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http://harvard.eagle-i.net/i/0000012e-5e6d-9119-55da-381e80000000

The Flow and Imaging Cytometry Resource provides research flow and imaging cytometry services to all investigators in the PCIMM at Children''s Hospital, Boston and Immune Disease Institute, HMS and the local scientific community on a case-by-case basis. With state of the art instrumentation, such as the standard configuration 3-lasers FACSAria located in BL2+-facility, 20-parameters 4-lasers FACSAria SORP and DIVA FACSVantage SE TurboSort?, the facility offers high speed cell sorting and complex analytical services, development of collaborative projects as well as consulting on design and development of new protocols and methods.

Proper citation: Harvard PCMM Flow and Imaging Cytometry Resource (RRID:SCR_009839) Copy   

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http://harvard.eagle-i.net/i/0000012e-0220-1cee-b2b9-4d8780000000

Core facility that provides the following services: Illumina Gene Expression, Affymetrix gene expression. The Partners HealthCare Center for Personalized Genetic Medicine Microarray Facility is a full service facility dedicated to providing analysis for DNA or RNA samples. We provide support for high density microarrays to the Harvard Partners research community, including Harvard medical School, hospitals in the Partners Healthcare network, investigators in the Dana-Farber/Harvard Cancer Center, and the Harvard School of Public Health. Our services are open to both the PHS and non-PHS community.

Proper citation: Harvard PCPGM Microarray Facility (RRID:SCR_009860) Copy   

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http://harvard.eagle-i.net/i/00000139-928e-36d0-f016-703c80000000

The Biostatistics Core serves the needs of the HIV/AIDS researchers within the Ragon Institute and its affiliates. In particular, members of the Biostatistics Core provide expertise in the planning, conduct and analysis of research with the goal of enhancing the scientific quality of HIV-related research at the institute. The primary objective of the core is to ensure that studies are well designed, correctly analyzed, clearly presented, and correctly interpreted.

Proper citation: Ragon Institute Biostatistics Core (RRID:SCR_010055) Copy   

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http://harvard.eagle-i.net/i/0000012e-5eed-e0fd-55da-381e80000000

Core facility that provides the following services: Coulter XL flow analysis, Cytomation MoFlo cell sorting, LaserScan Cytometry, BD Biosciences LSR II flow cytometry analysis, Flow cytometry data analysis. The Flow Cytometry Facility is a core facility of Schepens Eye Research Institute that provides fluorescent-based cell analysis and sorting to Boston area biomedical researchers.

Proper citation: SERI Flow Cytometry Core Facility (RRID:SCR_010059) Copy   

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http://ctsaconnect.org/

THIS RESOURCE IS NO LONGER IS SERVICE. Documented on December 5th, 2022. Semantic framework to integrate information about research activities, clinical activities, and scientific resources to facilitate the production and consumption of Linked Open Data about investigators, physicians, biomedical research resources, services, and clinical activities. The goal is to enable software to consume data from multiple sources and allow the broadest possible representation of researchers'''' and clinicians'''' activities and research products. Current research tracking and networking systems rely largely on publications, but clinical encounters, reagents, techniques, specimens, model organisms, etc., are equally valuable for representing expertise. CTSAConnect will provide linkage between semantic representations of a wide range of clinical and research data using controlled vocabularies mapped to the Unified Medical Language System (UMLS) as a bridge between the two subject areas. The data sources include data from Medicaid, hospital billing systems, CTSAShareCenter, and other CTSA resource data, eagle-i and VIVO. It allows institutions to leverage existing tools and data sources by making the information they contain more discoverable and easier to integrate. For instance, with the ISF, researchers can be characterized by organizational affiliations, grant and project participation, research resources that they have generated, and publications that they have (co)-authored. Clinicians can be characterized by training and credentials, by clinical research topic, and by the kinds of procedures and specialization that can be inferred from encounter data. LOD refers to data that has been given a specific Uniform Resource Identifier (URI), for the purpose of sharing and linking data and information on the Semantic Web. While a large amount of data is published as LOD, there remains a significant gap in the representation of research resources and clinical expertise. Researchers can be characterized by the organization to which they belong, the grants and research in which they have participated, the research topics and research resources (reagents, biospecimens, animal models) they have generated, as well as the publications they have (co)-authored. Clinician profiles on the other hand, can be defined by their credentials, clinical research topics, and the kinds of procedures and specialization that can be inferred from clinical encounter data. They believe that integrating and relating this diversity of information sources and platforms requires addressing the overlap between research resources and the attributes and activities of researchers and clinicians. CTSAconnect aims to promote integration and discovery of research activities, resources, and clinical expertise. To this end, they will publish their ontologies and LOD via their website, which will also illustrate repeatable methods and examples of how to extract, consume, and utilize this valuable new LOD using freely available tools like VIVO, eagle-i, and Google APIs. CTSAconnect is a collaboration between Oregon Health & Science University, Stony Brook University, Cornell University, Harvard University, University at Buffalo, and the University of Florida, and leverages the work of eagle-i (eagle-i.net), VIVO (vivoweb.org), and ShareCenter (ctsasharecenter.org).

Proper citation: CTSAconnect (RRID:SCR_005225) Copy   

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http://slicer.org/

A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl.

Proper citation: 3D Slicer (RRID:SCR_005619) Copy   

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https://www.tissue-atlas.org/

Gathers together imaging and omic datasets into molecular maps of normal and diseased tissue from human and animal models, with emphasis on cancer. Used to access datasets, educational curriculum and talks, and recommended methods and software.

Proper citation: Harvard Tissue Atlas (RRID:SCR_022829) Copy   

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http://www.people.fas.harvard.edu/~junliu/em/em.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A haplotype inference program.

Proper citation: EM-DECODER (RRID:SCR_000023) Copy   

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https://nar.oxfordjournals.org/content/35/suppl_1/D322.full-text-lowres.pdf

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The GO Partition Database was designed to feature ontology partitions with GO terms of similar specificity. The GO partitions comprise varying numbers of nodes and present relevant information theoretic statistics, so researchers can choose to analyze datasets at arbitrary levels of specificity. The GO Partition Database, featuring GO partition sets for functional analysis of genes from human and ten other commonly-studied organisms with a total of 131,972 genes.

Proper citation: Gene Ontology Partition Database (RRID:SCR_007693) Copy   

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http://HIVBrainSeqDB.org

The HIV Brain Sequence Database (HIVBrainSeqDB) is a public database of HIV envelope sequences, directly sequenced from brain and other tissues from the same patients. For inclusion in the database, sequences must: (i) be deposited in Genbank; (ii) include some portion of the HIV env region; (iii) be clonal, amplified directly from tissue; and (iv) be sampled from the brain, or sampled from a patient for which the database already contains brain sequence. Sequences are annotated with clinical data including viral load, CD4 count, antiretroviral status, neurocognitive impairment, and neuropathological diagnosis, all curated from the original publication. Tissue source is coded using an anatomical ontology, the Foundational Model of Anatomy, to capture the maximum level of detail available, while maintaining ontological relationships between tissues and their subparts. 44 tissue types are represented within the database, grouped into 4 categories: (i) brain, brainstem, and spinal cord; (ii) meninges, choroid plexus, and CSF; (iii) blood and lymphoid; and (iv) other (bone marrow, colon, lung, liver, etc). Currently, the database contains 2517 envelope sequences from 90 patients, obtained from 22 published studies. 1272 sequences are from brain; the remaining 1245 are from blood, lymph node, spleen, bone marrow, colon, lung and other non-brain tissues. The database interface utilizes a faceted interface, allowing real-time combination of multiple search parameters to assemble a meta-dataset, which can be downloaded for further analysis. This online resource will greatly facilitate analysis of the genetic aspects of HIV macrophage tropism, HIV compartmentalization and evolution within the brain and other tissue reservoirs, and the relationship of these findings to HIV-associated neurological disorders and other clinical consequences of HIV infection.

Proper citation: HIV Brain Sequence Database (RRID:SCR_008819) Copy   

•   Source: SciCrunch Registry
  

https://github.com/QTIM-Lab/DeepNeuro

Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners.

Proper citation: DeepNeuro (RRID:SCR_016911) Copy   

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https://github.com/DReichLab/AdmixTools

Software package that supports formal tests of whether admixture occurred, and makes it possible to infer admixture proportions and dates.

Proper citation: ADMIXTOOLS (RRID:SCR_018495) Copy   

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http://harvard.eagle-i.net/i/0000012c-7441-2a90-c437-ff0b80000000

Core facility that provides the following services: Tissue trimming, cassetting, processing, and embedding, Cutting and staining of paraffin-embedded and cryostat sections, Immunohistochemistry for both routine and novel markers, In situ hybridization, using chromogenic or radioactive detection methods, Laser capture microdissection.

Tissue analysis is critical to validation and evaluation of animal models of human cancer, and human cancer tissues serve as the operating system for translational research. The facility supports a wide spectrum of cancer-relevant research, from basic studies on pathogenic mechanisms in cancer to translational research focused on the development of new tests for biomarkers that stratify patients and direct therapy. The Specialized Histopathology (SHP) Core, was created in 2005 by consolidating five histopathology cores into a single unit with two performance sites: Longwood, Directed by Jon Aster and based at the Brigham and Women?s Hospital and MGH, Directed by Anat Stemmer-Rachamimov and based at Massachusetts General Hospital East in Charlestown. The SHP Core provides professional and technical research pathology services to DF/HCC investigators working in diverse organisms (e.g., rodents, fish, and monkeys) or human tissues. The Core also assists in experimental design and the development and interpretation of tests and their results. As of July 2012, the Longwood site offers CLIA Certified services.

Proper citation: DF/HCC Specialized Histopathology Services Core (RRID:SCR_000872) Copy   

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http://wyss.harvard.edu/viewpage/594/

A core facility with access to imaging equipment and analysis software such as wide-field light microscopy, Total Internal Reflection Fluorescence microscopy (TIRF), confocal microscopy, Atomic Force Microscopy (AFM), Transmission Electron Microscopy (TEM), small animal imaging, spectroscopy, and flow cytometry.

Proper citation: Wyss Institute Imaging Core (RRID:SCR_000898) Copy   

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http://writefullapp.com

A software application which provides feedback on writing, wording, and frequency of text by checking against databases of correct language. Users can highlight a chunk of text and use Writefull to see how often the specific text appears in different language databases. Writefull can also offer synonyms and suggestions for wording. Writefull is supported by numerous writing tools which include MS Word and Gmail.

Proper citation: Writefull (RRID:SCR_014006) Copy   

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http://www.broadinstitute.org/

Biomedical and genomic research center located in Cambridge, Massachusetts, United States. Nonprofit research organization under the name Broad Institute Inc., and is partners with Massachusetts Institute of Technology, Harvard University, and the five Harvard teaching hospitals. Dedicated to advance understanding of biology and treatment of human disease to improve human health.

Proper citation: Broad Institute (RRID:SCR_007073) Copy   

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http://www.strokedatabase.org/pages/software.html

Diffusion tensor imaging (DTI) tractography: An automated system for etiologic classification of ischemic stroke -- Causative Classification System for Ischemic Stroke DTI Task Card for Siemens systems, DTI Visualization platform independent tool kit, PWI analysis tools for bolus-tracking data

Proper citation: International Stroke Database/Software (RRID:SCR_007348) Copy   

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https://ccsp.hms.harvard.edu/

Center includes studies for responsiveness and resistance to anti cancer drugs. Committed to training students and postdocs, promoting junior faculty and ensuring that data and software are reproducible, reliable and publicly accessible. Member of National Cancer Institute’s Cancer Systems Biology Consortium.

Proper citation: Harvard Medical School Center for Cancer Systems Pharmacology (RRID:SCR_022831) Copy   

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https://atgu.mgh.harvard.edu/plinkseq/

An open-source C/C++ library for working with human genetic variation data. The specific focus is to provide a platform for analytic tool development for variation data from large-scale resequencing projects, particularly whole-exome and whole-genome studies. However, the library could in principle be applied to other types of genetic studies, including whole-genome association studies of common SNPs. (entry from Genetic Analysis Software)

Proper citation: PLINK/SEQ (RRID:SCR_013193) Copy   

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https://bitbucket.org/nsegata/graphlan/wiki/Home

Software tool for producing high-quality circular representations of taxonomic and phylogenetic trees. Used for concise, integrative, informative, and publication-ready representations of phylogenetically- and taxonomically-driven investigation as a high-resolution microbial tree of life with taxonomic annotations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GraPhlAn (RRID:SCR_016130) Copy   

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