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http://harvard.eagle-i.net/i/0000012f-e9f0-3cf3-de5a-673e80000000

CBS houses a core facility with a transmission electron microscope (TEM) and several scanning electron microscopes. The SEMs are part of ongoing research that will lead to a three-dimensional electron microscopy facility, to image neural circuits with the highest possible resolution.

Proper citation: Harvard FAS Center for Brain Science - Electron Microscopy Core Facility (RRID:SCR_009838) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

https://www.dfhcc.harvard.edu/research/core-facilities/tumor-imaging-metrics

Core provides centralized, standardized, accurate, consistent, and timely longitudinal, multimodality anatomic, volumetric and functional tumor metrics including CT, MR, PET/CT and other nuclear medicine imaging studies to evaluate therapeutic response for patients enrolled in DF/HCC oncologic clinical trials. TIMC supports more than 30 tumor response assessment criteria including but not limited to RECIST 1.1, iRECIST, Lugano, LYRIC, IWCLL and RANO. Results of tumor metric analyses are offered on password-protected secure web-based report.

Proper citation: Harvard Tumor Imaging Metrics Core Facility (RRID:SCR_012298) Copy   

•   Source: SciCrunch Registry
  

http://www.schepens.harvard.edu/graphics

Core facility that provides the following services: Web and graphic services, Web design and content management service, Photography service. Peter Mallen is a designer and illustrator who manages a full-service web and graphics studio in a moderately sized scientific research facility, Schepens Eye Research Institute. He provides a full range of graphic design, scientific illustration, web design and development, content management, and general design and production services. His products are utilized by: faculty and scientific staff (books, scientific publications, slide shows, grant applications); professional staff (Administration, Development & Public Affairs; brochures, books, pamphlets); the general public (Institute websites) as well as clients of our 250-seat state-of-the-art conference center, Starr Center for Scientific Communications.

Proper citation: Harvard SERI Graphic Services Core (RRID:SCR_012309) Copy   

•   Source: SciCrunch Registry
  

https://hddc.hms.harvard.edu/gnotobiotics-microbiology-and-metagenomics

Core facility that assists investigators evaluating host microbiota and its role in normal physiology and disease. It includes a number of resources for groups studying the role of the microbiota in human health and disease.

Proper citation: Harvard Digestive Diseases Center Biomedical CORE D: Gnotobiotic Mice, Microbiology and Metagenomics (RRID:SCR_012319) Copy   

•   Source: SciCrunch Registry
  

https://bauercore.fas.harvard.edu/

Helps to advance research efforts in life sciences that cannot readily be accomplished in the traditional academic laboratory because of need for expensive instrumentation or automation, scientific or organizational infrastructure, or multidisciplinary expertise. Provides expertise and hands-on training and use of instrumentation for nominal fee. Researchers can sign up to use instrumentation through on-line scheduling system and conduct their experiments independently.

Proper citation: Harvard University Bauer Core Facility (RRID:SCR_022656) Copy   

•   Source: SciCrunch Registry
  

https://github.com/dattalab/moseq2-app

Software application as starting point to MoSeq2 package suite. Unsupervised machine learning method which takes inputs from depth cameras in 3D and transforms them into different behavioral motifs which called syllables. Used to extract mouse pose from depth video and model how pose evolves over time.

Proper citation: moseq2-app (RRID:SCR_025031) Copy   

•   Source: SciCrunch Registry
  

https://bioinformatics.sph.harvard.edu/

Provides single point of contact for Harvard researchers interested in bioinformatics support, applying genomic approaches together with established and developing methodologies from epidemiology, environmental health, biostatistics and bioinformatics to improve human health.Services include analysis all types of next-generation sequencing data from RNA-seq and single cell RNA-seq to variant sequencing (exome or whole genome), to ChIP-seq or bisulfite sequencing. Offers bioinformatics training program for Harvard researchers interested in learning basic data skills and analysis of high-throughput sequencing data.

Proper citation: Harvard University Chan School of Public Health Bioinformatics Core Facility (RRID:SCR_025373) Copy   

•   Source: SciCrunch Registry
  

https://venomsbase-dashboard.shinyapps.io/VenomLanding/

Open-access, browser-based visualization and summary tool for venom transcriptomic and proteomic data. R Shiny–based interactive application designed as visualization and reporting interface for venom transcriptomic and proteomic data. It enables users to explore annotation metrics, toxin gene families, and quality-control summaries generated by analysis pipelines. While it will eventually serve as part of the VenomsBase front end, VenomView currently operates as standalone prototype. Provides interactive dashboards showing assembly quality, annotation scores, toxin gene families, and functional domains generated by the VenomFlow analysis pipeline. Connected to VenomLanding, VenomView currently features Doryteuthis pealeii (Squid), linking metadata with detailed annotation summaries. The expanded version will include Sepia bandensis (Cuttlefish), Octopus bimaculoides, and arachnid species.

Proper citation: VenomView (RRID:SCR_027588) Copy   

•   Source: SciCrunch Registry
  

http://flybase.org/

Database of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar.

Proper citation: FlyBase (RRID:SCR_006549) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/

Software repository for comparing structural (MRI) and functional neuroimaging (fMRI, PET, EEG, MEG) software tools and resources. NITRC collects and points to standardized information about structural or functional neuroimaging tool or resource.

Proper citation: NeuroImaging Tools and Resources Collaboratory (NITRC) (RRID:SCR_003430) Copy   

•   Source: SciCrunch Registry
  

https://www.writelatex.com

A collaboration tool which allows users to edit and publish scientific articles and papers. Overleaf utilizes the convenience of an easy-to-use WYSIWYG manuscript editor with real-time collaboration and structured, fully typeset output produced automatically. Authors can publish immediately and directly to their journal of choice while publishers can reduce their editorial and review turnaround times with powerful change tracking, commenting, and project lifecycle management features. It was formerly known as writeLaTex but changed its name to Overleaf in 2015.

Proper citation: Overleaf (RRID:SCR_003232) Copy   

•   Source: SciCrunch Registry
  

https://wiki.med.harvard.edu/SysBio/Megason/MegaCapture

MegaCapture is a VisualBasic macro developed for automating the acquisition of in toto image sets. It is useable on Zeiss microscopes using LSM v4.x software (pre-Zen). MegaCapture can automatically acquire image sets across any combination of dimensions including x, y, z, time, color, x-tile, y-tile, row, and column. Images are exported on the fly and can be compressed allowing very large (100,000 images) image sets to be captured. Sponsors: MegaCapture is supported by Harvard University.

Proper citation: Harvard Medical School, Department of Systems Biology: The Megason Lab - MegaCapture Software (RRID:SCR_001732) 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://genetics.bwh.harvard.edu/pph2/

Software tool which predicts possible impact of amino acid substitution on structure and function of human protein using straightforward physical and comparative considerations. PolyPhen-2 is new development of PolyPhen tool for annotating coding nonsynonymous SNPs.

Proper citation: PolyPhen: Polymorphism Phenotyping (RRID:SCR_013189) Copy   

•   Source: SciCrunch Registry
  

https://www.readcube.com

A software resource application which organizes research literature. Users can import PDF articles into the application and create a searchable library. ReadCube enables users to perform keyword searches and provides references as well as note-taking tools. ReadCube also recommends articles to users based on library contents. For publishers, ReadCube enables interactive PDF versions of articles with tools for readers to make notes or perform author and keyword searches.

Proper citation: ReadCube (RRID:SCR_013777) Copy   

•   Source: SciCrunch Registry
  

http://www.hsph.harvard.edu/cli/complab/dchip/

Sponsor:
support is NIH grant R01 GM077122
National Institutes of Health, Claudia Adams Barr Program, and Friends of DFCI.
We are interested in how genomics changes promote cancer progression. Through collaboration with biomedical researchers, we analyze high-throughput microarray and sequencing data to study genomics, expression, and network changes in cancer cells. New methods are packaged into widely-used software such as dChip, which has been cited more than 1600 times.

Proper citation: Cheng Li Lab of Computational Genomics (RRID:SCR_008613) Copy   

•   Source: SciCrunch Registry