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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www-01.ibm.com/software/uk/analytics/spss/
Software package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.
Proper citation: SPSS (RRID:SCR_002865) Copy
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Proper citation: Cytoscape (RRID:SCR_003032) Copy
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
Netherlands institute for permanent access to digital research resources. DANS encourages researchers to make their digital research data findable, accessible, interoperable and reusable. It does this by providing expert advice and certified services.
Proper citation: DANS (RRID:SCR_000904) Copy
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
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
http://eddylab.org/software.html
Software library containing tools for statistical manipulations of data. Tools include profile hidden Markov models for biological sequence analysis, RNA structure analysis, and a prototype noncoding RNA genefinder.
Proper citation: Eddy Lab Software (RRID:SCR_001458) Copy
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
http://platform.visiome.neuroinf.jp/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Analytical tools. Archive files may be written in any format and may include explanatory figures, program sources, readme files, and other related files. The readme file describes the purpose and usage of the archive file. This data sharing framework allows users to improve the reproducibility of simulations. Users can browse the platform contents via branch sites (A catalogue of illusions, Visitope), which introduce user friendly view of items such as basic images and original artworks of visual illusions with high resolution. The items in Visiome Platform are useful not only for reproducing the published results, but also for advancing and expanding the research in Vision Science.
Proper citation: Visiome Platform (RRID:SCR_003049) Copy
https://bioimagesuiteweb.github.io/webapp/index.html
Web applications for analysis of multimodal/multispecies neuroimaging data. Image analysis software package. Has facilities for DTI and fMRI processing. Capabilities for both neuro/cardiac and abdominal image analysis and visualization. Many packages are extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. Can be intergrated with other biomedical image processing software, such as FSL, AFNI, and SPM.
Proper citation: BioImage Suite (RRID:SCR_002986) Copy
http://www.broadinstitute.org/gsea/
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy
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
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
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
Web based integrative platform for transcriptional regulation studies.
Proper citation: Cistrome (RRID:SCR_000242) Copy
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
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
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
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
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
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