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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://cistrome.org

Web based integrative platform for transcriptional regulation studies.

Proper citation: Cistrome (RRID:SCR_000242) Copy   

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http://www.hms.harvard.edu/dms/

The Division of Medical Sciences was established at Harvard University in 1908. The Division was designed to provide students wishing to pursue careers in research and teaching with a broad education in basic biomedical science fields and specialization in one of them. Classroom and laboratory instruction are conducted primarily by the 450 faculty members of the basic sciences departments and affiliated hospital laboratories of the Harvard Medical School (HMS) in Boston. The Ph.D. degree is awarded by the Graduate School of Arts and Sciences (GSAS) of Harvard University. For 100 years, this fruitful collaboration has spawned research achievements across the spectrum from basic science to experimental medicine. Since 1909, over 2,000 Division graduates, including six Nobel Laureates, have gone on to distinguished careers in biomedical research, university teaching, and a number of increasingly diverse careers.

Proper citation: Harvard Medical School Division of Medical Sciences (RRID:SCR_007452) Copy   

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

GoFigure is a software platform for quantitating complex 4d in vivo microscopy based data in high-throughput at the level of the cell. A prime goal of GoFigure is the automatic segmentation of nuclei and cell membranes and in temporally tracking them across cell migration and division to create cell lineages. GoFigure v2.0 is a major new release of our software package for quantitative analysis of image data. The research focuses on analyzing cells in intact, whole zebrafish embryos using 4d (xyzt) imaging which tends to make automatic segmentation more difficult than with 2d or 2d+time imaging of cells in culture. This resource has developed an automatic segmentation pipeline that includes ICA based channel unmixing, membrane nuclear channel subtraction, Gaussian correlation, shape models, and level set based variational active contours. GoFigure was designed to meet the challenging requirements of in toto imaging. In toto imaging is a technology that we are developing in which we seek to track all the cell movements and divisions that form structures during embryonic development of zebrafish and to quantitate protein expression and localization on top of this digital lineage. For in toto imaging, GoFigure uses zebrafish embryos in which the nuclei and cell membranes have been marked with 2 different color fluorescent proteins to allow cells to be segmented and tracked. A transgenic line in a third color can be used to mark protein expression and localization using a genetic approach that this resource developed called FlipTraps or using traditional transgenic approaches. Embryos are imaged using confocal or 2-photon microscopy to capture high-resolution xyzt image sets used for cell tracking. The GoFigure GUI will provide many tools for visualization and analysis of bioimages. Since fully automatic segmentation of cells is never perfect, GoFigure will provide easy to use tools for semi-automatically and manually adding, deleting, and editing traces in 2d (figures-xy, xz, or yz), 3d (meshes- xyz), 4d (tracks- xyzt) and 4d+cell division (lineages). GoFigure will also provide a number of views into complex image data sets including 3d XYZ and XYT image views, tabular list views of traces, histograms, and scattergrams. Importantly, all these views will be linked together to allow the user to explore their data from multiple angles. Data will be easily sorted and color-coded in many ways to explore correlations in higher dimensional data. The GoFigure architecture is designed to allow additional segmentation, visualization, and analysis filters to be plugged in. Sponsors: GoFigure is developed by Harvard University., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Harvard Medical School, Department of Systems Biology: The Megason Lab -GoFigure Software (RRID:SCR_008037) Copy   

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http://www.hms.harvard.edu/NEPRC/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. A center that focuses on performing bio-medical research on nonhuman primates to aid in human health research. The center also focuses on training young scientists for professional careers in bio-medical research and primate biology. One of the New England Primate Research School's main accomplishments was the creation of an animal model for AIDS that first demonstrated that vaccine protection could be possible. Recent research has led to the development of novel agents for brain imaging that will aid in the diagnosis and treatment of Parkinson's disease.

Proper citation: New England Primate Research School (RRID:SCR_008290) Copy   

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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://benchling.com

An online resource which helps researchers manage and organize labs and experimental results by supplying molecular biology software tools for experimental design and data analysis. Benchling provides tools for functions such as primer design and colony counting as well as CRISPR guide design and automated Gibson and Golden Gate cloning. Users can take notes in line with data, link data across entries, keep files and data in one place, and manage and keep track of team progress. An enterprise version of Benchling is available for scientists working within an organization with additional administrative, compliance, and security protocols.

Proper citation: Benchling (RRID:SCR_013955) Copy   

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http://direct2experts.org

An on-going project and collaboration tool where biomedical researchers can access to expertise and related resources across institutions, regardless of local platforms and tools. Users can work with participating institutions in order to connect to their existing research networking tools. Biomedical institutions that wish to participate must have a mature, deployed research networking tool and can commit resources to assessments.

Proper citation: DIRECT2experts (RRID:SCR_013958) Copy   

•   Source: SciCrunch Registry
  

http://www.genomecompiler.com

A software platform which enables users to conduct genetic engineering with genomic manipulation tools (provided in the platform). Genome Compiler includes multiple DNA synthesis providers, lab facility services, and advanced bioinformatics tools and genetic repositories. Data can be imported from VectorNTI, SnapGene, ApE, Clone Manager, and others. The Gibson Assembly and Restriction Ligation methods are supported by Genome Compiler.

Proper citation: GenomeCompiler (RRID:SCR_013988) Copy   

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http://compbio.mit.edu/cummeRbund/index.html

Software R package used for simplifying and analyzing Cufflink RNA-Seq output. This program takes various output files from a cuffdiff run and creates a SQLite database of the results that will describe the appropriate relationships between the genes, transcripts, transcription start sites and CDS regions.

Proper citation: CummeRbund (RRID:SCR_014568) 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://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
  

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   

•   Source: SciCrunch Registry
  

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   

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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   

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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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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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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   

•   Source: SciCrunch Registry