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https://usdrn.org/

Portal for research on urinary stones in adults and children in order to learn more about who forms kidney stones, treatments and prevention. Network comprises of experts including adult and pediatric urologists, adult and pediatric nephrologists, pediatricians, emergency department physicians, clinical trialists, nutritionists, behavioral scientists, and radiologists. Duke Clinical Research Institute is Scientific Data Research Center and with clinical sites including University of Pennsylvania Children Hospital of Philadelfia, University of Texas Southwestern Medical Center, University of Washington, Washington University in St. Louis, work together in planning, executing, and analyzing results from USDRN studies.

Proper citation: Urinary Stone Disease Research Network (RRID:SCR_019059) Copy   

•   Source: SciCrunch Registry

https://www.openicpsr.org/openicpsr/covid19

Repository for data examining social, behavioral, public health, and economic impact of novel coronavirus global pandemic. Free self publishing option for any researcher who wants to share data related to COVID-19. Deposits should include all data, annotated program code, command files, and documentation necessary to understand data collection and/or replicate research findings.

Proper citation: COVID-19 Data Repository (RRID:SCR_019105) Copy   

•   Source: SciCrunch Registry

https://trials.bgcarlisle.com/

Software tool to download and parse information from ClinicalTrials.gov at the time of search to populate the graph of clinical trials. FDA information is updated weekly from Drugs at FDA dataset and FDA postmarketing commitment data set.

Proper citation: Clinical Trials Viewer (RRID:SCR_019230) Copy   

•   Source: SciCrunch Registry

https://github.com/Crick-CancerGenomics/ascat

Software R package to infer tumor purity, ploidy and allele-specific copy number profiles. It is platform and species independent, and works for both Illumina and Affymetrix SNP arrays, as well as for massively parallel sequencing data.

Proper citation: ascat (RRID:SCR_016868) Copy   

•   Source: SciCrunch Registry

https://blake.bcm.edu/emanwiki/EMAN2

Software suite for processing data from transmission electron microscopes. Used in supercomputing facilities as a test application for large-scale computing. Used for single particle reconstruction, helical reconstruction, 2-D crystallography and whole-cell tomography.

Proper citation: EMAN (RRID:SCR_016867) Copy   

•   Source: SciCrunch Registry

https://github.com/aroth85/pyclone

Software tool to infer the prevalence of point mutations in heterogeneous cancer samples. Probabilistic model for inferring clonal population structure from deep NGS sequencing.

Proper citation: Pyclone (RRID:SCR_016873) Copy   

•   Source: SciCrunch Registry

https://github.com/reinkk/Metab

Software package as a metabolomic data processing pipeline in R codes.

Proper citation: Metab (RRID:SCR_016877) Copy   

•   Source: SciCrunch Registry

https://github.com/PatternRecognition/OpenBMI

Software package for the development of Brain-Computer Interfaces with advanced pattern recognition algorithms. Used for analyzing brain signals which can be used to acquire, filter, process, classify and visualize brain signals in real time.

Proper citation: OpenBMI (RRID:SCR_016876) Copy   

•   Source: SciCrunch Registry

https://bionanogenomics.com/wp-content/uploads/2017/01/30047-Irys-User-Guide.pdf

System by BioNano Genomics ( formerly BioNanomatrix) which provides optical next generation mapping (NGM). Used for sequence assembly and structural variation analysis. Provides Scaffold Bionano genome mapping data with sequencing data to improve assembly contiguity, reduce sequencing coverage needed, and automatically correct errors in sequencing based assemblies.

Proper citation: BioNano: Irys system (RRID:SCR_016754) Copy   

•   Source: SciCrunch Registry

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

http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html

Software R package for statistical analysis and visualization of functional profiles for genes and gene clusters.

Proper citation: clusterProfiler (RRID:SCR_016884) Copy   

•   Source: SciCrunch Registry

https://kpmp.org

Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.

Proper citation: Kidney Precision Medicine Project (RRID:SCR_016920) Copy   

•   Source: SciCrunch Registry

https://jgi.doe.gov/data-and-tools/bbtools/bb-tools-user-guide/bbduk-guide/

Software tool for trimming and filtering sequencing data. Used to combine data quality related trimming, filtering, and masking operations into a single tool adapter. BBDuk2 allows multiple kmer based operations in a single pass.

Proper citation: Bestus Bioinformaticus Duk (RRID:SCR_016969) Copy   

•   Source: SciCrunch Registry

https://picrust.github.io/picrust/

Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.

Proper citation: PICRUSt (RRID:SCR_016855) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/quicknii/

Histological brain section series aligner to volumetric atlases. Software tool for user guided affine registration (anchoring) of 2D experimental image data, typically high resolution microscopic images, to 3D atlas reference space, facilitating data integration through standardized coordinate systems. Part of the QUINT workflow.

Proper citation: QuickNII (RRID:SCR_016854) Copy   

•   Source: SciCrunch Registry

http://ced.co.uk/products/sigovin

Software package for sweep based data acquisition and analysis of time based waveform data obtained through CED digital analogue converter by Cambridge Electronic Design System Limited. Used for transient capture, patch and voltage clamp, LTP studies, evoked response and TMS.

Proper citation: Signal (RRID:SCR_017081) Copy   

•   Source: SciCrunch Registry

https://github.com/kendomaniac/rCASC

Software package for reproducible classification analysis of single cell sequencing data.

Proper citation: rCASC (RRID:SCR_017005) Copy   

•   Source: SciCrunch Registry

https://neurobot.incf.org

Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.

Proper citation: INCF-Neurobot (RRID:SCR_017004) Copy   

•   Source: SciCrunch Registry

https://immunedb.readthedocs.io/en/latest/

Software system for storing and analyzing high throughput B and T cell immune receptor sequencing data. Comprised of web interface and of Python analysis tools to process raw reads for gene usage, infer clones, aggregate data, and run downstream analyses, or in conjunction with other AIRR tools using its import and export features.

Proper citation: ImmuneDB (RRID:SCR_017125) Copy   

•   Source: SciCrunch Registry