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https://www.preventivemedicine.northwestern.edu/divisions/biostatistics/

Core where division members engage in statistical methods development and application, research design and statistical computing for health science research. Faculty interests encompass Bayesian methods, bioinformatics, causal inference, computational biology, clinical trials, diagnostic testing, longitudinal modeling, missing data modeling, observational data methods, semi-parametric models, spatial modeling, statistical genetics and survival analysis.

Proper citation: Northwestern University Biostatistics Collaborative Center (RRID:SCR_017943) Copy   

•   Source: SciCrunch Registry
  

https://education.musc.edu/colleges/medicine/departments/pharmacology/redox-center/cores/bioenergetics-profiling-core

Core provides several technologies that enable researchers to quantify fluxes of these metabolic reactions in cells, tissues, organoids and small animal models such as zebrafish embryos and nematodes.Technologies include high resolution respirometry using XF technology from Seahorse Biosciences/Agilent. Instrumentation utilizes 96-well microplates to provide sufficient sample numbers to provide flux profiles of glycolysis, mitochondrial respiration, fatty acid oxidation, glutamine utilization and other related metabolic processes. Rapid, high-throughput imaging optimized to XF plate architecture provides normalization of cell/tissue numbers, health, and other.Provides training, data analyses support and aid in experimental design.

Proper citation: South Carolina Medical University Bioenergetics Profiling Core Facility (RRID:SCR_017953) Copy   

•   Source: SciCrunch Registry
  

https://bioconductor.org/packages/FlowSorted.Blood.450k/

Illumina HumanMethylation data on sorted blood cell populations.

Proper citation: FlowSorted.Blood.450k R package (RRID:SCR_018003) Copy   

•   Source: SciCrunch Registry
  

https://dsigdb.tanlab.org/DSigDBv1.0/

Online database provides collection of gene sets based on quantitative inhibition and/or drug-induced gene expression changes data of drugs and compounds. Allows users to search, view and download drugs/compounds and gene sets.

Proper citation: DSigDB (RRID:SCR_026202) Copy   

•   Source: SciCrunch Registry
  

https://marmotgraph.org

Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.

Proper citation: MarmotGraph (RRID:SCR_027452) Copy   

•   Source: SciCrunch Registry
  

https://www.bwhneurosciences.org/neurotechnology-studio/

Offers advanced instrumentation and expert support to advance understanding of brain function and brain disease by providing researchers with access to cutting-edge technologies. Provides access to advanced instrumentation for optical microscopy, genomics, metabolic imaging and other technologies, as well as image analysis software. Provides expert support and training, data quality and interpretation.

Proper citation: Brigham and Women’s Hospital NeuroTechnology Studio Core Facility (RRID:SCR_027687) Copy   

•   Source: SciCrunch Registry
  

http://www.concepthub.org/wiki/Main_Page

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 18, 2016. A database built up with software and services that maintains multiple versions of terminologies, map sets, and values sets concurrently. HDD Access has superseded Concept Hub.

Proper citation: Concept Hub (RRID:SCR_013586) Copy   

•   Source: SciCrunch Registry
  

https://www.digitalpsych.org/mindlamp1.html

Core collects data to capture and consider the real-time lived experiences of patients. Uses open-source digital platform and mobile app for neuropsychiatric research and clinical care, to monitor, support, and improve brain health by collecting real-time data (like location, activity, heart rate via sensors), conducting digital assessments (surveys, cognitive tests), and delivering interventions (meditation, journaling, psychoeducation) to patients and clinicians. It helps study behavioral patterns, track symptoms, and personalize mental health treatment through features organized around Learn, Assess, Manage, and Prevent.

Proper citation: BIDMC Division of Digital Psychiatry LAMP platform Core Facility (RRID:SCR_027767) Copy   

•   Source: SciCrunch Registry
  

https://camera.niehs.nih.gov/

Interactive database and user interface providing online access to validated alternative methods for U.S. regulatory and other contexts of use. Central hub and unified resource of validated alternative methods that enhances accessibility to validation study reports, data, protocols / SOPs, and information on regulatory guidance.Users can filter searches by alternative method types, defined approaches, Test Method Endpoint, and regulatory guidance.

Proper citation: Collection of Alternative Methods for Regulatory Application (CAMERA) (RRID:SCR_027893) Copy   

•   Source: SciCrunch Registry
  

https://nda.nih.gov/oai

Centralized, annotated repository for the Osteoarthritis Initiative (OAI) study, designed to accelerate research by organizing and linking extensive clinical, imaging (MRI/X-ray), and biomarker data. It aims to help researchers analyze knee osteoarthritis prevention, treatment, and progression.

Proper citation: OAI Knowledge base (RRID:SCR_028107) Copy   

•   Source: SciCrunch Registry
  

https://bican.mccarrolllab.org/app/bican?_inputs_&geneList=%22XIST%20PDE10A%20%20PENK%20PDYN%22&navbarPage=%22panelGeneExpr%22&plotExpressionButton=0&exprPlotUseCommonYScale=true&cellTypeSelector=%5B%22MSN%22%2C%22MSN_D1%22%2C%22MSN_D2%22%2C%22MSN_D1_matrix%22%2C%22MSN_D2_matrix%22%2C%22MSN_D1_striosome%22%2C%22MSN_D2_striosome%22%5D&exprPlotRegionSelector=%22Pu%22&GeneExprPlot_hover=null

Project provides data currently generated with support from the NIH Brain Initiative Cell Atlas Network (BICAN). Broad Institute collaboration supported by the NIH BRAIN Initiative, to create comprehensive atlas of cellular variation in the healthy human brain. It maps data from millions of cells across diverse individuals to understand how brain biology differs, helping researchers distinguish healthy variation from disease states.

Proper citation: Human Brain Variation Project (RRID:SCR_028065) Copy   

•   Source: SciCrunch Registry
  

https://datalab.ucdavis.edu/

Core supports data-enabled research through training, advising, and collaboration in data science, covering topics like research design, data access, analysis, visualization, reproducibility, ethics, and use of tools and methods in the areas of machine learning, bioinformatics, HPC, and open-source software.

Proper citation: University of California Davis DataLab Core Facility (RRID:SCR_028941) Copy   

•   Source: SciCrunch Registry
  

http://www.mayo.edu/research/departments-divisions/department-health-sciences-research/division-biomedical-statistics-informatics/software/bioinformatics-software-packages

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023. A free bioinformatics software tool to help identify fusion transcripts from paired-end transcriptome sequencing data. The source codes of SnowShoes-FTD are provided in two formats: one configured to run on the Sun Grid Engine for parallelization with shorter run time, and the other formatted to run on a single LINUX node.

Proper citation: SnowsShoes-FTD (RRID:SCR_000076) Copy   

•   Source: SciCrunch Registry
  

http://soap.genomics.org.cn/SOAPfusion.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 22,2022. An open source software tool for fusion discovery with paired-end RNA-Seq reads. The tool follows a different strategy by finding fusions directly and verifying them, differentiating it from all other existing tools by finding the candidate regions and searching for the fusions afterwards.

Proper citation: SOAPfusion (RRID:SCR_000079) Copy   

•   Source: SciCrunch Registry
  

https://www.synapse.org/

Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org.

Proper citation: CommonMind Consortium (RRID:SCR_000139) Copy   

•   Source: SciCrunch Registry
  

http://www.iuphar.org/

Voluntary, non-governmental, non-profit pharmacologist association promoting international cooperation, sponsoring international and regional activities, encouraging free exchange of scientists and ideas, developing public awareness, establishing advisory committees. Has official relations with the World Health Organization (WHO). Helps pharmacologists to participate with other branches of science in international activities, either directly or under ICSU, WHO and UNESCO. Member of the International Council for Science (ICSU) and participates in the work of its scientific committees. Has its own publishing program. Pharmacology International, is published every June and December. Member Directory is maintained continually, as an online resource. Provides IUPHAR Receptor Database, major on-line repository of characterization data for receptors and drugs, and the IUPHAR Ion Channels Database. Official Reports from The IUPHAR Committee on Receptor Nomenclature and Drug Classification are published in Pharmacological Reviews. IUPHAR World Congresses of Pharmacology are held every few years.

Proper citation: International Union of Basic and Clinical Pharmacology (RRID:SCR_000135) Copy   

•   Source: SciCrunch Registry
  

http://cistrome.org

Web based integrative platform for transcriptional regulation studies.

Proper citation: Cistrome (RRID:SCR_000242) Copy   

•   Source: SciCrunch Registry
  

http://technelysium.com.au/?page_id=27

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31,2023. Software which is able to assemble data from 454 and Illumina next-generation sequencers, with up to 100,000 sequences if 2 Gb RAM is available.

Proper citation: ChromasPro (RRID:SCR_000229) Copy   

•   Source: SciCrunch Registry
  

http://www.bzip.org/

A data compressor for files. This software is freely available, patent free, and is organized as a library with a programming interface.

Proper citation: bzip2 (RRID:SCR_000376) Copy   

•   Source: SciCrunch Registry
  

http://medicaldata.wikia.com/wiki/Main_Page

Portal serves as resource to understand the current state of medical data quality and the factors that affect it. The information is gathered from anecdotal and empirical examples from peer-reviewed journals, popular media and author contributions. Issues of importance include understanding and measuring medical data quality, contributing factors, best practices, and the effects of data quality on secondary uses of medical data.

Proper citation: Quality of Medical Data (RRID:SCR_000520) Copy   

•   Source: SciCrunch Registry