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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

https://github.com/sccn/labstreaminglayer

System for unified collection of measurement time series in research experiments that handles networking, time synchronization, near real time access as well as optionally centralized collection, viewing and disk recording of data. System for synchronizing streaming data for live analysis or recording.

Proper citation: Lab Streaming Layer (RRID:SCR_017631) Copy   

•   Source: SciCrunch Registry

http://viewtool.chenglab.com/

Web application viewer for large microscopy data.

Proper citation: ViewTool Cheng Lab (RRID:SCR_016430) Copy   

•   Source: SciCrunch Registry

http://starbase.sysu.edu.cn/index.php

Web based tool to visualize, analyze, discover and download of large-scale functional genomics data. Used for analysis of the CLIP-Seq and Degradome-Seq data sets, exploration of miRNA–target interactions and decoding RNA interaction networks from CLIP-Seq (HITS-CLIP, PAR-CLIP, iCLIP, CLASH) data. To show RNA-RNA and protein-RNA interaction networks in developmental, physiological and pathological processes.

Proper citation: Starbase V2.0 (RRID:SCR_016303) Copy   

•   Source: SciCrunch Registry

https://amp.pharm.mssm.edu/biojupies/

Software as an open source web server that automatically generates RNA-seq data analysis of jupyter notebooks. It allows creation and containment of documents that have live code, visualizations and narrative text.

Proper citation: BioJupies (RRID:SCR_016346) Copy   

•   Source: SciCrunch Registry

https://github.com/quest-bih/oddpub

Text mining algorithm to screen biomedical publications to find data sharing statements. Algorithm that parses set of publications and detects which publications disseminated Open Data or Open Code together with publication. Tailored towards biomedical literature.

Proper citation: ODDPub (RRID:SCR_018385) Copy   

•   Source: SciCrunch Registry

http://mobile.ebiocenter.com/ebionews/

eBioNews specializes in online information services and resource exchanges in the fields of life sciences and biotechnology. By applying its knowledge database and content management system (CMS), eBioNews offers readers and customers the organized and comprehensive information. eBioNews also provides a membership-based service to assist our customers in information and data search, processing, storage, and sharing. Generally, eBioNews covers the following areas: - life science frontiers - news and discussions - features and specials - resources and sourcing - career development - academic and industry - training and education Additionally, eBioNews information is organized into the following two clusters: - News Center: 1. Headlights 2. Research Frontiers 3. General Research 4. Clinical Development 5. Enterprise & Industry 6. Products & Services 7. Investment & Financials 8. Features 9. Newsletter The News Center consists of the elements and mechanisms that enable collecting, organizing, displaying, and delivering life science related information, data, and knowledge. - Resource Center: 1. eBioResources 2. Cooperation 3. Events 4. Human Resources 5. Intellectual Property 6. Finance & Legal 7. Operations 8. Organization 9. Publication The Resource Center is a system that hosts and facilitates the resource-related information between and among multiple parties, especially for promoting cooperation, collaboration, consortium, partnering, joint venture, licensing, out-sourcing, and trading. Sponsors: This resource is supported by eBioCenter Corporation.

Proper citation: eBioNews - A Subsidiary of eBioCenter (RRID:SCR_001717) Copy   

•   Source: SciCrunch Registry

http://www.birncommunity.org/collaborators/function-birn/

The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source.

Proper citation: Function BIRN (RRID:SCR_007291) Copy   

•   Source: SciCrunch Registry

http://www.heka.com/downloads/downloads_main.html#down_tida

A software which is used to acquire physiological data from the HEKA Patch Clamp Amplifiers and HEKA interfaces.

Proper citation: TIDA (RRID:SCR_014582) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=webchem

Open source software package for R programming language that is used to acquire chemical information from online data sources. Package contains functions that allow programmer to interact with webpages and APIs to retrieve chemical information.

Proper citation: webchem (RRID:SCR_017684) Copy   

•   Source: SciCrunch Registry

https://med.stanford.edu/starr-tools.html

Platform developed and operated by Stanford Medicine Research IT team for working with clinical data for research purposes. Permits collection and aggregation of all clinical data generated at Stanford for care purposes, and articulates formal approval process each research project must follow in order to obtain and work with this data for research purpose. Home of stride/web tools for Cohort Discovery and Chart Review.

Proper citation: Stanford Medicine Research Data Repository (RRID:SCR_018686) Copy   

•   Source: SciCrunch Registry

https://rapps.hirnetwork.org/scPancMeta/

Portal for islet research community. Data for eight scRNA-seq datasets are combined to give consensus overview of islet cell type defining genes. Tools are provided for interacting with and comparing novel genesets generated.

Proper citation: scPancMeta App (RRID:SCR_018939) Copy   

•   Source: SciCrunch Registry

http://neuro-information.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The International Observatory on Neuro-Information is the central source of knowledge, research and data on all skills and issues for Neuroscience applied in Information Sciences. It is an initiative of the Documentation Sciences Foundation, from Spain, which aims to gather information, express opinions, prepare documents, make comparative research, support and promote policy-making, evaluate trends, and take other appropriate action relating to the Neuroscience and its application to the Information Sciences (Libraries, Archives, Documentation centers), and how the traditional knowledge of Information Sciences can bring expertise in data visualization and retrieval techniques, records management, quality assurance and usability in Neuroscience. The Observatory may work together, or in agreement with other national or international organizations pursuing similar or compatible aims.

Proper citation: International Observatory on Neuro-Information (RRID:SCR_008690) Copy   

•   Source: SciCrunch Registry

http://autodock.scripps.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software for automated docking analysis to precalculate the set of grids describing the target protein. It is a part of automated molecular modeling simulation software AutoDock.

Proper citation: Autogrid (RRID:SCR_015982) Copy   

•   Source: SciCrunch Registry

http://phonbank.talkbank.org/

Database for study of early phonological development using Phon program. Child phonology component of TalkBank system.

Proper citation: PhonBank (RRID:SCR_016312) Copy   

•   Source: SciCrunch Registry

https://www.nichd.nih.gov/research/supported/NCS/researchers

Data and sample repository for National Children's Study. Provides access to data and samples collected from over 5,600 U.S. birth families to study environmental influences on child health and development. Data and biological and environmental samples are freely available, with approved request, for scientific research.

Proper citation: National Children's Study (NCS) Archive (RRID:SCR_016311) Copy   

•   Source: SciCrunch Registry

https://www.myassays.com/

Software tool for assay data analysis.

Proper citation: MyAssays (RRID:SCR_016562) Copy   

•   Source: SciCrunch Registry

https://github.com/schatzlab/genomescope

Open source software package for fast genome analysis from unassembled short reads. Used to estimate genome heterozygosity, repeat content, and size from sequencing reads using a kmer-based statistical approach.

Proper citation: GenomeScope (RRID:SCR_017014) Copy   

•   Source: SciCrunch Registry

https://omicssimla.sourceforge.io

Software tool for generating multi omics data with disease status. Simulates genomics (SNPs and copy number variations), epigenomics ( whole genome bisulphite sequencing), transcriptomics ( RNA seq), and proteomics (normalized reverse phase protein array) data at the whole genome level. Available as desktop and web application version.

Proper citation: OmicsSIMLA (RRID:SCR_017011) Copy   

•   Source: SciCrunch Registry

https://github.com/epistasislab/hibachi

Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.

Proper citation: Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (RRID:SCR_017140) Copy   

•   Source: SciCrunch Registry