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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.med.uvm.edu/vigr/home
Core provides services for Experimental Design, Metagenomics, Comparative Expression Analyses, Variant Analyses, and Systems Biology. Overarching umbrella encompassing four distinct shared resource facility arms: DNA Analysis,Microarray,Massively Parallel Sequencing Facilities,Bioinformatics Shared Resource.
Proper citation: University of Vermont Integrative Genomics Resource Core Facility (RRID:SCR_021775) Copy
https://www.unmc.edu/vcr/cores/vcr-cores/confocal-microscopy/index.html
Facility houses imaging technologies ranging from super resolution (~ 0.120 um to 0.020 um) to microscopic (~ 0.300 um) to mesoscopic (~ 1 um) biomedical imaging. Imaging specialists provide training and/or actively assist researchers collecting images across imaging instrumentation. Instrumentation includes Zeiss ELYRA PS.1 is inverted microscope for super resolution (SR) structured illumination microscopy (SIM) and single molecule localization microscopy (SMLM) including, PhotoActivated Localization Microscopy (PALM) using photo switchable/convertible fluorescent proteins, Total Internal Reflection Fluorescence (TIRF) and STochastic Optical Reconstruction Microscopy (STORM);Zeiss 800 CLSM with Airyscan is an inverted microscope dramatically increasing conventional confocal image resolution to ~180 nm using Airyscan technology; Zeiss 710 LSM is inverted microscope supporting most basic imaging applications, multi channel and spectral, co localization, live cell, 3D, and time series imaging; Zeiss Celldiscoverer 7 is widefield imaging system for automated, time lapse imaging of live samples; Zeiss Axioscan 7 is high performance whole slide scanning system for fluorescence, brightfield, and polarization imaging;Miltenyi Biotec Ultramicroscope II Light Sheet fluorescence microscope (LSFM) extends fluorescent imaging into true 3D, large scale volumetric imaging of intact tissues, organs, and small organisms. AMCF also houses several high-end data analysis workstations with premier image analysis software including HALO (Indica Labs) and IMARIS (Oxford Instruments) facilitating data rendering, analyses, and presentation options.
Proper citation: University of Nebraska Medical Center Advanced Microscopy Core Facility (RRID:SCR_022467) Copy
https://github.com/protofilamentdude/Protofilament-Bending-Models
Code is written to be run with Matlab version r2020b or higher. Model accepts wave assay pulse amplitude data, and simultaneously solves and fits protofilament deflection models to deduce fundamental biophysical properties of microtubule protofilaments.
Proper citation: Protofilament Bending Models (RRID:SCR_023062) Copy
https://github.com/caraweisman/abSENSE
Software to interpret undetected homolog.Method that calculates probability that homolog of given gene would fail to be detected by homology search in given species, even if homolog were present and evolving normally.
Proper citation: abSENSE (RRID:SCR_023223) Copy
https://github.com/compbiolabucf/PTNet
Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.
Proper citation: PTNet (RRID:SCR_022975) Copy
https://med.unr.edu/research/core-facilities-centers/high-spatial-temporal-resolution-imaging-core
Core provides high spatial and temporal resolution imaging methodologies and instrumentation for studying cellular structure, signaling pathways, and function in health and disease. Offers education, training and expertise in advising investigators in the use of the new technologies.
Proper citation: University of Nevada Reno School of Medicine High Spatial and Temporal Resolution Imaging Core Facility (RRID:SCR_024793) Copy
Web biological metadata server to view, store, and share your sample metadata in form of Portable Encapsulated Projects. PEPhub takes advantage of PEP biological metadata standard to store, edit, and access your PEPs in one place. Components include database where PEPs are stored; API to programmatically read and write PEPs in database; web based user interface to view and manage these PEPs via front end.
Proper citation: PEPhub (RRID:SCR_024892) Copy
Web and command-line application to identify proteins with prion-like amino acid composition. Searches protein sequences to identify probable prion subsequences using hidden-Markov model algorithm.
Proper citation: PLAAC (RRID:SCR_024973) Copy
Software tool for analysis of non-covalent interactions in molecular dynamics trajectories. Implemented in Python and is universally applicable to any kind of MD trajectory supported by MDAnalysis package.
Proper citation: PyContact (RRID:SCR_025066) Copy
Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.
Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy
https://pypi.org/project/SpaGCN/
Software graph convolutional network to integrate gene expression and histology to identify spatial domains and spatially variable genes. SpaGCN integrates information from gene.
Proper citation: SpaGCN (RRID:SCR_025978) Copy
https://github.com/zhouhj1994/LinDA
Software linear models for differential abundance analysis of microbiome compositional data. Used to tackle compositional effects in differential abundance analysis. It fits linear regression models on centered log2-ratio transformed data, identifies bias term due to transformation and compositional effect, and corrects bias using mode of regression coefficients. It could fit mixed-effect models.
Proper citation: LinDA (RRID:SCR_025966) Copy
https://autodocksuite.scripps.edu/adt/
Software graphical user interface to help to set up which bonds will treated as rotatable in the ligand and to analyze dockings. Used for automated docking with selective receptor flexibility. Designed to predict how small molecules, such as substrates or drug candidates, bind to receptor of known 3D structure.
Proper citation: AutoDockTools (RRID:SCR_026401) Copy
https://github.com/YingMa0107/CARD/
Software R package for spatial transcriptomics. Deconvolution method that combines cell-type-specific expression information from single-cell RNA sequencing (scRNA-seq) with correlation in cell-type composition across tissue locations.
Proper citation: Conditional AutoRegressive Deconvolution (RRID:SCR_026310) Copy
https://github.com/spreka/biomagdsb
Software tool as parameter-free deep learning framework for nucleus segmentation using image style transfer. Cell segmentation tool.
Proper citation: NucleAIzer (RRID:SCR_026500) Copy
https://github.com/compgenomics/MeTPeak
Software package for finding the location of m6A sites in MeRIP-seq data.
Proper citation: MeTPeak (RRID:SCR_026533) Copy
https://github.com/agshumate/Liftoff
Software genome annotation lift-over tool capable of mapping genes between two assemblies of the same or closely related species. Aligns genes from reference genome to target genome and finds the mapping that maximizes sequence identity while preserving the structure of each exon, transcript and gene. Used for accurate mapping of gene annotations.
Proper citation: Liftoff (RRID:SCR_026535) Copy
https://github.com/DerrickWood/kraken2
Software tool as second version of Kraken taxonomic sequence classification system.
Proper citation: kraken2 (RRID:SCR_026838) Copy
https://github.com/KrishnaswamyLab/PHATE
Software tool for visualizing high dimensional data using novel conceptual framework for learning and visualizing manifold to preserve both local and global distances.
Proper citation: PHATE (RRID:SCR_027119) Copy
Web application for protein-ligand binding site prediction. Starting from given structure of target proteins, COACH will generate complementray ligand binding site predictions using two comparative methods, TM-SITE and S-SITE, which recognize ligand-binding templates from the BioLiP protein function database by binding-specific substructure and sequence profile comparisons.
Proper citation: COACH (RRID:SCR_027684) Copy
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