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http://compbio.cs.princeton.edu/conservation/

Software for scoring protein sequence conservation using the Jensen-Shannon divergence. It can be used to predict catalytic sites and residues near bound ligands.

Proper citation: Conservation (RRID:SCR_016064) Copy   

•   Source: SciCrunch Registry

https://predictomes.org/

Interactive database of protein protein interactions modeled by AlphaFold multimer. Classifier-curated database of AlphaFold-modeled protein-protein interactions.

Proper citation: Predictomes (RRID:SCR_026691) Copy   

•   Source: SciCrunch Registry

https://github.com/slowkoni/rfmix

Software tool for local ancestry and admixture inference. Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference.

Proper citation: RFMix (RRID:SCR_027030) Copy   

•   Source: SciCrunch Registry

https://www.unh.edu/research/welcome-university-instrumentation-center

University wide core facility offers NMR,SEM including FIB, EBS, EBSD, Tensile Stage,Confocal,X-Ray Photoelectron Spectroscopy,X-Ray Microscope aka Micro CT, Expert analysis of research and industrial samples,Training in scientific instrument operation and data analysis, Maintenance, repair, and calibration of instruments,Specialty instrument engineering design and application services,Facilitation of access to scientific instruments throughout the university.

Proper citation: University of New Hampshire University Instrumentation Center Core Facility (RRID:SCR_021101) Copy   

•   Source: SciCrunch Registry

https://www.biotech.cornell.edu/core-facilities-brc/facilities/epigenomics-facility

Provides service that maps protein DNA interactions genome wide, tracks experimental metadata, and implements quality controlled data processing and research based analysis pipelines. Provides epigenomic and bioinformatic research resources and services that include sample preparation services and data generation. Open source platforms enable and reinforce FAIR data practices. Core is able to receive and process cell and tissue samples for various diagnostic epigenetic assays.

Proper citation: Cornell University BRC Epigenomics Core Facility (RRID:SCR_021287) Copy   

•   Source: SciCrunch Registry

https://www.boisestate.edu/brc/home/

Designed to provide supportive environment for interdisciplinary research and education with opportunities for students and faculty members alike with focus on biomolecules study with emphasis on proteins and protein interactions. Provides instrumentation and facilities for characterization of biomolecules and their role in variety of biomedical and environmental processes. Partnerships between Center and Idaho-BRIN/INBRE, UI, ISU, Boise VA Medical Center, College of Idaho, and Northwest Nazarene University. BRC provides seminars, training workshops, and other networking opportunities.

Proper citation: Boise State University Biomolecular Research Center Core Facility (RRID:SCR_019174) Copy   

•   Source: SciCrunch Registry

https://isotope.ucsc.edu/

Provides light stable isotope ratio analysis services to scientists from UCSC and from around the world.

Proper citation: University of California at Santa Cruz Stable Isotope Laboratory Core Facility (RRID:SCR_022947) Copy   

•   Source: SciCrunch Registry

https://www.socr.umich.edu/

SOCR designs, validates and freely disseminates knowledge. The Resource develops AI/ML tools, mathematical models, and end-to-end data analytic protocols for biomedical and health studies. It provides portable online aids for probability, statistics and health science education, promotes technology enhanced instruction, supports efficient statistical computing, supports AI-services, and advances predictive big data analytics. The SOCR platform includes repository of interactive apps, datasets and case-studies, computational tools, visualization approaches, instructional resources, learning materials, and curricular components. SOCR faculty, staff, and students support data and information science collaborations and analytic partnerships involving biomedical, healthcare, and biostatistical investigations.

Proper citation: University of Michigan Statistics Online Computational Resource Core Facility (RRID:SCR_022917) Copy   

•   Source: SciCrunch Registry

https://biopacificmip.org/

BioPolymers, Automated Cellular Infrastructure, Flow, and Integrated Chemistry Materials Innovation Platform is platform dedicated to scalable production of bio-derived building blocks and polymers from yeast, fungi, and bacteria. Automated high-throughput synthesis and characterization of bio-derived polymers aims to accelerate discovery and speed development of new high-performance materials.

Proper citation: University of California BioPACIFIC MIP Core Facility (RRID:SCR_023540) Copy   

•   Source: SciCrunch Registry

https://www.cores.emory.edu/iemc/

Core helps investigators use the latest technologies on structural research in their projects. Provides expertise in experimental needs.

Proper citation: Emory University Robert P. Apkarian Integrated Electron Microscopy Core Facility (RRID:SCR_023537) Copy   

•   Source: SciCrunch Registry

http://www.paleoclim.org/

Database of downscaled paleoclimate outputs at 2.5 minute resolution (~5 km at equator) that includes surface temperature and precipitation estimates from snapshot-style climate model simulations using HadCM3, a version of the UK Met Office Hadley Centre General Circulation Model. Database contains climatic data for three key time periods spanning from 3.3 to 0.787 million years ago: the Marine Isotope Stage 19 (MIS19) in the Pleistocene (~787 ka), the mid-Pliocene Warm Period (~3.264–3.025 Ma), and MIS M2 in the Late Pliocene (~3.3 Ma). Set of historical climate layers (climate grids) with spatial resolution of about 2.5 min. These data can be used for mapping and spatial modelling in Geographic Information Systems (GIS) or other computer programs.

Proper citation: PaleoClim database (RRID:SCR_025657) Copy   

•   Source: SciCrunch Registry

http://trftarget.net

Transcription factor target database. Platform consolidating both computationally predicted and experimentally validated binding sites between transfer RNA-derived fragments and target genes or transcripts across multiple organisms.

Proper citation: tTFtarget (RRID:SCR_025631) Copy   

•   Source: SciCrunch Registry

https://zenodo.org/records/11095105

Software label transfer tool for single-cell RNA sequencing analysis. Scalable, Interpretable Modeling for Single-cell RNA-seq data classification.

Proper citation: SIMS (RRID:SCR_025787) Copy   

•   Source: SciCrunch Registry

https://usnan.org

Provides distributed services from Universities of Connecticut, Georgia, and Wisconsin to democratize application of high-field NMR spectroscopy for applications in biomedicine, materials science, and chemistry. Multi-institution collaboration creating distributed research infrastructure for NMR applications including resource discovery, access to NMR spectrometers, ranging from bench top to ultra-high field, knowledgebases on best practices, and data archiving and sharing.

Proper citation: NSF Network for Advanced NMR (RRID:SCR_025092) Copy   

•   Source: SciCrunch Registry

https://redu.ucsd.edu/

Software framework to find and re-analyze public Mass Spectrometry data. Used to find uniformly formatted public MS/MS data in the Global Natural Product Social Molecular Networking Platform (GNPS) via formatted metadata. New or previously collected data can be added provided they adhere to the ReDU metadata standards (the implemented drag-and-drop validator is applicable to any scientific data) and data are available in GNPS/MassIVE.

Proper citation: ReDU (RRID:SCR_025105) Copy   

•   Source: SciCrunch Registry

https://github.com/mwang87/MassQueryLanguage

Software application for universal searching of Mass Spectrometry data. Open source MS query language for flexible and mass spectrometer manufacturer-independent mining of MS data. Implements common MS terminology to build consensus vocabulary to search for MS patterns in single mass spectrometry run. Enables set of mass spectrometry patterns to be queried directly from raw data.

Proper citation: MassQL (RRID:SCR_025106) Copy   

•   Source: SciCrunch Registry

https://fmug.amaral.northwestern.edu/

Software data-driven tool to identify understudied genes and characterize their tractability. Users submit list of human genes and can filter these genes down based on list of factors. Code to generate Find My Understudied Genes app for Windows, iOS and macOS platforms.

Proper citation: Find My Understudied Genes (RRID:SCR_025047) Copy   

•   Source: SciCrunch Registry

https://github.com/bmvdgeijn/WASP/

Software allele-specific pipeline for unbiased read mapping and molecular QTL discovery. Allele-specific software for robust molecular quantitative trait locus discovery.

Proper citation: WASP (RRID:SCR_025497) Copy   

•   Source: SciCrunch Registry

https://gateway-nmr.osu.edu/capablities#:~:text=Bruker%20Avance%20Neo%201.2%20GHz%20NMR%20Spectrometer

Spectrometer represents the pinnacle of commercial nuclear magnetic resonance technology. Operating at 28.2 Tesla, this ultra-high-field system is primarily used for advanced structural biology, pharmaceutical research, and materials science. Delivers the highest commercially available spectral resolution, crucial for investigating complex protein dynamics, functional molecular disorders, and viral structures. Console:Avance Neo; Magnet:Gateway; Field Strength: 1.2 GHz; Software:TopSpin 4.4.1 on CentOS 7; Probes:3mm TCI cryoprobe; 3mm BBI room-temperature; 3.2mm HX low-gamma MAS; 1.9mm HX high-gamma MAS; 1.3mm HCN fast MAS; 0.7mm HCN ultra-fast MAS; Chilled SampleCase (up to 24 samples); Automated Tuning and Matching (ATM); Nitrogen Liquefier.

Proper citation: Bruker: Avance Neo 1.2 GHz NMR Spectrometer (RRID:SCR_028512) Copy   

•   Source: SciCrunch Registry

https://cells-test.gi.ucsc.edu/cytoverse/

Web application to map single-cell RNA data into AI foundation model spaces. Lets search millions of reference cells and view cell types locally without uploading private data or needing powerful cloud servers. Using ONNX model deployment and compressed IVFPQ indexing, it annotates local datasets against a 23-million-cell reference without server computation, installation, or data upload, and shares embeddings as lightweight files, enabling private, interactive, and collaborative single-cell analysis.

Proper citation: CytoVerse (RRID:SCR_028854) Copy   

•   Source: SciCrunch Registry