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http://www.ensembl.org/

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

Proper citation: Ensembl (RRID:SCR_002344) Copy   

•   Source: SciCrunch Registry

http://brainproducts.com/productdetails.php?id=17

Software to manage the daily work of analyzing various neurophysiological data. Features include a history tree, automated analysis, various data format readers, and more.

Proper citation: BrainVision Analyzer (RRID:SCR_002356) Copy   

•   Source: SciCrunch Registry

http://camera.calit2.net/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016; however, the URL provides links to associated projects and data. A suite of data query, download, upload, analysis and sharing tools serving the needs of the microbial ecology research community, and other scientists using metagenomics data.

Proper citation: Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (RRID:SCR_002676) 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

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://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

http://www.africacentre.ac.za/Biobank/tabid/460/Default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE, documented November 30, 2015. Extensive collection of biological specimens of various kinds that are mostly collected from the population around the Africa Centre in northern KwaZulu-Natal, but there are also specimens collected from populations in and around Durban and elsewhere in KwaZulu-Natal. The results of tests carried out on these specimens are generally stored in the main databases of the various studies involved, and are linkable back to the demographic and other data collected from the individuals concerned. The Biobank is curated by staff of the Africa Centre's Virology Laboratory in Durban, where all the specimens are currently stored, mostly in -80C freezers. A particular strength of its holdings are the dried blood spot (DBS), specimens five drops of blood on a filter-paper card, obtained via a finger-prick - of which there are now nearly 115,000. The following is a list of its holdings (May 2011): * 67,700 DBS specimens collected since late 2002 primarily for HIV prevalence estimation of the population covered by the Africa Centre Demographic Surveillance population. All have at least been tested for HIV, and just over 21% give a Positive result. Specimens are collected annually, so for some individuals we might have a sequence of 8-10 specimens covering 2002-2011. * 36,601 DBS specimens collected by the Vertical Transmission Study (VTS) between Sep 2001 and Dec 2006. This study focussed on mother-child pairs and investigated the vertical transmission of HIV from mother to child. DBS specimens were collected from both the mothers (at initial screening, and then from their children at Birth, 6, 10, 14, 18, 22 weeks, and 7, 8, 9, 12, 15, 18, 21 and 24 months. * 6,585 DBS specimens collected as part of the KZN IMPACT study of PMTCT effectiveness in six districts of kwaZulu-Natal. The specimens were collected during 2004-2006 from infants aged 4-8 weeks when mothers brought them to clinics for immunisation. These DBS specimens are stored at room temperature, not in freezers. * 3,524 DBS specimens collected as part of the Kesho Bora study from Sep 2007 . They were collected from mothers at enrollment, and from the infants at delivery, 2 weeks, and at 4, 5, 7, 8 and 15 months. * 50,068 Plasma specimens * 28,775 breastmilk specimens * 11,277 breastmilk products (Pellets and lactoserum). These have all been extracted from the BM specimens in prev. item? * 11,188 RNA and DNA products extracted from DBS and plasma specimens from all our major studies. * 5,735 Serum specimens * 3,505 cell pellets * 1,778 whole blood specimens * 1,284 Peripheral Blood Mononuclear Cells from the Kesho Bora study mothers (665) and their children (619) * 179 skin tissue specimens from the KST study (Kaposi's Sarcoma) * 176 foreskins

Proper citation: Africa Centre Biobank (RRID:SCR_000638) Copy   

•   Source: SciCrunch Registry

http://www.isrec.isb-sib.ch/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Computational Cancer Genomics (CCG) group is dedicated to the development of analysis tools and databases relating molecular sequences and biological functions. Sponsors: This group is supported by the Swiss Institute of Bioinformatics (SIB).

Proper citation: Computational Cancer Genomics Group (RRID:SCR_000772) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.org:8080/nvm/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6, 2023. Software tool for quantitative neuroanatomical measurements in volumetric image data. Used to draw regions of interest for subsequent fMRI analysis.

Proper citation: NVM (RRID:SCR_000600) Copy   

•   Source: SciCrunch Registry

http://www.measuredhs.com

A program that provides technical assistance for surveys that aim to advance global understanding of health and population trends in developing countries. The DHS program collects, analyzes, and disseminates accurate and representative data on population, health, HIV, and nutrition through more than 300 surveys in over 90 countries.

Proper citation: DHS Program (RRID:SCR_000905) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/rGADEM.html

R package with tools for de novo motif discovery in large-scale genomic sequence data.

Proper citation: rGADEM (RRID:SCR_001091) Copy   

•   Source: SciCrunch Registry

http://www.pd-doc.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 02, 2011. Notice: This domain name expired on 10/29/11 and is pending renewal or deletion PD-DOC is a portal and a database resource, hosting a database and linking to other databases and data sets of clinical and translational data. PD-DOC functions to organize and facilitate clinical and translational research in Parkinson's disease. The PD-DOC Database contains standardized data collected by user institutions on large numbers of patients with Parkinsons disease and other parkinsonian disorders. In some cases, data is obtained at a single point in time, while in others data is collected repeatedly over time. The PD-DOC Database is composed of the Core Data Set (CDS) which consists of those variables required to be gathered for each subject whose data is entered into the PD-DOC database. In 2005, working groups of Udall Center and invited experts deliberated to establish the components of each CDS section (e.g. General Clinical, Cognitive/Behavioral, Postmortem Brain Neuropathological Findings). The PD-DOC CDS was established and designed to optimize data analyses and data mining for large numbers of subjects participating in a variety of research studies. In most cases corresponding DNA samples are available form the NINDS Human Genetic Repository (at Coriell). Much of the website is publicly available for viewing. To request access to sections of the website dealing with downloading or requesting data, requesting a consultation, or submitting data or other information you will need to register. Before registering, you should read the PD-DOC Policies. Note that PD-DOC data can be used for research purposes only. Once your registration is successfully completed you will be automatically logged into the website.

Proper citation: PD-DOC (RRID:SCR_001596) Copy   

•   Source: SciCrunch Registry

https://github.com/ElementoLab/ChIPseeqer

Software that provides a comprehensive framework for the analysis of ChIP-seq data.

Proper citation: ChIPseeqer (RRID:SCR_001545) 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

https://nextstrain.org/

Open source project to harness scientific and public health potential of pathogen genome data. Provides continually updated view of publicly available data alongside powerful analytic and visualization tools for use by community. Used to aid epidemiological understanding and improve outbreak response. Open source SARS-CoV-2 genome data and analytic and visualization tools.

Proper citation: Nextstrain (RRID:SCR_018223) Copy   

•   Source: SciCrunch Registry

https://github.com/AllenInstitute/AllenSDK

Software tool as code for processing and analyzing data in Allen Brain Atlas. Source code for reading and processing Allen Brain Atlas data. Allen SDK focuses on Allen Brain Observatory, Cell Types Database, and Mouse Brain Connectivity Atlas.

Proper citation: Allen Software Development Kit (RRID:SCR_018183) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/NetMHCpan/

Web server for quantitative prediction of peptide binding to any MHC molecule of known sequence using artificial neural networks. Characterizes binding specificity of given major histocompatibility complex molecule and predicts peptide length profile and peptide binding affinity. NetMHCpan 3.0 is improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets. NetMHCpan 4.0 is trained on naturally eluted ligands and on peptide binding affinity data. NetMHCpan-4.1 server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs).

Proper citation: NetMHCpan Server (RRID:SCR_018182) Copy   

•   Source: SciCrunch Registry

https://mousebytes.ca/home

Open access database for all cognitive data collected from touchscreen related tasks. Performs data comparison and interactive data visualization for any data uploaded onto the site. There are also guidelines and video tutorials available.

Proper citation: Mousebytes (RRID:SCR_017904) Copy   

•   Source: SciCrunch Registry

https://github.com/nci/drishti

Open source scientific visualisation software. Multi platform, volume exploration and presentation software. Used for visualising volumetric data, such as tomography data, electron microscopy data, etc.

Proper citation: Drishti (RRID:SCR_017999) Copy   

•   Source: SciCrunch Registry