Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
https://github.com/McGranahanLab/TcellExTRECT
Software R package to calculate T cell fractions from WES data from hg19 or hg38 aligned genomes.
Proper citation: T Cell ExTRECT (RRID:SCR_027742) Copy
https://www.musc.edu/innovation/partnerships/clemson-musc-ai-hub
Core delivers support, intuitive tools, and broad accessibility for biomedical discovery. Allows teams to move from experimentation to deployment, fostering cross-functional collaboration between AI HPC and the AI Hub, expands access to advanced computing resources, streamline workflows, and empowers a growing network of users. High-performance computer is capable of performing artificial intelligence techniques such as machine learning and deep learning. These resources accelerate healthcare research, help investigators from different fields to work together and share their data and expertise, and ultimately improve population health through rapid translation of research to clinical care.
Proper citation: Medical University of South Carolina AI High Performance Computing Core (RRID:SCR_028822) Copy
Repository of Cre Driver lines and related information resources. Their services include analysis of Cre line excision function in both target and non-target tissues using Cre reporter lines and presenting the annotated data in the expression data portion of this website, http://cre.jax.org/data.html.
Proper citation: JAX Cre Repository (RRID:SCR_005566) Copy
http://learn.genetics.utah.edu/
Educational resources that provide accurate and unbiased information about topics in genetics, bioscience and health for global and local audiences. They are jargon-free, target multiple learning styles, and often convey concepts through animation and interactivity. The Genetic Science Learning Center is a science and health education program located in the midst of the bioscience research being carried out at the University of Utah. Our mission is making science easy for everyone to understand. * Two websites, available free of charge to Internet users worldwide: ** Learn.Genetics delivers educational materials on genetics, bioscience and health topics. They are designed to be used by students, teachers and members of the public. The materials meet selected US education standards for science and health. ** Teach.Genetics provides resources for K-12 teachers, higher education faculty, and public educators. These include PDF-based Print-and-Go™ activities, unit plans and other supporting resources. The materials are designed to support and extend the materials on Learn.Genetics. *Professional development programs that update K-16 teachers' expertise in bioscience and health topics as well as prepare them to implement the materials on our websites. * Community programs that engage with diverse communities in discussions about genetics and health, and in developing culturally and linguistically-appropriate educational materials. Some topics in genetics and bioscience research are controversial. The Center does not take sides in political or ethical controversies. Rather, our goal is to provide comprehensive information that promotes a lively discussion of these topics, so that individuals can arrive at their own informed decisions.
Proper citation: University of Utah Genetic Science Learning Center - Learn Genetics (RRID:SCR_001910) Copy
Supplies biomedical investigators with rat models, embryonic stem cells, related reagents, and protocols they require for their research. In addition to repository, cryostorage and distribution functions, RRRC can facilitate acquisition of rat strains from other international repositories as well as provide consultation and technical training to investigators using rat models.
Proper citation: Rat Resource and Research Center (RRID:SCR_002044) Copy
Center for advancing scientific understanding and improving the health and well-being of humans and nonhuman primates. The Center conducts research in microbiology and immunology, neurologic diseases, neuropharmacology, behavioral, cognitive and developmental neuroscience, and psychiatric disorders.
Proper citation: Yerkes National Primate Research Center (RRID:SCR_001914) Copy
https://ambystoma.uky.edu/genetic-stock-center/
Maintains breeding colony of Mexican axolotls (Ambystoma mexicanum) that distributes axolotl embryos, larvae, and adults to laboratories and classrooms throughout the United States and abroad. Their mission is to serve biology research programs and educators by providing experimental material and expertise and by encouraging and facilitating the exchange of information and ideas.
Proper citation: Ambystoma Genetic Stock Center (RRID:SCR_006372) Copy
Center that aims to provide an environment to support biomedical research directed towards human health issues and nonhuman primate health and biology. To meet this mission, the WaNPRC supports biomedical research activities, professional research staff, specifically bred and maintained nonhuman primate colonies, and dedicated facilities and equipment required for nonhuman primate research protocols.
Proper citation: Washington National Primate Research Center (RRID:SCR_002761) Copy
https://monarchinitiative.org/
Repository of information about model organisms, in vitro models, genes, pathways, gene expression, protein and genetic interactions, orthology, disease, phenotypes, publications, and authors, and ability to navigate multi-scale spatial and temporal phenotypes across in vivo and in vitro model systems in context of genetic and genomic data, using semantics and statistics. Discovery system provides basic and clinical science researchers, informaticists, and medical professionals with integrated interface and set of discovery tools to reveal genetic basis of disease, facilitate hypothesis generation, and identify novel candidate drug targets. Database that indexes authoritative information on experimental models of disease from MGI, RGD and ZFIN.
Proper citation: MONARCH Initiative (RRID:SCR_000824) Copy
Research center aimed towards increasing understanding of basic primate biology and improving human health and quality of life. Its goals include helping discover treatments, preventative measures and cures for human disease; gathering knowledge of primate biology and ecosystems; providing resources to scientists world wide; and collecting and disseminating research to the larger scientific community and public.
Proper citation: Wisconsin National Primate Research Center (RRID:SCR_012987) Copy
Project portal dedicated to understand animal and machine intelligence and repository of data and tools. Suite of tools to analyze and graph imaging data. Image and data repository for large, publicly available neuro-specific data files and images. Contains tools for analytics, databases, cloud computing, and Web-services applied to both big neuroimages and big neurographs.
Proper citation: neurodata (RRID:SCR_014264) Copy
http://www.nsrrc.missouri.edu/
Provides access to critically needed swine models of human health and disease as well as a central resource for reagents, creation of new genetically modified swine, and information and training related to use of swine models in biomedical research.
Proper citation: National Swine Resource and Research Center (RRID:SCR_006855) Copy
Center for high-throughput DNA sequence generation and the accompanying analysis. The sequence data generated by the center's machines are analyzed in a complex bioinformatics pipeline, and the data are deposited regularly in the public databases at the National Center for Biotechnology Information (NCBI).
Proper citation: Baylor College of Medicine Human Genome Sequencing Center (RRID:SCR_013605) Copy
Open source database used for analyzing and modeling compound interactions with human and animal organ models.Platform for experimental design, data management, and analysis, and to combine experimental data with reference data, to enable computational modeling. Resource for relating in vitro organ model data to multiple biochemical, preclinical, and clinical data sources on in vivo drug effects.
Proper citation: Microphysiology Systems Database (RRID:SCR_021126) Copy
http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000674.v1.p1
Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated.
Proper citation: Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) Copy
Database that provides free online tools to users to allow the retrieval of information related to the Drosophila genome and allows access to genome-wide and related cell-based screening of Drosophila at Harvard Medical School (for a fee) . Tools available include SnapDragon, and RNAi designer, a heat map tool for viewing screen data, and gene and amplicon search and download tools. The DRSC mainly exists to provide Drosophila genome screening services, including help with assay development and optimization, data and image analysis, and planning of follow-up assays.
Proper citation: Drosophila RNAi Screening Center (RRID:SCR_000733) Copy
https://tetrahymena.vet.cornell.edu/
Centralized repository and distribution site for variety of Tetrahymena strains and species. Maintains diverse array of wild type, mutant, and genetically engineered strains of T. thermophila, the most commonly used laboratory species, and variety of other species derived from both laboratory maintained stocks and wild isolates. All stocks are stored in liquid nitrogen to maintain genetic integrity and prevent senescence. In addition to providing worldwide access to strains currently in collection, TSC continually upgrades collection by accepting deposition of newly developed laboratory strains and well characterized wild isolates collected from clearly defined natural sites.
Proper citation: Tetrahymena Stock Center (RRID:SCR_008362) Copy
https://www.nature.com/articles/s41467-018-03367-w
Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes.
Proper citation: nanoPOTS (RRID:SCR_017129) Copy
https://github.com/aidenlab/juicer.git
Software platform for analyzing kilobase resolution Hi-C data. Open source tool for analyzing terabase scale Hi-C datasets. Allowes to transform raw sequence data into normalized contact maps.
Proper citation: Juicer (RRID:SCR_017226) Copy
https://amp.pharm.mssm.edu/geneshot/
Software tool as search engine for ranking genes from arbitrary text queries. Enables to enter arbitrary search terms, to receive ranked lists of genes relevant to search terms. Returned ranked gene lists contain genes that were previously published in association with search terms, as well as genes predicted to be associated with terms based on data integration from multiple sources. Search results are presented with interactive visualizations.
Proper citation: Geneshot (RRID:SCR_017582) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the kravitz2 Resources search. From here you can search through a compilation of resources used by kravitz2 and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that kravitz2 has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on kravitz2 then you can log in from here to get additional features in kravitz2 such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into kravitz2 you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within kravitz2 that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.