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.
Web application to discover resources available at participating networked universities. This distributed platform for creating and sharing semantically rich data is built around semantic web technologies and follows linked open data principles.
Proper citation: Eagle I (RRID:SCR_013153) Copy
founded in 1913, Harvard T.H. Chan School of Public Health has provided graduate training in public health.
Proper citation: Harvard T.H. Chan School of Public Health (RRID:SCR_011268) Copy
http://www.neurodiscovery.harvard.edu/research/lddn_2.html
Core facility that provides the following services: Assay design and development service. The NeuroDiscovery Center''''s Laboratory for Drug Discovery in Neurodegeneration (LDDN) was established to discover chemical agents from which we and others will develop a new generation of drugs to treat neurodegenerative diseases (including degenerative diseases of the eye and ear). To accomplish this goal, LDDN has recruited a permanent staff of industry-seasoned scientists with expertise in assay development, laboratory automation, informatics, and medicinal chemistry, to work in close collaboration with principal investigators from the academic neuroscience community. In this way, LDDN helps transform discoveries in the basic biology of neurodegeneration into opportunities for drug discovery. (While priority is given to members investigating neurodegenerative diseases and the central nervous system, we welcome inquiries from all investigators.)
Proper citation: HNDC Drug Discovery in Neurodegeneration (RRID:SCR_012680) Copy
https://data.broadinstitute.org/chembank/assay
ChemBank is a public, web-based informatics environment that includes freely available data derived from small molecules and small-molecule screens, and resources for studying the data so that biological and medical insights can be gained. ChemBank is intended to guide chemists synthesizing novel compounds or libraries, to assist biologists searching for small molecules that perturb specific biological pathways, and to catalyze the process by which drug hunters discover new and effective medicines. ChemBank stores an increasingly varied set of cell measurements derived from, among other biological objects, cell lines treated with small molecules. Analysis tools are available and are being developed that allow the relationships between cell states, cell measurements and small molecules to be determined. Currently, ChemBank stores information on hundreds of thousands of small molecules and hundreds of biomedically relevant assays that have been performed at the ICG in collaborations involving biomedical researchers worldwide. These scientists have agreed to perform their experiments in an open data-sharing environment. The goals of ChemBank are to provide life scientists unfettered access to biomedically relevant data and tools heretofore available almost exclusively in the private sector. We intend for ChemBank to be a planning and discovery tool for chemists, biologists, and drug hunters anywhere, with the only necessities being a computer, access to the Internet, and a desire to extract knowledge from public experiments whose greatest value is likely to reside in their collective sum.
Proper citation: ChemBank (RRID:SCR_007592) Copy
http://www.strokedatabase.org/
Database and associated software tools providing access to clinical and research data on stroke, including deidentified patient data. Data types include imaging (e.g. CT, MRI, PET), clinical demographic data, genetic data, simulation perfusion data for verifying deconvolution algorithms used in bolus-tracking perfusion-weighted imaging (PWI). Also available are programs for performing deconvolution of bolus-tracking PWI, DTI tractography and an automated program for etiologic classification of ischemic stroke -- Causative Classification System for Ischemic Stroke (CCS)
Proper citation: International Stroke Database (RRID:SCR_007347) Copy
http://arep.med.harvard.edu/dpinteract/
DPInteract is a database of DNA-binding site matrices. This dataset is being collected with several purposes in mind: 1. Cataloging demonstrated sites and non-sites for E.coli DNA-binding proteins; 2. Aiding the annotation of such sites in other E.coli databases and sequence entries; 3. Interpreting the results of whole-genome in vivo methylation protection experiments; 4. Developing better computational tools for recognizing DNA binding proteins in sequence data.
Proper citation: DPInteract (RRID:SCR_007627) Copy
http://bio.dfci.harvard.edu/DFRMLI/
This repository contains full data from MHCPEP database, and selected data including independent data sets of proteins and protein fragments, non-binding peptides, lists of T-cell epitopes, and recommendations for scaling and comparison of performance of prediction systems. It can be used in conjunction with IEDB data sets for the development of advanced machine learning and pattern recognition solutions.
Proper citation: MHCPEP (RRID:SCR_007786) Copy
http://paradox.harvard.edu/sdr
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A database of predicted specificity-determining residues in protein families. Predicted positions may have been used during evolution to change the function of proteins within a protein family. These positions are excellent targets for mutational studies and should lead to a better understading of protein function. SDR uses the PFAM database of protein domains for sequence alignments and domain definitions as well as the GPCR database for G-protein coupled receptors.
Proper citation: SDR: Specificity-Determining Residues in Protein Families (RRID:SCR_007917) Copy
http://harvard.eagle-i.net/i/0000012e-6e60-8691-55da-381e80000000
Core facility that provides the following services: Website development and hosting for research labs and studies requiring an online presence, interactive functionality, or site traffic tracking.
The Health Communication Core offers a full range of creative communication services to support evidence-based recruitment and retention of study participants and intervention research. HCC serves researchers from diverse disciplines who need websites, logos, brochures, social media campaigns, publications, and interactive media targeted to the needs and preferences of specific audiences.
Proper citation: DF/HCC Health Communication Core (RRID:SCR_000871) Copy
http://www.scienceexchange.com/facilities/bauer-core-laboratory-fas-harvard
Core facility that provides the following services: Liquid handling, Long read sequencing, Cell sorting service, Cell analysis service, Imaging systems service, Microarrays service, Sequencing service, Genotyping service, Fragment analysis, Solexa DNA sequencing service, Solexa gene expression service, Solexa small RNA service, Solexa ChIP-Seq service, Real-time quantitative PCR service, Protein-molecule interaction service, Library replication service, Nucleic acid isolation service, Nucleic acid shearing service, DNA, RNA and protein sample analysis service. Their goal is to advance research efforts in the life sciences that cannot readily be accomplished in the traditional academic laboratory because of a need for expensive instrumentation or automation, scientific or organizational infrastructure, or multidisciplinary expertise. To promote cutting-edge research and to foster scientific collaborations, we make our extensive laboratory and computational resources available to scientists at Harvard. Our technical staff provide expertise and hands-on training in protocols and the use of instrumentation for a nominal fee. Researchers can sign up to use the instrumentation through an on-line scheduling system and conduct their experiments independently.
Proper citation: Harvard FAS Bauer Core Laboratory (RRID:SCR_001031) Copy
http://harvard.eagle-i.net/i/00000137-e19f-9e69-d807-77a880000000
The molecular lab at Weld Hill is well equipped for modern molecular studies, from RNA expression studies to phylogenetic analyses.
Proper citation: Arnold Arboretum of Harvard University: Weld Hill Molecular Lab (RRID:SCR_004781) Copy
http://harvard.eagle-i.net/i/0000012c-6032-ce8f-c437-ff0b80000000
A lab facility that aims to accelerate research in the stem cell field by facilitating the derivation and distribution of induced pluripotent stem cell lines. Disease-specific pluripotent stem cell lines can provide the opportunity to study the mechanisms of disease and develop treatments. The core facility serves as a repository for iPS cells produced by HSCI scientists.
Proper citation: Harvard HSCI iPS Cell Core Facility (RRID:SCR_000880) Copy
https://edspace.american.edu/openbehavior/project/camera-control/
Portal provides Python based camera software GUI developed by Harvard University scientists. Open source software package that allows video to be recorded in sync with behavior. Python API to record video system timestamps from Imaging Source USB cameras.
Proper citation: Camera Control project (RRID:SCR_021569) Copy
http://compbio.dfci.harvard.edu/tgi/ego/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. EGO is a database of eukaryotic gene orthologs generated by pair-wise comparison between the Tentative Consensus (TC) sequences that comprise the Dana Farber Gene Indices from individual organisms.
Proper citation: EGO - Eukaryotic Gene Orthologs (RRID:SCR_000732) 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
http://bionumbers.hms.harvard.edu/
Database of key numbers in molecular and cell biology--the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists. Contents of the database range from cell sizes to metabolite concentrations, from reaction rates to generation times, from genome sizes to the number of mitochondria in a cell. Along with the numbers, you'll find the relevant references to the original literature, useful comments, and related numbers. While always of importance to biologists, having numbers in hand is becoming increasingly critical for experimenting, modeling, and analyzing biological systems. BioNumbers was motivated by an appreciation of how long it can take to find even the simplest number in the vast biological literature. All numbers are taken directly from a literature source and that reference is provided with the number. BioNumbers is designed to be highly searchable and queries can be performed by keywords or browsed by menus. BioNumbers is a collaborative community platform where registered users can add content and make comments on existing data. All new entries and commentary are curated to maintain high quality.
Proper citation: BioNumbers (RRID:SCR_002782) Copy
http://harvard.eagle-i.net/i/0000012b-00c4-1614-db6e-7a3f80000000
Core facility that provides the following services: Magnetic resonance spectrometer training service, Magnetic Resonance Instrument Access. Welcome to the Magnetic Resonance Facility of the Department of Chemistry and Chemical Biology, Harvard University, in the Laukien-Purcell Instrumentation Center.
Proper citation: Harvard FAS Magnetic Resonance Laboratory (RRID:SCR_008476) Copy
http://harvard.eagle-i.net/i/00000137-e1a0-4fec-d807-77a880000000
The Weld Hill Growth Facilities consist of 12 individually controlled greenhouses and several types of Conviron growth chambers for precise control of growing conditions.
Proper citation: Arnold Arboretum of Harvard University: Weld Hill Growth Facilities (RRID:SCR_009649) Copy
http://harvard.eagle-i.net/i/0000012e-5977-000a-55da-381e80000000
The Community Practice Research Core (CPRC) provides DF/HCC investigators access to a racially diverse population of over 11,000,000 patients within the community-based clinical practices of Harvard Vanguard Medical Associates (HVMA)/ Atrius Health, a Boston-based medical specialty group comprised of over 20 office locations across eastern Massachusetts providing care to more than 510,000 adult and pediatric patients; Harvard Pilgrim Health Care (HPHC), one of the largest health maintenance organizations in New England with close to 1,000,000 members and an extensive provider network that includes physicians who practice in a variety of settings; the Cancer Research Network is comprised of 9 health care systems and 6 affiliate sites across the nation with a total membership of 11,000,000 patients. The populations of HVMA/Atrius, HPHC, and the CRN are particularly ideal for studies: (1) involving basic, clinical, and population sciences; (2) addressing diverse communities; (3) investigating dissemination of proven technologies and interventions; (4) requiring large samples of patients and/or providers; (5) involving rare cancers; and (6) of cancer prevention.
Proper citation: DF/HCC Community Practice Research Core (RRID:SCR_009735) Copy
http://harvard.eagle-i.net/i/0000012e-5d8c-a118-55da-381e80000000
Core provides all of the tools of modern functional proteomics. Equipped with technologies for proteomics; protein profiling, protein identification, protein and peptide fractionation, and quantization. Personalized experimental design consultation, comprehensive individualized bioinformatics support. The mission of the DF/HCC Cancer Proteomics Core is to develop a comprehensive and interdisciplinary proteomics core for High Sensitivity, High Resolution and High Throughput Proteomics with particular emphasis on in depth proteomic consultation, referral to the optimal proteomics facility and a strong focus on clinical sample analysis. The core combines consultation, service and education into a comprehensive, translationally and clinically oriented proteomics core.
Proper citation: Dana Farber and Harvard Cancer Center Cancer Proteomics Center (RRID:SCR_009733) 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 dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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 dkNET 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.