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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://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://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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   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

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

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   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://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://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

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

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://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   

•   Source: SciCrunch Registry