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https://knoweng.org

Part of the NIH Big Data to Knowledge (BD2K) Initiative. One of 11 Centers of Excellence in Big Data Computing. Platform for genomics data analysis where user-supplied data sets will be analyzed in the context of existing knowledge. E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data.

Proper citation: KnowEnG (RRID:SCR_016875) Copy   

•   Source: SciCrunch Registry

https://github.com/dpeerlab/phenograph

Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity.

Proper citation: Phenograph (RRID:SCR_016919) Copy   

•   Source: SciCrunch Registry

https://csgid.org/csgid/metal_sites

Metal binding site validation server. Used for systematic inspection of the metal-binding architectures in macromolecular structures. The validation parameters that CMM examines cover the entire binding environment of the metal ion, including the position, charge and type of atoms and residues surrounding the metal.

Proper citation: CheckMyMetal (RRID:SCR_016887) Copy   

•   Source: SciCrunch Registry

https://www.ccpn.ac.uk/v2-software/software/extras/datamodelfolder

Model to cover data for macromolecular NMR spectroscopy from the initial experimental data to the final validation. Used for the large scale data deposition, data mining and program interoperability. Enables movement from one software package to another without difficulties with data conversion or loss of information. Works with CcpNmr Analysis software for analysis and interactive display, CcpNmr FormatConverter for allowing transfer of data from programs used in NMR to and from the Data Model, and the CLOUDS software for automated structure calculation and assignment. Used within the CCPN software suite for NMR spectroscopy and at the BioMagResBank for converting existing deposited restraint lists to a standard IUPAC nomenclature.

Proper citation: CCPN Data Model (RRID:SCR_016982) Copy   

•   Source: SciCrunch Registry

https://github.com/macmanes-lab/BinPacker/blob/master/README

Software tool as de novo trascriptome assembler for RNA-Seq data. Used to assemble full length transcripts by remodeling problem as tracking set of trajectories of items over splicing graph. Input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Operating system Unix/Linux.

Proper citation: BinPacker (RRID:SCR_017038) Copy   

•   Source: SciCrunch Registry

https://exrna-atlas.org

Software tool as data and metadata repository of Extracellular RNA Communication Consortium. Atlas includes small RNA sequencing and qPCR derived exRNA profiles from human and mouse biofluids. All RNAseq datasets are processed using version 4 of exceRpt small RNAseq pipeline. Atlas accepts submissions for RNAseq or qPCR data.

Proper citation: exRNA Atlas (RRID:SCR_017221) Copy   

•   Source: SciCrunch Registry

http://rna.urmc.rochester.edu/RNAstructureWeb/Servers/Predict1/Predict1.html

Web server for RNA and DNA secondary structure prediction and analysis. Software package as RNA folding prediction program.

Proper citation: RNAstructure (RRID:SCR_017216) Copy   

•   Source: SciCrunch Registry

https://www.electrontomography.org/?page_id=446

Software tool for electron tomography and 3D image processing. Software package used in electron tomography for marker free alignment and 3D reconstruction of tilt series. Tomography software package distributed for linux operating system and developed by Hanspeter Winkler.

Proper citation: Protomo (RRID:SCR_017296) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/apps/mediawiki/mummergpu/index.php?title=MUMmerGPU

Software tool as high throughput DNA sequence alignment program that runs on nVidia G80-class GPUs. Aligns sequences in parallel on video card to accelerate widely used serial CPU program MUMmer.

Proper citation: MUMmerGPU (RRID:SCR_001200) Copy   

•   Source: SciCrunch Registry

http://drugdesigndata.org

Project portal's database of protein-ligand data sets provided by pharmaceutical partners that provide atomic details of drug mechanisms that will be used to improve computer-aided drug-design methods and thus accelerate drug discovery. The project aims to help companies release the high-quality data they have generated, which has incredible value to researchers working to improve methods of computer-aided drug discovery. Everyone stands to benefit from the ability to develop new medications more quickly and inexpensively. What computational chemists globally are trying to do is to make faster, more accurate, more predictive programs to speed up the process. Part of their mission is to engage the community in these challenges to test newly developed predictive algorithms.

Proper citation: Drug Design Data Resource (RRID:SCR_000497) Copy   

•   Source: SciCrunch Registry

https://openmm.org/

Software toolkit to run modern molecular simulations. It can be used either as a standalone application for running simulations, or as a library that enables accelerated calculations for molecular dynamics on high-performance computer architectures.

Proper citation: OpenMM (RRID:SCR_000436) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/NIGMS/?SsId=8

Highly characterized cell lines and high quality DNA for cell and genetic research representing a variety of disease states, chromosomal abnormalities, apparently healthy individuals and many distinct human populations. The NIGMS Repository contains more than 10,600 cell lines, primarily fibroblasts and transformed lymphoblasts, and over 5,500 DNA samples. The NIGMS Repository has a major emphasis on heritable diseases and chromosomally aberrant cell lines. In addition, it contains a large collection dedicated to understanding human variation that includes samples from populations around the world, the CEPH collection, the Polymorphism Discovery Resource, and many apparently healthy controls. Human induced pluripotent stem cell lines, many of which were derived from NIGMS Repository fibroblasts, have recently become available through the NIGMS Repository. Sample donation facilitates all areas of research by making available well-characterized materials to any qualified researcher who might have otherwise been unable to invest the time and resources to collect needed samples independently. Donations to the Repository have created a resource of unparalleled scope. Samples from the collection have been used in more than 5,500 publications and are distributed to scientists in more than 50 countries. This resource is continuously expanding to support new directions in human genetics.

Proper citation: NIGMS Human Genetic Cell Repository (RRID:SCR_004517) Copy   

•   Source: SciCrunch Registry

http://snyderome.stanford.edu/

Data set generated by personal omics profiling of Dr. Michael Snyder at Stanford University. It combines genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from a single individual over a 14 month period. The analysis revealed various medical risks, including type II diabetes. It also uncovered extensive, dynamic changes in diverse molecular components and biological pathways across healthy and diseased conditions.

Proper citation: iPOP (RRID:SCR_008991) Copy   

•   Source: SciCrunch Registry

https://bioams.llnl.gov/

Biomedical technology research center that develops and refines accelerator mass spectrometry methods and instrumentation for the precise, quantitative and cost-effective measurement of the effects of drugs and toxicants on humans at safe doses. It facilitates the use of accelerator mass spectrometry in biomedical research and provides training and access for researchers.

Proper citation: National Resource for Biomedical Accelerator Mass Spectrometry (RRID:SCR_009006) Copy   

•   Source: SciCrunch Registry

https://web.uri.edu/riinbre/mic/

Core provides sequencing and bioinformatics support for INBRE and non-INBRE researchers. Provides data science services adjacent to traditional bioinformatics; access to computational and software resources for INBRE network institutions, particularly primarily undergraduate institutions; training for students and faculty in data science methods. Maintains professional network with other core and user facilities in Rhode Island and beyond to maximize resources available to our users.Utilizes novel technologies such as virtual/augmented reality for use in teaching and research.

Proper citation: Rhode Island INBRE Molecular Informatics Core Facility (RRID:SCR_017685) Copy   

•   Source: SciCrunch Registry

https://core.bioinformatics.udel.edu

CBCB Bioinformatics Data Science Core builds upon infrastructure of the Center for Bioinformatics and Computational Biology. Delaware Biotechnology Institute , Delaware Data Science Institute, and Protein Information Resource. Core helps with planning your research or analyzing your current data. Services:Consultation and Collaboration, Proposal Assistance,Training, Bioinformatics Software, Computational Hardware, Database and Web Services, Next Gen Analysis, Custom Analysis.

Proper citation: University of Delaware CBCB Bioinformatics Data Science Core Facility (RRID:SCR_017696) Copy   

•   Source: SciCrunch Registry

https://med.und.edu/imaging/index.html

Provides advanced instrumentation for researchers interested in investigating biological processes at cellular, sub cellular and molecular level.Instrumentation include Confocal Microscope Systems :Zeiss LSM-510 Meta Confocal Microscope, Olympus FV1000 MPE Basic Multiphoton Microscope;Brightfield/Fluorescence: Nikon Eclipse TE300 (inverted) Fluorescent Microscope, Nikon Eclipse 80i (upright) Fluorescent Microscope, Leica Thunder Imager; TIRF Systems:Olympus TIRF Microscope; Transmission Electron Microscopy:Hitachi 7500 TEM, RCM MTX Ultramicrotomes;Scanning Electron Microscopy:Hitachi 4700 Field Emission SEM, Denton Desk II Sputter and Turbo-sputter Coaters.Light and electron microscopic facilities, complete with ancillary support equipment, are located in close proximity to each other within suite of rooms housed in medical school.

Proper citation: University of North Dakota School of Medicine and Health Sciences Imaging Core Facility (RRID:SCR_017733) Copy   

•   Source: SciCrunch Registry

http://www.uwyo.edu/microscopy/

Core to assist researchers and students in their imaging needs of fluorescence and electron microscopy and to increase use of microscopes in science education. Consultation, training or touring facility is also available by appointment.

Proper citation: Wyoming University Jenkins Microscopy Core Facility (RRID:SCR_017758) Copy   

•   Source: SciCrunch Registry

https://www.unr.edu/proteomics

Core offers mass spectral proteomic analysis. Assists with qualitative and quantitative characterization of proteins in biological matrices such as plasma/serum, tissue, cell lines and other biological material to gain understanding of physiological pathways, molecular interactions and regulatory signaling.

Proper citation: University of Nevada at Reno Nevada Proteomics Center Core Facility (RRID:SCR_017761) Copy   

•   Source: SciCrunch Registry

http://psf.cobre.ku.edu/cores/ppg/about

Core focuses on cloning, expression and purification of prokaryotic and eukaryotic proteins for COBRE and other investigators in Kansas and region. Laboratory maintains equipment to support production of properly folded proteins in quantities suitable for structural studies (X-ray and NMR), functional studies (catalytic or biological), label-free binding studies (SPR) and/or high throughput (HTP) screening studies.

Proper citation: Kansas University at Lawrence Protein Production Group Core Facility (RRID:SCR_017749) Copy   

•   Source: SciCrunch Registry