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https://joslinresearch.org

Diabetes research center which provides patient care and performs diabetes research. Its primary aim is to provide a facilitating framework for conducting multi-disciplinary basic and clinical research and to encourage the scientific development of young investigators.

Proper citation: Joslin Diabetes Center (RRID:SCR_009019) Copy   

•   Source: SciCrunch Registry
  

http://www.scienceexchange.com/facilities/harvard-university

An Portal, Core facility

Proper citation: Harvard University Labs and Facilities (RRID:SCR_012368) Copy   

•   Source: SciCrunch Registry
  

http://cistrome.org

Web based integrative platform for transcriptional regulation studies.

Proper citation: Cistrome (RRID:SCR_000242) Copy   

•   Source: SciCrunch Registry
  

http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases

Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School.

Proper citation: Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) Copy   

•   Source: SciCrunch Registry
  

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   

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https://bitbucket.org/biobakery/biobakery/wiki/Home

Analysis environment and collection of individual software tools to process raw shotgun metagenome or metatranscriptome sequencing data for quantitative microbial community profiling. Used for a metaomics data analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: biobakery (RRID:SCR_016596) Copy   

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http://pklab.med.harvard.edu/scde/pagoda.links.html

Software tool for analyzing transcriptional heterogeneity to detect statistically significant ways in which measured cells can be classified. Used to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells.

Proper citation: PAGODA (RRID:SCR_017099) Copy   

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http://trackvis.org/dtk/

Software as set of commandline tools with GUI frontend that performs data reconstruction and fiber tracking on diffusion MR images. It does preparation work for TrackVis. Software Package for diffusion imaging data processing and tractography.

Proper citation: Diffusion Toolkit (RRID:SCR_017345) Copy   

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https://www.authorea.com/

Online word processor for scientific and scholarly papers. Write, share, cite, comment, export, and track changes of articles in one place.

Proper citation: Authorea (RRID:SCR_002547) Copy   

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http://www.oeb.harvard.edu/faculty/hartl/old_site/lab/publications/GeneMerge.html

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Web-based and standalone application that returns a wide range of functional genomic data for a given set of study genes and provides rank scores for over-representation of particular functions or categories in the data. It uses the hypergeometric test statistic which returns statistically correct results for samples of all sizes and is the #2 fastest GO tool available (Khatri and Draghici, 2005). GeneMerge can be used with any discrete, locus-based annotation data, including, literature references, genetic interactions, mutant phenotypes as well as traditional Gene Ontology queries. GeneMerge is particularly useful for the analysis of microarray data and other large biological datasets. The big advantage of GeneMerge over other similar programs is that you are not limited to analyzing your data from the perspective of a pre-packaged set of gene-association data. You can download or create gene-association files to analyze your data from an unlimited number of perspectives. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: GeneMerge (RRID:SCR_005744) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

https://fgr.hms.harvard.edu/

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   

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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   

•   Source: SciCrunch Registry
  

https://kleintools.hms.harvard.edu/tools/spring.html

Interactive web tool to visualize single cell data using force directed graph layouts. Kinetic interface for visualizing high dimensional single cell expression data. Collection of pre-processing scripts and web browser based tool for visualizing and interacting with high dimensional data.

Proper citation: SPRING (RRID:SCR_023578) Copy   

•   Source: SciCrunch Registry
  

https://marks.hms.harvard.edu/sars-cov-2/

Portal for quantitative models using virus sequence variation to predict mutation effects for SARS-CoV-2 proteins, alignments to homologs in other viruses, 3D structures, evolutionarily coupled residues and structure predictions.

Proper citation: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation (RRID:SCR_018759) Copy   

•   Source: SciCrunch Registry
  

http://www.hms.harvard.edu/research/brain/atlas.html

2D mouse brain atlas of high quality coronal Nissl- and myelin-stained sections with labels, 3D images of hippocampal formation and limited other brain structures. The data for this digital atlas are based on the Atlas of the Mouse Brain and Spinal Cord, authored by Richard L. Sidman, Jay. B. Angevine and Elizabeth Taber Pierce, published as a hard cover book by Harvard University Press in 1971 and currently out of print. C57BL/6J strain adult specimens were used in creating the atlas.

Proper citation: High Resolution Mouse Brain Atlas (RRID:SCR_006063) Copy   

•   Source: SciCrunch Registry
  

http://antibodyregistry.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. It was integrated with Antibody Registry. The JCN antibody database is a listing of all antibodies used in JCN papers from 2006 onward. The catalog numbers and vendor information is included for all antibodies listed, and with a new collaboration with NIF''''s AntibodyRegistry, a unique identifier is also listed for each antibody. The Journal of Comparative Neurology requires rigorous characterization for all antibodies that are used in JCN papers. The antibodies in the The Journal of Comparative Neurology antibody database have in nearly all cases been described and characterized adequately according to the provided guidelines. This information can be used to identify a particular target immunohistochemically or to design an experiment using the antibody information. If you are looking for an antibody to identify a particular target immunohistochemically, this list is a good place to begin your search. We suggest you then look up the paper in which the antibody was used, to make sure that it will meet your needs and to verify its characterization. (The characterization of antibodies in JCN papers often goes well beyond the material published by the manufacturer, so that examining this information before you order an antibody can be very useful.) While we do not guarantee that these antibodies will identify only the intended target (that is a function of the actual experiment and controls), this is the most carefully verified list of antibodies that we are aware of, and we wanted to share this resource with our readers and authors.

Proper citation: Journal of Comparative Neurology Antibody database (RRID:SCR_006470) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry