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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://www.muschealth.com/multimedia/Podcasts/index.aspx?type=main
The MUSChealth.com Podcast Library, featuring podcasts on a variety of topics related to your health and our services here at MUSC. These medical podcasts are hosted by MUSC faculty, physicians and special guests and are produced and directed by Linda Austin, M.D. Current topics include: * Academics and Education * Aging, Geriatrics and Caregiving * Alcohol and Drug Dependency * Allergies and Asthma * Ashley River Tower * Bones, Joints, Muscles and Spine * Cancer * Children''s Health * Cosmetic Surgery * Dental * Dermatology/Skin Problems * Diabetes, Endocrinology and Metabolism * Digestive Health * ENT: Ear, Nose and Throat * Executive Health * Eye Health * General Health and Wellness * Heart and Vascular Health * Hospice * Kohl''s Take a Minute for Kids * Lungs and Breathing * Men''s Health * Mental Health * MUSC News and Events * Neurological Health * Organ Transplant * Osteoporosis * Pregnancy - Week by Week * Pregnancy and Childbirth * Radiology * Research and Clinical Trials * SC Health, Leadership and Policy * Sports Medicine * Stroke * Urology * Weight Loss Surgery Follow-up * Weight Management * Women''s Health
Proper citation: MUSC Health Podcast Library (RRID:SCR_008827) Copy
http://r-forge.r-project.org/projects/sequgio/
An algorithm to estimate isoforms expression from RNA-seq data based on a model that doesn''t assume uniform distribution of count within transcripts.
Proper citation: Sequgio (RRID:SCR_008867) Copy
Voluntary, non-profit organization dedicated to collecting and disseminating statistical data. Resource for gathering and disseminating epidemiologic data on all primary benign and malignant brain and other CNS tumors.
Proper citation: Central Brain Tumor Registry of the United States (RRID:SCR_008748) Copy
A tool for extraction and collaboration for data curation related to biology. CBioC runs as a web browser extension and allows unobtrusive use of the system during the regular course of research in PubMed. It can also be accessed directly (without having to install a plug-in). Automated text extraction is used as a starting point to bootstrap the database, but then it is up to biologists improve upon the extracted data, ironing out inconsistencies by subsequent edits on a massive scale. * After install, it loads when you visit PubMed. * Gets interactions from PubMed abstracts. * Allows you to vote and modify extracted data. * Also shows data from BIND, DIP, MINT, GRID, IntAct.
Proper citation: CBioC (RRID:SCR_008863) Copy
http://meme.nbcr.net/meme/cgi-bin/gomo.cgi
Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: GOMO - Gene Ontology for Motifs (RRID:SCR_008864) Copy
http://vortex.cs.wayne.edu/projects.htm#OE2GO
Onto-Express is a web-based tool in the Onto-Tools suite that performs automated function profiling for a list of differentially expressed genes. However, Onto-Express does not support functional profiling for the organisms that do not have annotations in public domain, or use of custom (i.e. user-defined) ontologies. This limitation is also true for most of the other existing tools for functional profiling, which means that researchers working with uncommon organisms and/or new annotations or ontologies may be forced to construct such profiles manually. Onto-Express To Go (OE2GO) is a new tool added to the Onto-Tools ensemble to address these issues. OE2GO is built on top of OE to leverage its existing functionality. In OE2GO, the users now have an option to use either the Onto-Tools database as a source of functional annotations or provide their own annotations in a separate file. Currently, OE2GO supports annotation file in the Gene Ontology format. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: Onto-Express To Go (OE2GO) (RRID:SCR_008854) Copy
We aim to facilitate the pathway for access, storage, use and transfer of human organs, cells and tissue between clinical centers within UCL Partners, academic groups in UCL, other universities, hospitals, medical researcher and biotechnology companies, to enhance the ability for researchers to access the materials they need. Alongside this, researchers will be able to exchange information and access guides on regulatory, ethics and practical issues concerning access, transfer and use of this type of material. These guides will be video and documents format, based on talks at organized events given by experts in the relevant fields. All of this information will be accessible on a website that seeks to link groups within UCL and attract attention from the wider world through social media and expansion of existing contacts. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers UCL has the highest concentration of biomedical researchers in Europe. As part of this, UCL has numerous licensed biobanks and is associated with many research intensive hospitals in North London. The role of a biobank is to prepare and hold human tissue samples in for use by medical researchers to help delivery new treatments. Hospitals can also provide human tissue for research by utilizing waste human tissue taken as part of surgery or diagnostic procedures, but is normally incinerated. The researchers using the human tissue could be working within academic laboratories in UK universities and institutions or as part of commercial companies. Researchers currently cannot easily access human tissue to meet the demands of their research, often due to the long ethical, regulatory and contractual processes. However, with the enormous UCL biobanking and research Hospital resources, UCL could be a leading academic institution in providing human tissue for medical research within the UK and internationally. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers. This relies on creating an overarching infrastructure, to consolidate information on disparate human tissue resources around UCL, and (where possible) gain centralized ethical and regulatory and contractual approval for use of the tissue. Funding the infrastructure will rely on a cost recovery model for a per sample basis. As a result the time needed to obtain tissue for research will be dramatically reduced, whilst providing a simple costing model for obtaining human tissue. This will make human tissue procurement much more efficient for end users.
Proper citation: Tissue Access for Patient Benefit (RRID:SCR_008853) Copy
http://www.openmicroscopy.org/site
Open tools to support data management for biological light microscopy produced by a multi-site collaborative effort among academic laboratories and a number of commercial entities. Designed to interact with existing commercial software, all OME formats and software are free, and all OME source code is available under the GNU General public license or through commercial license from Glencoe Software. OME is developed as a joint project between research-active laboratories at the Dundee, NIA Baltimore, and Harvard Medical School and LOCI. In addition, OME has active collaborations with many imaging and informatics groups. While many other applications could use OME''s architecture and design, their specific implementation is focused on biological and biomedical imaging. Those interested in applying OME''s technology to other applications should contact the developers. OME work is divided into several different standards and software projects: * Bio-Formats: A Java-based library for reading and writing over 90 microscopy file formats. * OMERO Software: The Java-based OMERO software project, which currently includes tools for storing, visualizing, managing, and annotating microscopic images and metadata. * OME-XML & OME-TIFF: The OME-XML and OME-TIFF file format specifications, which are open file formats for sharing microscope image data. * OME Server: This was the original OME server project which has now ended and is a legacy product. It implements image-based analysis of cellular dynamics and image-based screening of cellular localization or phenotypes, and included a fully developed version of the 2003 version of OME-XML Schema language.
Proper citation: OME - Open Microscopy Environment (RRID:SCR_008849) Copy
http://www.informatics.jax.org/home/strain
MGI integrates comparative data on inbred strain characteristics including SNPs, polymorphisms, and quantitative phenotypes.
Proper citation: Strains, SNPs and Polymorphisms (RRID:SCR_017518) Copy
http://www.informatics.jax.org/homology.shtml
MGI contains homology information for mouse, human, rat, chimp, dog and other species. Complete set of human, chimpanzee, rhesus macaque, dog, cattle, rat, chicken, western clawed frog and zebrafish Homology Classes for mouse genes. Report includes Chromosome and EntrezGene and OMIM IDs. Report of Human and Mouse Homology Classes sorted by HomoloGene ID includes associated nucleotide and protein sequences, Chromosome and OMIM IDs. Report of Human and Mouse Homology with phenotype annotations. Several additional MGI reports are available, including those for Gene Ontology, Phenotypes and Nomenclature.
Proper citation: Vertebrate Homology (RRID:SCR_017517) Copy
http://heimanlab.com/cut2.html
Software tool to find restriction endonucleases. Helps restriction map nucleotide sequences. Tool with customizable interface, platform independent accessibility, interfaces to NCBI's GenBank, DNA sequence database, and NEB's REBase, and restriction enzyme database. In addition to restriction site mapping, Webcutter 2 also performs degenerate digests, including option of finding restriction sites that can be introduced into sequence by silent mutagenesis.
Proper citation: Webcutter (RRID:SCR_017638) Copy
http://promoter.bx.psu.edu/hi-c/
Genome Browser for study of 3D genome organization and gene regulation and data visualization. Used to visualizing chromatin interaction data, browse other omics data such as ChIP-Seq or RNA-Seq for same genomic region, and gain complete view of both regulatory landscape and 3D genome structure for any given gene., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: 3D Genome (RRID:SCR_017525) Copy
https://www.ncbi.nlm.nih.gov/pubmed/17539361
Study of twins and their families provides tool for disentangling genetic and environmental origins of traits. Study collected behavioral and psychopathological information using self-, parent and teacher reports, and focused on contributions of genetic and environmental risk factors to psychological health of young people.
Proper citation: Cardiff Study of all Wales and North West of England Twins (RRID:SCR_017480) Copy
http://carolina.imis.athena-innovation.gr/mirextra/
Software tool for analysis of expression data for microRNA function.
Proper citation: DIANA-mirExTra (RRID:SCR_017498) Copy
https://www.synapse.org/#!Synapse:syn11459638
Dockerized environment for winning algorithm in 2017 Multiple Myeloma DREAM Challenge, Sub-Challenge 3.
Proper citation: Multiple Myeloma survival predictor (RRID:SCR_017651) Copy
Omics database for spaceflight experiments. Interactive, open access resource where scientists can upload, download, store, search, share, transfer, and analyze omics data from spaceflight and corresponding analogue experiments. Enables exploration of molecular network responses of terrestrial biology to space environment. Contains curated omics data, metadata and radiation dosimetry for model organisms. Supports standard guidelines for submission of datasets, MIAME for microarray, ENCODE Consortium Guidelines for RNA-seq and MIAPE Guidelines for proteomics.
Proper citation: GeneLab (RRID:SCR_017658) Copy
https://github.com/tanghaibao/mcscan
Software package to simultaneously scan multiple genomes to identify homologous chromosomal regions and subsequently align these regions using genes as anchors.Used to identify conserved gene arrays both within same genome and across different genomes. Command line program to wrap dagchainer and combine pairwise results into multi alignments in column format.
Proper citation: MCScan (RRID:SCR_017650) Copy
https://epigenie.com/epigenetic-tools-and-databases/
Collection of epigenetic data browsers and repositories. Repository of epigenetics tools and databases by EpiGenie team.
Proper citation: Epigenie (RRID:SCR_017494) Copy
https://blobtools.readme.io/docs
Software tool as modular command line solution for visualisation, quality control and taxonomic partitioning of genome datasets. Used for interrogation of genome assemblies. Assists in primary partitioning of data, leading to improved assemblies, and screening of final assemblies for potential contaminants.
Proper citation: Blobtools (RRID:SCR_017618) Copy
Portal for visualization and analysis of multi omic data in public and private domains. Enables upload, visualization and analysis of scRNA-seq data.
Proper citation: gene Expression Analysis Resource (RRID:SCR_017467) Copy
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