edu/wiki/Simulations. * 25 simulations are written in JavaScript and will run in any browser.
Source code: https://github.com/CWRUChielLab/JSNeuroSim * Pre-compiled executables (Windows, Mac, Linux) are available for 1 desktop simulation, the Nernst Potential Simulator.
Source code: https://github.com/CWRUChielLab/Nernst Structure of the Course * Solving problems based on simulations of neuronal components, neurons, and simple circuits to understand how they work. * For advanced students, writing a neuroscience Wikipedia article, critical review, or grant, in stages.

Proper citation: NeuroWiki (RRID:SCR_004066) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/pmc/

Collection of full text archive of biomedical and life sciences journal literature at U.S. National Institutes of Health National Library of Medicine (NIH/NLM). With PubMed Central, NCBI is taking lead in preserving and maintaining open access to electronic literature. Value of PubMed Central, in addition to its role as an archive, lies in what can be done when data from diverse sources is stored in common format in single repository. All articles in PMC are free (sometimes on a delayed basis). Some journals go beyond free, to Open Access.

Proper citation: PubMed Central (RRID:SCR_004166) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/pdbe/

The European resource for the collection, organization and dissemination of data on biological macromolecular structures. In collaboration with the other worldwide Protein Data Bank (wwPDB) partners - the Research Collaboratory for Structural Bioinformatics (RCSB) and BioMagResBank (BMRB) in the USA and the Protein Data Bank of Japan (PDBj) - they work to collate, maintain and provide access to the global repository of macromolecular structure data. The main objectives of the work at PDBe are: * to provide an integrated resource of high-quality macromolecular structures and related data and make it available to the biomedical community via intuitive user interfaces. * to maintain in-house expertise in all the major structure-determination techniques (X-ray, NMR and EM) in order to stay abreast of technical and methodological developments in these fields, and to work with the community on issues of mutual interest (such as data representation, harvesting, formats and standards, or validation of structural data). * to provide high-quality deposition and annotation facilities for structural data as one of the wwPDB deposition sites. Several sophisticated tools are also available for the structural analysis of macromolecules.

Proper citation: PDBe - Protein Data Bank in Europe (RRID:SCR_004312) Copy   

•   Source: SciCrunch Registry

http://www.feinsteininstitute.org/Feinstein/Feinstein+HomePage

The Feinstein Institute for Medical Research is the research branch of the North Shore-Long Island Jewish Health System. Biomedical research has been a vital aspect of its two academic medical centers North Shore University Hospital and Long Island Jewish Medical Center since their establishment in the early 1950''s. Through its connection to the hospital system, the Institute bridges the gap between biomedical research and patient care, accessing hundreds of thousands of patients in the health system''s 15 hospitals, four long-term care facilities, three trauma centers, six home health agencies and dozens of outpatient facilities. Institute scientists collaborate with clinicians throughout the system to shed light on basic biological processes underlying disease. This knowledge is used to develop new therapies and diagnostics. Currently, more than 800 scientists and investigators are conducting research in oncology, immunology and inflammation, genetics, psychiatry, neurology, pediatrics, surgery, urology, obstetrics/gynecology and many other specialties. In 2008, the Feinstein received funding from the National Institutes of Health in excess of $28 million, and an additional $10 million from other federal sources. Total annual research funding from all sources exceeded $44 million in 2008. We stand at the threshold of an extraordinary time in medicine. Over the last 100 years, biomedical science has progressed very rapidly. Advances coming from the integration of genomics, proteomics and bioinformatics into the biomedical toolkit hold the promise that this transformation will continue well into the 21st century. The Feinstein Institute for Medical Research is a growing force in research innovation, education and progress.

Proper citation: Feinstein Institute for Medical Research (RRID:SCR_004470) Copy   

•   Source: SciCrunch Registry

http://www.mprc.umaryland.edu/mbc.asp

The Maryland Brain Collection (MBC), a resource of the Maryland Psychiatric Research Center (MPRC), is dedicated to promoting research with brain tissue obtained post-mortem from individuals with schizophrenia or related disorders. The primary goal of the MBC is to provide high-quality tissue, along with comprehensive clinical information, for hypothesis-driven research. The MBC is not conceptualized as a Brain Bank with open access but is maintained and funded through collaborative research. The Maryland Brain Collection is managed by researchers at the Maryland Psychiatric Research Center (MPRC). MPRC scientists are dedicated to understanding the causes and improving the treatment of mental illness. The Maryland Brain Collection is associated with the Office of the Chief Medical Examiner for the State of Maryland and other donor sources. MPRC scientists collaborate with scientists from around the world to understand how abnormalities in brain tissue relate to mental illness. The purpose of the MBC is to study the following: Schizophrenia, Bipolar Disorder, Depression, Suicide/Teen suicide, Substance Abuse.

Proper citation: Maryland Brain Collection (RRID:SCR_004384) Copy   

•   Source: SciCrunch Registry

http://rarediseasesnetwork.epi.usf.edu/index.htm

The Rare Diseases Clinical Research Network (RDCRN) was created to facilitate collaboration among experts in many different types of rare diseases. Our goal is to contribute to the research and treatment of rare diseases by working together to identify biomarkers for disease risk, disease severity and activity, and clinical outcome, while also encouraging development of new approaches to diagnosis, prevention, and treatment. The Rare Diseases Clinical Research Network (RDCRN) is made up of 19 distinctive consortia that are working in concert to improve availability of rare disease information, treatment, clinical studies, and general awareness for both patients and the medical community. The RDCRN also aims to provide up-to-date information for patients and to assist in connecting patients with advocacy groups, expert doctors, and clinical research opportunities.

Proper citation: Rare Diseases Clinical Research Network (RRID:SCR_004372) Copy   

•   Source: SciCrunch Registry