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Software toolkit for analyzing spatial molecular data. Underlying framework is generalizable to spatial datasets mapped to XY coordinates. Package uses anndata framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. Python based implementation efficiently deals with large datasets of millions of cells.
Proper citation: scimap (RRID:SCR_024751) Copy
Web application to discover resources available at participating networked universities. This distributed platform for creating and sharing semantically rich data is built around semantic web technologies and follows linked open data principles.
Proper citation: Eagle I (RRID:SCR_013153) Copy
http://paradox.harvard.edu/sdr
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A database of predicted specificity-determining residues in protein families. Predicted positions may have been used during evolution to change the function of proteins within a protein family. These positions are excellent targets for mutational studies and should lead to a better understading of protein function. SDR uses the PFAM database of protein domains for sequence alignments and domain definitions as well as the GPCR database for G-protein coupled receptors.
Proper citation: SDR: Specificity-Determining Residues in Protein Families (RRID:SCR_007917) Copy
http://harvard.eagle-i.net/i/0000013e-5708-120e-7db7-114480000000
The Core''s capabilities include six Computer Numerical Control (CNC) milling centers (one of which is a five-axis micro-milling machine), two 3D printers, a waterjet cutter, a laser cutter, and a sinker Electrical Discharge Machining (EDM) tool. The Core has three full time machinists with experience in both industrial and academic machine shops, creating prototypes for varied applications. In addition to fabrication, these experts help researchers during the design phase, enabling development from a simple concept into real prototypes.
Proper citation: Wyss Institute Machine Shop / 3D Prototyping Core (RRID:SCR_010212) Copy
http://harvard.eagle-i.net/i/00000137-b920-a047-d807-77a880000000
The Wyss Institute Materials Characterization Core is dedicated to promoting leading edge biologically inspired research by providing users with a wide range of state-of-the-art materials characterization equipment and analysis software. These tools help support the characterization of a material?s unique physical, chemical, and mechanical properties. The Materials Characterization Core team provides exceptional hands on training, method development, and technical expertise. We also proactively stride to introduce the latest innovations in materials characterization to the Wyss Institute community and our affiliated partners. Our current techniques include chromatography, mass spectrometry, UV-Vis spectroscopy, particle sizing, quartz crystal microbalance, electrochemical testing, rheology, and nanoindentation.
Proper citation: Wyss Institute Materials Characterization Core (RRID:SCR_010213) Copy
http://www.neurodiscovery.harvard.edu/research/lddn_2.html
Core facility that provides the following services: Assay design and development service. The NeuroDiscovery Center''''s Laboratory for Drug Discovery in Neurodegeneration (LDDN) was established to discover chemical agents from which we and others will develop a new generation of drugs to treat neurodegenerative diseases (including degenerative diseases of the eye and ear). To accomplish this goal, LDDN has recruited a permanent staff of industry-seasoned scientists with expertise in assay development, laboratory automation, informatics, and medicinal chemistry, to work in close collaboration with principal investigators from the academic neuroscience community. In this way, LDDN helps transform discoveries in the basic biology of neurodegeneration into opportunities for drug discovery. (While priority is given to members investigating neurodegenerative diseases and the central nervous system, we welcome inquiries from all investigators.)
Proper citation: HNDC Drug Discovery in Neurodegeneration (RRID:SCR_012680) Copy
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